Stock Analysis on Net

Illumina Inc. (NASDAQ:ILMN)

This company has been moved to the archive! The financial data has not been updated since November 5, 2021.

Analysis of Short-term (Operating) Activity Ratios 
Quarterly Data

Microsoft Excel

Short-term Activity Ratios (Summary)

Illumina Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019 Jun 30, 2019 Mar 31, 2019 Dec 30, 2018 Sep 30, 2018 Jul 1, 2018 Apr 1, 2018 Dec 31, 2017 Oct 1, 2017 Jul 2, 2017 Apr 2, 2017 Dec 31, 2016 Oct 2, 2016 Jul 3, 2016 Apr 3, 2016
Turnover Ratios
Inventory turnover 3.28 3.27 3.09 2.78 2.42 2.29 2.74 3.00 2.55 2.53 2.55 2.68 2.65 2.67 2.69 2.78 2.72 2.71 2.63 2.44
Receivables turnover 7.09 7.34 6.72 6.65 6.98 8.70 7.53 6.18 6.39 7.24 7.43 6.48 7.49 7.86 7.34 6.70 6.77 6.68 6.59 6.29
Payables turnover 5.30 6.22 6.32 5.40 6.43 7.36 8.11 7.22 7.44 7.63 7.67 5.61 6.35 6.49 6.23 5.79 5.63 4.79 5.54 5.31
Working capital turnover 2.78 0.89 0.79 1.00 1.01 1.09 1.09 0.94 0.96 0.96 1.03 1.24 1.28 1.46 1.46 1.23 1.21 1.27 1.35 1.49
Average No. Days
Average inventory processing period 111 111 118 131 151 160 133 122 143 144 143 136 138 137 136 131 134 134 139 150
Add: Average receivable collection period 52 50 54 55 52 42 48 59 57 50 49 56 49 46 50 55 54 55 55 58
Operating cycle 163 161 172 186 203 202 181 181 200 194 192 192 187 183 186 186 188 189 194 208
Less: Average payables payment period 69 59 58 68 57 50 45 51 49 48 48 65 57 56 59 63 65 76 66 69
Cash conversion cycle 94 102 114 118 146 152 136 130 151 146 144 127 130 127 127 123 123 113 128 139

Based on: 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-K (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-30), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-07-01), 10-Q (reporting date: 2018-04-01), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-10-01), 10-Q (reporting date: 2017-07-02), 10-Q (reporting date: 2017-04-02), 10-K (reporting date: 2016-12-31), 10-Q (reporting date: 2016-10-02), 10-Q (reporting date: 2016-07-03), 10-Q (reporting date: 2016-04-03).


Inventory Turnover
The inventory turnover ratio showed an overall upward trend from 2.44 in April 2017 to 3.28 in October 2021, indicating improved efficiency in managing inventory. Some fluctuations occurred, with notable dips around mid-2020, but the general pattern suggests enhanced inventory utilization over the period.
Receivables Turnover
Receivables turnover increased from 6.29 in April 2017 to a peak of 8.7 in September 2020, demonstrating faster collection of receivables. However, the ratio experienced variability, declining in some quarters before stabilizing around 7.09 by October 2021. This indicates generally effective receivables management with occasional slowdowns.
Payables Turnover
The payables turnover ratio exhibited volatility, rising from 5.31 in April 2017 to a high of 8.11 in June 2020, then declining to 5.3 by October 2021. The fluctuations suggest variability in the company's payment patterns to suppliers, with periods of quicker and slower payments.
Working Capital Turnover
Working capital turnover declined from 1.49 in April 2017 to a low near 0.79 in April 2021, indicating reduced efficiency in using working capital to generate sales. A sharp increase occurred in October 2021 to 2.78, which may reflect a significant operational or financial change toward improved capital utilization.
Average Inventory Processing Period
The average inventory processing period decreased from 150 days in April 2017 to 111 days by October 2021, reflecting faster inventory turnover and improved inventory management. Occasional increases to around 160 days occurred but were followed by reductions, showing a downward trend in the number of days inventory is held.
Average Receivable Collection Period
The receivable collection period generally contracted from 58 days in April 2017 to approximately 50-52 days by late 2021, with some variability throughout the timeframe. This suggests the company has been moderately successful in shortening the time to collect receivables, albeit with some quarter-to-quarter inconsistency.
Operating Cycle
The operating cycle showed a modest decline from 208 days in April 2017 to 163 days by October 2021. This reduction indicates the overall efficiency of converting raw materials into cash improved slightly, supported by shorter inventory and receivables periods.
Average Payables Payment Period
The average payables payment period fluctuated, decreasing from 69 days in April 2017 to a low of 45 days in March 2020 before increasing again to 69 days by October 2021. This suggests changes in payment terms or supplier negotiations, with the company sometimes extending payment periods and other times paying sooner.
Cash Conversion Cycle
The cash conversion cycle trended downward from 139 days in April 2017 to 94 days in October 2021, indicating improved efficiency in managing the time between cash outflows and inflows. Despite periodic increases, the overall decline reflects better working capital management and quicker cash recovery.

Turnover Ratios


Average No. Days


Inventory Turnover

Illumina Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019 Jun 30, 2019 Mar 31, 2019 Dec 30, 2018 Sep 30, 2018 Jul 1, 2018 Apr 1, 2018 Dec 31, 2017 Oct 1, 2017 Jul 2, 2017 Apr 2, 2017 Dec 31, 2016 Oct 2, 2016 Jul 3, 2016 Apr 3, 2016
Selected Financial Data (US$ in millions)
Cost of revenue 338 324 329 323 268 205 240 290 259 265 262 278 256 255 244 236 232 228 230 200 181 176 175
Inventory 401 380 364 372 415 435 384 359 417 420 412 386 374 362 350 333 327 309 299 300 312 311 288
Short-term Activity Ratio
Inventory turnover1 3.28 3.27 3.09 2.78 2.42 2.29 2.74 3.00 2.55 2.53 2.55 2.68 2.65 2.67 2.69 2.78 2.72 2.71 2.63 2.44
Benchmarks
Inventory Turnover, Competitors2
AbbVie Inc. 5.76 5.45 5.40 4.65
Amgen Inc. 1.53 1.53 1.53 1.58
Bristol-Myers Squibb Co. 4.85 5.01 5.61 5.68
Danaher Corp. 4.06 4.28 4.34 4.28
Eli Lilly & Co. 1.79 1.80 1.68 1.38
Gilead Sciences Inc. 3.21 2.99 2.79 2.72
Johnson & Johnson 2.86 2.91 2.86 3.04
Merck & Co. Inc. 2.73 2.79 2.40 2.45
Pfizer Inc. 2.78 1.80 1.28 1.08
Regeneron Pharmaceuticals Inc. 0.88 0.82 0.56 0.58
Thermo Fisher Scientific Inc. 3.90 4.03 4.01 4.02
Vertex Pharmaceuticals Inc. 2.58 2.52 2.56 2.62

Based on: 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-K (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-30), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-07-01), 10-Q (reporting date: 2018-04-01), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-10-01), 10-Q (reporting date: 2017-07-02), 10-Q (reporting date: 2017-04-02), 10-K (reporting date: 2016-12-31), 10-Q (reporting date: 2016-10-02), 10-Q (reporting date: 2016-07-03), 10-Q (reporting date: 2016-04-03).

1 Q3 2021 Calculation
Inventory turnover = (Cost of revenueQ3 2021 + Cost of revenueQ2 2021 + Cost of revenueQ1 2021 + Cost of revenueQ4 2020) ÷ Inventory
= (338 + 324 + 329 + 323) ÷ 401 = 3.28

2 Click competitor name to see calculations.


The financial data reveals several noteworthy trends concerning cost of revenue, inventory levels, and inventory turnover ratios over the examined periods.

Cost of Revenue
The cost of revenue demonstrates an overall upward trajectory from April 2016 to October 2021. Beginning at $175 million in April 2016, the cost generally rises, peaking at several points, including $290 million in December 2019 and reaching a high of $338 million in October 2021. There are intermittent fluctuations, such as a decrease from $290 million in December 2019 to $240 million in March 2020, followed by a recovery and further increases. This pattern suggests periods of volatility but with a strong general growth trend in costs incurred to generate revenue.
Inventory
Inventory levels steadily increased from $288 million in April 2016 to a peak of $420 million around June 2019. Subsequently, inventory values exhibit fluctuations, dropping to $359 million by December 2019 before surging again to $435 million in June 2020. After some volatility, inventory stabilizes around the $380–$400 million range in mid to late 2021. The overall trend of accumulation followed by stabilization could indicate efforts to optimize inventory management after a growth phase.
Inventory Turnover Ratio
Starting from circa 2.44 in late 2016, the inventory turnover ratio shows moderate variation but generally trends upward, moving from values around 2.5 to surpassing 3.0 by mid-2021. Notably, the ratio peaks at 3.28 in October 2021, indicating improved efficiency in converting inventory into sales. Some decline phases occurred, such as a dip to approximately 2.29 in mid-2020, which may align with inventory spikes, but overall the ratio's increase suggests enhanced operational efficiency or better inventory utilization over time.

In summary, the company experienced incremental growth in cost of revenue and inventory in the observed timeframe, accompanied by improving inventory turnover efficiency. While occasional fluctuations in costs and inventory levels suggest periods of operational adjustments, the rising inventory turnover ratio highlights effective management of stock relative to sales activity in recent periods. This may reflect strategic responses to market dynamics or internal process enhancements aimed at streamlining supply chain and production operations.


Receivables Turnover

Illumina Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019 Jun 30, 2019 Mar 31, 2019 Dec 30, 2018 Sep 30, 2018 Jul 1, 2018 Apr 1, 2018 Dec 31, 2017 Oct 1, 2017 Jul 2, 2017 Apr 2, 2017 Dec 31, 2016 Oct 2, 2016 Jul 3, 2016 Apr 3, 2016
Selected Financial Data (US$ in millions)
Revenue 1,108 1,126 1,093 953 794 633 859 952 907 838 846 868 853 830 782 778 714 662 598 619 607 600 572
Accounts receivable, net 604 540 517 487 464 385 472 573 541 470 457 514 433 395 400 411 383 372 368 381 382 372 403
Short-term Activity Ratio
Receivables turnover1 7.09 7.34 6.72 6.65 6.98 8.70 7.53 6.18 6.39 7.24 7.43 6.48 7.49 7.86 7.34 6.70 6.77 6.68 6.59 6.29
Benchmarks
Receivables Turnover, Competitors2
AbbVie Inc. 5.94 5.42 5.24 5.19
Amgen Inc. 5.11 5.39 5.41 5.36
Danaher Corp. 6.69 6.51 6.28 5.51
Eli Lilly & Co. 4.69 4.58 4.56 4.18
Gilead Sciences Inc. 5.95 6.34 6.43 4.98
Johnson & Johnson 6.13 6.00 5.64 6.08
Merck & Co. Inc. 5.56 6.00 5.65 6.11
Pfizer Inc. 5.81 5.23 4.70 5.28
Regeneron Pharmaceuticals Inc. 2.48 1.77 2.20 2.07
Thermo Fisher Scientific Inc. 7.03 6.99 6.46 5.61
Vertex Pharmaceuticals Inc. 6.48 7.19 6.56 7.01

Based on: 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-K (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-30), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-07-01), 10-Q (reporting date: 2018-04-01), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-10-01), 10-Q (reporting date: 2017-07-02), 10-Q (reporting date: 2017-04-02), 10-K (reporting date: 2016-12-31), 10-Q (reporting date: 2016-10-02), 10-Q (reporting date: 2016-07-03), 10-Q (reporting date: 2016-04-03).

1 Q3 2021 Calculation
Receivables turnover = (RevenueQ3 2021 + RevenueQ2 2021 + RevenueQ1 2021 + RevenueQ4 2020) ÷ Accounts receivable, net
= (1,108 + 1,126 + 1,093 + 953) ÷ 604 = 7.09

2 Click competitor name to see calculations.


The analysis of the quarterly financial data reveals several observable trends over the examined periods with respect to revenue, accounts receivable, and receivables turnover ratios.

Revenue Trends
Revenue shows an overall increasing trend from April 2016 through October 2021, starting at 572 million USD and peaking at 1126 million USD in July 2021, followed by a slight decrease to 1108 million USD in October 2021. The growth is marked by fluctuations, including a notable dip in the middle of 2020 coinciding with the pandemic period where revenue fell to 633 million USD in June 2020 from 859 million USD in March 2020. Revenue rebounded sharply thereafter, reaching record highs in 2021.
Accounts Receivable, Net
Net accounts receivable exhibit variability without a consistent directional trend. Beginning at 403 million USD in April 2016, values fluctuate around the 400-500 million USD range, peaking at 604 million USD in October 2021. There was a significant increase in receivables toward the end of 2018, rising to 514 million USD in December 2018, followed by continued fluctuations through 2019 and into 2020. A decline is observed in the mid-2020 period consistent with the revenue dip, but receivables increase again substantially by late 2021.
Receivables Turnover Ratio
This ratio demonstrates moderate variability with values ranging mostly between approximately 6.2 and 8.7. Early data in 2016 are missing; however, from late 2016 onward, the ratio oscillates without a clear upward or downward trend. The highest turnover ratio is seen at 8.7 in June 2020, which coincides with the lowest revenue point in the pandemic period. This may indicate relatively faster collection cycles during that period. Generally, the ratio tends to indicate stable efficiency in converting receivables into cash over the observed timeframe, with occasional peaks and troughs.

In summary, the financial data indicate steady revenue growth with some volatility related to external factors such as the 2020 pandemic. Accounts receivable levels have shown corresponding fluctuations with some lag relative to revenue changes. The receivables turnover ratio reflects a generally stable but variable collection efficiency, with particular acceleration during periods of lower revenue. Together, these trends suggest the company managed to sustain growth and operational efficiency through the observed timeframe despite some disruptive events.


Payables Turnover

Illumina Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019 Jun 30, 2019 Mar 31, 2019 Dec 30, 2018 Sep 30, 2018 Jul 1, 2018 Apr 1, 2018 Dec 31, 2017 Oct 1, 2017 Jul 2, 2017 Apr 2, 2017 Dec 31, 2016 Oct 2, 2016 Jul 3, 2016 Apr 3, 2016
Selected Financial Data (US$ in millions)
Cost of revenue 338 324 329 323 268 205 240 290 259 265 262 278 256 255 244 236 232 228 230 200 181 176 175
Accounts payable 248 200 178 192 156 135 130 149 143 139 137 184 156 149 151 160 158 175 142 138 134 251 155
Short-term Activity Ratio
Payables turnover1 5.30 6.22 6.32 5.40 6.43 7.36 8.11 7.22 7.44 7.63 7.67 5.61 6.35 6.49 6.23 5.79 5.63 4.79 5.54 5.31
Benchmarks
Payables Turnover, Competitors2
Amgen Inc. 5.41 4.92 4.40 4.33
Bristol-Myers Squibb Co. 3.89 2.97 3.69 4.34
Danaher Corp. 5.20 5.54 5.29 4.79
Eli Lilly & Co. 4.46 4.30 3.75 3.41
Gilead Sciences Inc. 9.18 8.70 8.71 5.42
Johnson & Johnson 3.32 3.38 3.34 2.99
Merck & Co. Inc. 4.54 3.93 3.81 3.37
Pfizer Inc. 5.11 3.72 2.68 2.02
Regeneron Pharmaceuticals Inc. 4.23 3.42 2.23 2.36
Thermo Fisher Scientific Inc. 8.31 8.88 8.12 7.45
Vertex Pharmaceuticals Inc. 6.73 6.35 5.99 4.75

Based on: 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-K (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-30), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-07-01), 10-Q (reporting date: 2018-04-01), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-10-01), 10-Q (reporting date: 2017-07-02), 10-Q (reporting date: 2017-04-02), 10-K (reporting date: 2016-12-31), 10-Q (reporting date: 2016-10-02), 10-Q (reporting date: 2016-07-03), 10-Q (reporting date: 2016-04-03).

1 Q3 2021 Calculation
Payables turnover = (Cost of revenueQ3 2021 + Cost of revenueQ2 2021 + Cost of revenueQ1 2021 + Cost of revenueQ4 2020) ÷ Accounts payable
= (338 + 324 + 329 + 323) ÷ 248 = 5.30

2 Click competitor name to see calculations.


The data shows the financial metrics focusing on cost of revenue, accounts payable, and payables turnover ratios over a period from April 2016 to October 2021. Clear trends and variations can be identified for each of these items.

Cost of Revenue
The cost of revenue exhibits an overall increasing trend throughout the period. Starting at $175 million in April 2016, it experiences steady growth with minor fluctuations, reaching $338 million by October 2021. Notable increases occur during the periods ending December 2019 ($290 million) and April 2021 ($323 million), suggesting a rise in operational activity or production costs. There are short-term declines such as from March 2020 ($290 million) to June 2020 ($240 million), possibly reflecting external disruptions. Despite these variations, the long-term movement is upwards, indicating growing scale or input cost inflation.
Accounts Payable
Accounts payable values fluctuate more noticeably across the quarters. Early figures show some volatility, e.g., from $155 million in April 2016 to $251 million in July 2016, then dipping to $134 million by October 2016. Mid-period amounts remain relatively stable with moderate increases and decreases, maintaining a range generally between $130 million and $200 million. In the final quarters (2021), accounts payable rise substantially to $248 million, the highest in the dataset, which might reflect extended credit periods or increased procurement correlating with the higher cost of revenue.
Payables Turnover
The payables turnover ratio data begins from the quarter ending in October 2016 and reveals a downward trend overall. Initially, ratios fluctuate around mid-5s to mid-6s, with spikes reaching as high as 8.11 in March 2020, indicating a faster payment cycle during that quarter. However, after this peak, the ratio decreases steadily into 2021, falling to approximately 5.3 by October 2021. This decline suggests a slowing in the rate at which the company settles its payables, consistent with increased accounts payable balances and potentially reflecting changes in working capital management or supplier payment terms.

In summary, the company’s cost of revenue growth over time implies expansion or rising costs, while accounts payable fluctuations and the decreasing payables turnover ratio imply an extended payment period or shifting supplier credit relationships. These dynamics could impact cash flow management and warrant further review.


Working Capital Turnover

Illumina Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019 Jun 30, 2019 Mar 31, 2019 Dec 30, 2018 Sep 30, 2018 Jul 1, 2018 Apr 1, 2018 Dec 31, 2017 Oct 1, 2017 Jul 2, 2017 Apr 2, 2017 Dec 31, 2016 Oct 2, 2016 Jul 3, 2016 Apr 3, 2016
Selected Financial Data (US$ in millions)
Current assets 2,451 5,310 5,642 4,483 4,329 4,194 4,324 4,451 4,222 4,156 4,545 4,490 4,262 3,337 3,194 2,980 2,805 2,643 2,517 2,318 2,278 2,143 2,074
Less: Current liabilities 914 874 1,268 1,244 1,115 1,115 1,054 665 619 612 1,241 1,804 1,735 1,217 1,180 746 665 682 721 705 629 582 481
Working capital 1,537 4,436 4,374 3,239 3,214 3,079 3,270 3,786 3,603 3,544 3,304 2,686 2,527 2,120 2,014 2,234 2,140 1,961 1,796 1,613 1,649 1,562 1,593
 
Revenue 1,108 1,126 1,093 953 794 633 859 952 907 838 846 868 853 830 782 778 714 662 598 619 607 600 572
Short-term Activity Ratio
Working capital turnover1 2.78 0.89 0.79 1.00 1.01 1.09 1.09 0.94 0.96 0.96 1.03 1.24 1.28 1.46 1.46 1.23 1.21 1.27 1.35 1.49
Benchmarks
Working Capital Turnover, Competitors2
AbbVie Inc. 130.12
Amgen Inc. 2.55 5.35 2.84 2.55
Bristol-Myers Squibb Co. 4.43 4.24 4.25 3.72
Danaher Corp. 7.98 3.12 3.45 3.48
Eli Lilly & Co. 6.73 12.14 5.21 4.93
Gilead Sciences Inc. 7.25 7.09 7.06 5.30
Johnson & Johnson 5.97 5.93 7.26 9.44
Merck & Co. Inc. 6.51 6.97 84.97 109.83
Pfizer Inc. 4.29 4.21 3.60 4.58
Regeneron Pharmaceuticals Inc. 1.35 1.29 1.35 1.20
Thermo Fisher Scientific Inc. 2.30 3.10 3.36 2.76
Vertex Pharmaceuticals Inc. 1.03 1.01 0.97 0.99

Based on: 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-K (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-30), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-07-01), 10-Q (reporting date: 2018-04-01), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-10-01), 10-Q (reporting date: 2017-07-02), 10-Q (reporting date: 2017-04-02), 10-K (reporting date: 2016-12-31), 10-Q (reporting date: 2016-10-02), 10-Q (reporting date: 2016-07-03), 10-Q (reporting date: 2016-04-03).

1 Q3 2021 Calculation
Working capital turnover = (RevenueQ3 2021 + RevenueQ2 2021 + RevenueQ1 2021 + RevenueQ4 2020) ÷ Working capital
= (1,108 + 1,126 + 1,093 + 953) ÷ 1,537 = 2.78

2 Click competitor name to see calculations.


The financial data reveals several notable trends over the analyzed periods. Working capital demonstrates a general growth trajectory from early 2016 through the mid-2021 periods, starting at 1,593 million USD and increasing to a peak of 4,436 million USD by July 2021, before a sharp decline to 1,537 million USD in October 2021. This pattern indicates an initial strengthening of liquidity and short-term asset management, followed by a significant reduction at the end of the observed timeline.

Revenue exhibits a consistent upward trend with some fluctuations. Starting at 572 million USD in April 2016, revenue gradually increased, reaching above 1,000 million USD in the first half of 2021, peaking at 1,126 million USD in October 2021. Despite some dips, particularly in early 2020 where revenue dropped to 633 million USD in June 2020 from 952 million USD in December 2019, subsequent quarters show recovery and continued growth. This suggests resilient sales performance, with temporary setbacks potentially linked to external factors affecting market conditions.

The working capital turnover ratio, which measures how efficiently working capital is used to generate revenue, shows a declining trend over most periods analyzed until mid-2021. The ratio decreases from about 1.49 in December 2016 to approximately 0.79 in April 2021, indicating decreasing efficiency in converting working capital into revenue during that span. However, an abrupt increase to 2.78 in October 2021 deviates from this pattern, aligning with the significant drop in working capital and slightly decreased revenue in that quarter, implying a sudden change in operational or financial management effectiveness.

Working Capital
General increase over several years indicating improved liquidity, with a peak in mid-2021 followed by a sharp decline at the end of the period.
Revenue
Consistent growth trend with short-term fluctuations and a notable dip during early 2020, followed by recovery and continued revenue gains through late 2021.
Working Capital Turnover
Gradual decline in efficiency from 2016 to early 2021, followed by a marked spike in late 2021, suggesting significant changes in working capital management or revenue generation efficiency.

Average Inventory Processing Period

Illumina Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019 Jun 30, 2019 Mar 31, 2019 Dec 30, 2018 Sep 30, 2018 Jul 1, 2018 Apr 1, 2018 Dec 31, 2017 Oct 1, 2017 Jul 2, 2017 Apr 2, 2017 Dec 31, 2016 Oct 2, 2016 Jul 3, 2016 Apr 3, 2016
Selected Financial Data
Inventory turnover 3.28 3.27 3.09 2.78 2.42 2.29 2.74 3.00 2.55 2.53 2.55 2.68 2.65 2.67 2.69 2.78 2.72 2.71 2.63 2.44
Short-term Activity Ratio (no. days)
Average inventory processing period1 111 111 118 131 151 160 133 122 143 144 143 136 138 137 136 131 134 134 139 150
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
AbbVie Inc. 63 67 68 79
Amgen Inc. 239 239 239 231
Bristol-Myers Squibb Co. 75 73 65 64
Danaher Corp. 90 85 84 85
Eli Lilly & Co. 204 203 217 265
Gilead Sciences Inc. 114 122 131 134
Johnson & Johnson 128 125 128 120
Merck & Co. Inc. 134 131 152 149
Pfizer Inc. 131 203 284 338
Regeneron Pharmaceuticals Inc. 415 445 653 625
Thermo Fisher Scientific Inc. 94 91 91 91
Vertex Pharmaceuticals Inc. 142 145 142 139

Based on: 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-K (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-30), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-07-01), 10-Q (reporting date: 2018-04-01), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-10-01), 10-Q (reporting date: 2017-07-02), 10-Q (reporting date: 2017-04-02), 10-K (reporting date: 2016-12-31), 10-Q (reporting date: 2016-10-02), 10-Q (reporting date: 2016-07-03), 10-Q (reporting date: 2016-04-03).

1 Q3 2021 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 3.28 = 111

2 Click competitor name to see calculations.


The data demonstrates a discernible trend in inventory management metrics over the analyzed periods. The inventory turnover ratio, which measures how many times inventory is sold and replaced over a period, shows an overall increasing trend from the initial recorded value of 2.44 to 3.28 by the end of the last period. This indicates improving efficiency in inventory usage.

Conversely, the average inventory processing period, expressed in days, reflects the time taken to process inventory on average. This metric generally decreases over time, moving from 150 days at one of the earlier recorded periods to 111 days at the end of the time frame, suggesting a reduction in the duration inventory is held before being sold or processed further.

Inventory Turnover
This ratio increased progressively with minor fluctuations, notably rising from approximately 2.44 to 3.28, indicative of a faster rate of inventory sales and replenishment. The upward movement implies strengthened operational efficiency and potentially a better alignment of stock levels with sales demand.
Average Inventory Processing Period
The period decreased generally from 150 days down to 111 days, showing that inventory is being turned over more quickly. While there were some periods of increase or plateau, the overall downward trajectory supports the conclusion of improved inventory management and possibly enhanced supply chain responsiveness.

In summary, the trends suggest that the company has increased its efficiency in managing inventory by reducing the holding time and speeding up turnover. These developments likely contribute to better capital utilization and could reflect improvements in sales performance or inventory planning practices.


Average Receivable Collection Period

Illumina Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019 Jun 30, 2019 Mar 31, 2019 Dec 30, 2018 Sep 30, 2018 Jul 1, 2018 Apr 1, 2018 Dec 31, 2017 Oct 1, 2017 Jul 2, 2017 Apr 2, 2017 Dec 31, 2016 Oct 2, 2016 Jul 3, 2016 Apr 3, 2016
Selected Financial Data
Receivables turnover 7.09 7.34 6.72 6.65 6.98 8.70 7.53 6.18 6.39 7.24 7.43 6.48 7.49 7.86 7.34 6.70 6.77 6.68 6.59 6.29
Short-term Activity Ratio (no. days)
Average receivable collection period1 52 50 54 55 52 42 48 59 57 50 49 56 49 46 50 55 54 55 55 58
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
AbbVie Inc. 61 67 70 70
Amgen Inc. 71 68 67 68
Danaher Corp. 55 56 58 66
Eli Lilly & Co. 78 80 80 87
Gilead Sciences Inc. 61 58 57 73
Johnson & Johnson 60 61 65 60
Merck & Co. Inc. 66 61 65 60
Pfizer Inc. 63 70 78 69
Regeneron Pharmaceuticals Inc. 147 206 166 177
Thermo Fisher Scientific Inc. 52 52 56 65
Vertex Pharmaceuticals Inc. 56 51 56 52

Based on: 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-K (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-30), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-07-01), 10-Q (reporting date: 2018-04-01), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-10-01), 10-Q (reporting date: 2017-07-02), 10-Q (reporting date: 2017-04-02), 10-K (reporting date: 2016-12-31), 10-Q (reporting date: 2016-10-02), 10-Q (reporting date: 2016-07-03), 10-Q (reporting date: 2016-04-03).

1 Q3 2021 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 7.09 = 52

2 Click competitor name to see calculations.


The receivables turnover ratio exhibits a generally fluctuating upward trend from 2016 through 2021, with values ranging roughly between 6.18 and 8.7. Starting in early 2016, the turnover ratio begins at approximately 6.29, gradually increasing with some volatility and peaking at 8.7 around mid-2020. Following this peak, there is a decline observed, though the values remain elevated relative to earlier periods. The pattern suggests improvements in the efficiency of collecting receivables over time, with occasional periods of slight easing.

The average receivable collection period corresponds inversely with the receivables turnover ratio, exhibiting a downward trend with some variability. Initially close to 58 days in early 2016, the collection period decreases to around 42 days by mid-2020, indicating faster collection of receivables during this timeframe. There are intermittent increases where collection periods rise to the mid-50 day range, indicating some fluctuations in collection efficiency. Towards the end of the period analyzed, the average collection period stabilizes near the low 50s number of days.

Receivables Turnover Ratio
Shows an overall improvement in accounts receivable management, with turnover increasing from approximately 6.3 to a peak near 8.7, suggesting enhanced liquidity and efficient credit management.
Fluctuations imply periods of both tightening and easing in credit policies or changes in customer payment behaviors.
Average Receivable Collection Period
Displays a general decrease from near 58 days to approximately 42 days, indicating faster collection cycles and improved cash flow timings.
Variations in the shortened periods reflect possible operational factors such as customer payment patterns or changes in billing and collection processes.

Overall, these metrics suggest progressive improvements in receivables management efficiency, increasing the speed of cash conversion. However, the noted fluctuations indicate that the company periodically experiences varying collection dynamics, which may be influenced by market conditions, customer credit quality, or internal collection efforts.


Operating Cycle

Illumina Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019 Jun 30, 2019 Mar 31, 2019 Dec 30, 2018 Sep 30, 2018 Jul 1, 2018 Apr 1, 2018 Dec 31, 2017 Oct 1, 2017 Jul 2, 2017 Apr 2, 2017 Dec 31, 2016 Oct 2, 2016 Jul 3, 2016 Apr 3, 2016
Selected Financial Data
Average inventory processing period 111 111 118 131 151 160 133 122 143 144 143 136 138 137 136 131 134 134 139 150
Average receivable collection period 52 50 54 55 52 42 48 59 57 50 49 56 49 46 50 55 54 55 55 58
Short-term Activity Ratio
Operating cycle1 163 161 172 186 203 202 181 181 200 194 192 192 187 183 186 186 188 189 194 208
Benchmarks
Operating Cycle, Competitors2
AbbVie Inc. 124 134 138 149
Amgen Inc. 310 307 306 299
Danaher Corp. 145 141 142 151
Eli Lilly & Co. 282 283 297 352
Gilead Sciences Inc. 175 180 188 207
Johnson & Johnson 188 186 193 180
Merck & Co. Inc. 200 192 217 209
Pfizer Inc. 194 273 362 407
Regeneron Pharmaceuticals Inc. 562 651 819 802
Thermo Fisher Scientific Inc. 146 143 147 156
Vertex Pharmaceuticals Inc. 198 196 198 191

Based on: 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-K (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-30), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-07-01), 10-Q (reporting date: 2018-04-01), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-10-01), 10-Q (reporting date: 2017-07-02), 10-Q (reporting date: 2017-04-02), 10-K (reporting date: 2016-12-31), 10-Q (reporting date: 2016-10-02), 10-Q (reporting date: 2016-07-03), 10-Q (reporting date: 2016-04-03).

1 Q3 2021 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 111 + 52 = 163

2 Click competitor name to see calculations.


The analysis of the quarterly financial data reveals discernible trends in the average inventory processing period, average receivable collection period, and the operating cycle over the observed timeframe.

Average Inventory Processing Period
The average inventory processing period shows a general pattern of fluctuation with some periods of decline and others of increase. Initially, the period decreased from 150 days to a low of 122 days by the end of 2019, indicating improved efficiency in inventory processing. However, starting from 2020, there is an observable increase, peaking at 160 days in September 2020, which suggests a slowdown or buildup in inventory handling during that period. Following this peak, the period steadily declines again, reaching 111 days by the third quarter of 2021, marking a significant improvement in inventory turnover relative to prior quarters.
Average Receivable Collection Period
The average receivable collection period exhibits a relatively stable trend with moderate fluctuations. Starting at 58 days, it declines and oscillates between 42 and 59 days throughout the periods. Notably, there is a reduction to 42 days in the June 2020 quarter, reflecting enhanced efficiency in receivables collection during that time. Post-mid 2020, a slight increase occurs, with the collection period settling around the low fifties, indicating some variability but overall consistent collection performance.
Operating Cycle
The operating cycle, combining both inventory processing and receivables collection periods, displays a decreasing trend from 208 days to a low of 161 days by the third quarter of 2021, despite intermittent rises. It initially decreases until late 2019, reflective of shorter processing and collection periods. While there is a modest increase in the cycle during 2020, peaking above 200 days, the overall trajectory is downward, suggesting an overall improvement in the operating efficiency of the company towards the latest quarters.

Overall, the data indicates improvements in operational efficiency over the long term, with notable gains in inventory processing and a relatively steady receivables collection period. The spikes observed during 2020 may reflect external factors impacting operational timings, but the subsequent recovery and continued downward trend in the operating cycle highlight effective management responses and stronger operational controls.


Average Payables Payment Period

Illumina Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019 Jun 30, 2019 Mar 31, 2019 Dec 30, 2018 Sep 30, 2018 Jul 1, 2018 Apr 1, 2018 Dec 31, 2017 Oct 1, 2017 Jul 2, 2017 Apr 2, 2017 Dec 31, 2016 Oct 2, 2016 Jul 3, 2016 Apr 3, 2016
Selected Financial Data
Payables turnover 5.30 6.22 6.32 5.40 6.43 7.36 8.11 7.22 7.44 7.63 7.67 5.61 6.35 6.49 6.23 5.79 5.63 4.79 5.54 5.31
Short-term Activity Ratio (no. days)
Average payables payment period1 69 59 58 68 57 50 45 51 49 48 48 65 57 56 59 63 65 76 66 69
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Amgen Inc. 67 74 83 84
Bristol-Myers Squibb Co. 94 123 99 84
Danaher Corp. 70 66 69 76
Eli Lilly & Co. 82 85 97 107
Gilead Sciences Inc. 40 42 42 67
Johnson & Johnson 110 108 109 122
Merck & Co. Inc. 80 93 96 108
Pfizer Inc. 71 98 136 181
Regeneron Pharmaceuticals Inc. 86 107 164 155
Thermo Fisher Scientific Inc. 44 41 45 49
Vertex Pharmaceuticals Inc. 54 57 61 77

Based on: 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-K (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-30), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-07-01), 10-Q (reporting date: 2018-04-01), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-10-01), 10-Q (reporting date: 2017-07-02), 10-Q (reporting date: 2017-04-02), 10-K (reporting date: 2016-12-31), 10-Q (reporting date: 2016-10-02), 10-Q (reporting date: 2016-07-03), 10-Q (reporting date: 2016-04-03).

1 Q3 2021 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 5.30 = 69

2 Click competitor name to see calculations.


Payables Turnover Ratio
The payables turnover ratio demonstrates variability over the analyzed periods with a general upward trend until the end of 2019, followed by increased fluctuation. Starting from a level of approximately 5.31 in early 2017, the ratio gradually increased, reaching a peak around 8.11 by the first quarter of 2020. After this peak, a declining trend is observed, with the ratio decreasing to around 5.3 by late 2021. This suggests that the company initially improved its efficiency in managing payables but later experienced a reduction in turnover rate.
Average Payables Payment Period (days)
The average payables payment period shows an inverse pattern relative to the turnover ratio, with shorter payment periods correlating to higher turnover ratios. The payment period decreased from approximately 69 days in early 2017 to a low of about 45 days in mid-2020, reflecting quicker payments to suppliers. However, post mid-2020, the payment period increased again, reaching close to 69 days by late 2021. This indicates a strategic shift towards extending payment terms in the latter periods.
Overall Analysis
The data indicates that the company actively managed its payables over the time frame, initially reducing the payment period and increasing the payables turnover ratio, which typically improves supplier relationships and may enhance credit terms. The reversal of this trend starting around mid-2020 suggests a change in working capital management strategy, possibly due to external factors impacting cash flow or supplier negotiations. The oscillations in both metrics towards the end of the period under review highlight a period of adjustment or volatility in the company's payables management.

Cash Conversion Cycle

Illumina Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Oct 3, 2021 Jul 4, 2021 Apr 4, 2021 Dec 31, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019 Jun 30, 2019 Mar 31, 2019 Dec 30, 2018 Sep 30, 2018 Jul 1, 2018 Apr 1, 2018 Dec 31, 2017 Oct 1, 2017 Jul 2, 2017 Apr 2, 2017 Dec 31, 2016 Oct 2, 2016 Jul 3, 2016 Apr 3, 2016
Selected Financial Data
Average inventory processing period 111 111 118 131 151 160 133 122 143 144 143 136 138 137 136 131 134 134 139 150
Average receivable collection period 52 50 54 55 52 42 48 59 57 50 49 56 49 46 50 55 54 55 55 58
Average payables payment period 69 59 58 68 57 50 45 51 49 48 48 65 57 56 59 63 65 76 66 69
Short-term Activity Ratio
Cash conversion cycle1 94 102 114 118 146 152 136 130 151 146 144 127 130 127 127 123 123 113 128 139
Benchmarks
Cash Conversion Cycle, Competitors2
Amgen Inc. 243 233 223 215
Danaher Corp. 75 75 73 75
Eli Lilly & Co. 200 198 200 245
Gilead Sciences Inc. 135 138 146 140
Johnson & Johnson 78 78 84 58
Merck & Co. Inc. 120 99 121 101
Pfizer Inc. 123 175 226 226
Regeneron Pharmaceuticals Inc. 476 544 655 647
Thermo Fisher Scientific Inc. 102 102 102 107
Vertex Pharmaceuticals Inc. 144 139 137 114

Based on: 10-Q (reporting date: 2021-10-03), 10-Q (reporting date: 2021-07-04), 10-Q (reporting date: 2021-04-04), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-27), 10-Q (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-K (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-K (reporting date: 2018-12-30), 10-Q (reporting date: 2018-09-30), 10-Q (reporting date: 2018-07-01), 10-Q (reporting date: 2018-04-01), 10-K (reporting date: 2017-12-31), 10-Q (reporting date: 2017-10-01), 10-Q (reporting date: 2017-07-02), 10-Q (reporting date: 2017-04-02), 10-K (reporting date: 2016-12-31), 10-Q (reporting date: 2016-10-02), 10-Q (reporting date: 2016-07-03), 10-Q (reporting date: 2016-04-03).

1 Q3 2021 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 111 + 5269 = 94

2 Click competitor name to see calculations.


The analysis of the financial periods from mid-2016 through late 2021 reveals several notable trends in operational efficiency and working capital management.

Average Inventory Processing Period
This metric demonstrates a gradual decrease over the observed timeframe, indicating improved inventory turnover and possibly enhanced supply chain management. Starting around 150 days in early 2017, the period declined to approximately 111 days by the last reported quarter in 2021. There were minor fluctuations within this trend, including a peak near 160 days in late 2020, but the overall movement suggests a positive development in reducing the time inventory remains on hand.
Average Receivable Collection Period
The receivable collection period exhibits moderate volatility but maintains a general downward trajectory from the mid-50s range in early 2017 to values near 50 days towards the end of 2021. Shorter collection periods typically enhance cash flow, and fluctuations such as the rise to 59 days in late 2019 suggest temporary challenges in collections. However, the recovery and maintenance of lower days in the final periods imply effective credit and collection policies.
Average Payables Payment Period
This period shows variability without a clear, consistent trend. Values oscillate between highs of nearly 76 days in late 2016 and lows of about 45 days in mid-2020. The ability to manage payables timing strategically could reflect negotiation success with suppliers or adjustments to cash management priorities. An uptick back to nearly 69 days in late 2021 indicates a return to longer payment cycles, which might assist cash conservation but could affect supplier relations.
Cash Conversion Cycle
The cash conversion cycle (CCC) represents the net time between cash outflows and inflows related to operations. It consistently decreased from around 139 days in early 2017 to a notable low of 94 days by late 2021. Despite intermittent increases—such as rises near 150 days in 2019 and 2020—the overall decline demonstrates improved efficiency in converting inventory and receivables back into cash. This enhancement likely supports stronger liquidity and operational cash flow management.

In summary, the company has generally improved its operational efficiency regarding inventory turnover and receivable collections, contributing to a shortened cash conversion cycle. While payable periods fluctuate, the net effect yields more effective working capital utilization over the analyzed quarters.