Stock Analysis on Net

This company has been moved to the archive! The financial data has not been updated since August 1, 2024.

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Kellanova, short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Oct 1, 2022 Jul 2, 2022 Apr 2, 2022 Dec 31, 2021 Oct 2, 2021 Jul 3, 2021 Apr 3, 2021 Dec 31, 2020 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
Turnover Ratios
Inventory turnover 7.11 7.15 7.11 6.06 5.91 5.86 6.05 6.21 6.02 6.23 6.88 6.88 6.78 6.97 7.04 7.05 7.35 7.61 7.50
Receivables turnover 7.75 7.79 8.37 7.71 7.50 8.23 8.82 7.51 7.74 8.46 9.52 8.47 8.46 8.40 8.96 8.32 7.96 7.70 8.62
Payables turnover 3.72 3.92 3.82 3.54 3.59 3.64 3.60 3.64 3.53 3.59 3.74 3.75 3.72 3.71 3.66 3.63 3.78 3.89 3.85
Working capital turnover
Average No. Days
Average inventory processing period 51 51 51 60 62 62 60 59 61 59 53 53 54 52 52 52 50 48 49
Add: Average receivable collection period 47 47 44 47 49 44 41 49 47 43 38 43 43 43 41 44 46 47 42
Operating cycle 98 98 95 107 111 106 101 108 108 102 91 96 97 95 93 96 96 95 91
Less: Average payables payment period 98 93 96 103 102 100 101 100 104 102 98 97 98 98 100 100 97 94 95
Cash conversion cycle 0 5 -1 4 9 6 0 8 4 0 -7 -1 -1 -3 -7 -4 -1 1 -4

Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-K (reporting date: 2019-12-28), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).


The financial data reveals several notable trends and fluctuations across key operational efficiency ratios over the analyzed periods:

Inventory Turnover
The inventory turnover ratio shows a gradual decline from a high of 7.61 in June 2020 to a low point of around 5.86 in July 2023, before rebounding to approximately 7.15 by June 2024. This suggests that inventory was being converted to sales less frequently during the middle periods, indicating possible slower inventory movement or increased stock levels, followed by a recovery in turnover efficiency towards the most recent periods.
Receivables Turnover
Receivables turnover fluctuates moderately, starting at 8.62 in June 2020 and experiencing periods of both decline and improvement. It dips to its lower range around 7.5-7.7 during late 2022 and early 2023, then rises again to near 8.37 in March 2024. This pattern may reflect varying effectiveness in credit and collections management, with temporary extensions in collection periods being offset later by improved cash collections.
Payables Turnover
The payables turnover ratio remains relatively stable, hovering mostly between 3.5 and 3.9. A slight downward trend is observed around 2022, indicating marginally longer payment periods, but it recovers somewhat in 2023 and 2024. This suggests a controlled management of payables with consistent payment practices over the periods.
Average Inventory Processing Period
The average inventory days increased from 49 days in March 2020 to a peak of around 62 days during mid-2023, implying slower inventory turnover and potentially holding more inventory on hand. By mid-2024, this period shortens back to around 51 days, indicating improved inventory management and faster turnover.
Average Receivable Collection Period
Receivables collection days vary across the period, with a range typically between 38 and 49 days. The data shows a tendency towards longer collection durations in late 2022 and mid-2023, before stabilizing close to 47 days towards mid-2024. Longer collection periods could indicate relaxed credit terms or challenges in receivables management during the peak periods.
Operating Cycle
The operating cycle, which sums inventory and receivable periods, ranges between 91 and 111 days, showing a gradual lengthening especially around 2022 to 2023. This suggests a temporary slowdown in overall working capital turnover during these years, potentially reflecting operational challenges or shifting market conditions.
Average Payables Payment Period
The payables payment period is relatively consistent, mostly within 93 to 104 days, with slight increases noted during 2022 and early 2023. This indicates a tendency to maintain stable payment schedules to suppliers with minor extensions during certain periods, possibly to optimize cash flow.
Cash Conversion Cycle
The cash conversion cycle fluctuates notably, with negative values (e.g., -7 days) occurring in some quarters, indicating that payables are paid after cash is collected from customers, which is generally positive for liquidity. However, certain periods show positive values reaching up to 9 days, suggesting temporary increases in cash outflow timing relative to cash inflows. The pattern points to a dynamic management of cash flow timing across the periods.

Overall, the data indicates fluctuating operational efficiency, with periods of slower inventory and receivables turnover corresponding with longer operating cycles, primarily during 2022 and 2023. The recent improvements in inventory turnover and stabilized receivable and payable periods point to an enhanced working capital management approach heading into 2024.


Turnover Ratios


Average No. Days


Inventory Turnover

Kellanova, inventory turnover calculation (quarterly data)

Microsoft Excel
Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Oct 1, 2022 Jul 2, 2022 Apr 2, 2022 Dec 31, 2021 Oct 2, 2021 Jul 3, 2021 Apr 3, 2021 Dec 31, 2020 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
Selected Financial Data (US$ in millions)
Cost of goods sold 2,031 2,169 1,628 2,596 2,257 2,358 2,673 2,793 2,721 2,513 2,415 2,457 2,331 2,418 2,279 2,228 2,268 2,268 2,135 2,372 2,275 2,415
Inventories 1,185 1,210 1,243 1,632 1,706 1,801 1,768 1,682 1,678 1,559 1,398 1,378 1,365 1,319 1,284 1,263 1,230 1,189 1,226 1,200 1,234 1,319
Short-term Activity Ratio
Inventory turnover1 7.11 7.15 7.11 6.06 5.91 5.86 6.05 6.21 6.02 6.23 6.88 6.88 6.78 6.97 7.04 7.05 7.35 7.61 7.50
Benchmarks
Inventory Turnover, Competitors2
Coca-Cola Co. 3.85 3.72 4.19 4.33 3.94 3.86 4.25 4.74 4.69 4.26 4.50 4.67 4.37 4.04 4.11
Mondelēz International Inc. 5.35 5.92 6.16 5.78 5.66 5.82 5.97 5.71 6.12 6.33 6.45 5.84 5.67 6.13 6.10
PepsiCo Inc. 7.12 7.57 7.85 7.59 7.01 7.22 7.77 7.83 7.26 7.95 8.53 8.11 6.82 7.10 7.62
Philip Morris International Inc. 1.40 1.31 1.20 1.31 1.25 1.10 1.15 1.54 1.41 1.19 1.15 1.20 1.11 1.05 1.00

Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-K (reporting date: 2019-12-28), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Inventory turnover = (Cost of goods soldQ2 2024 + Cost of goods soldQ1 2024 + Cost of goods soldQ4 2023 + Cost of goods soldQ3 2023) ÷ Inventories
= (2,031 + 2,169 + 1,628 + 2,596) ÷ 1,185 = 7.11

2 Click competitor name to see calculations.


The analysis of the quarterly financial data reveals several key trends related to cost of goods sold (COGS), inventories, and inventory turnover ratios over the observed periods.

Cost of Goods Sold (COGS)
COGS values generally display moderate fluctuations across the quarters. Early quarters in 2019 show COGS around a range of approximately 2,275 to 2,415 million US dollars, with some variability but no clear direction. During 2020, values remain relatively stable between approximately 2,228 and 2,279 million US dollars. In 2021, COGS increases somewhat, trending toward higher levels in the range of 2,331 to 2,457 million US dollars. The upward trend continues into 2022 where COGS peaks around 2,793 million US dollars in the third quarter before slightly declining thereafter. In early 2023, COGS decreases noticeably, hitting approximately 1,628 million US dollars in the first quarter of 2024, suggesting a significant reduction compared to previous years. This decline may reflect changes in production levels, cost management, or external factors affecting costs.
Inventories
Inventory levels show a consistent upward trajectory from 2019 through early 2023. Starting around 1,200 to 1,300 million US dollars in 2019, inventories steadily increase to peak around 1,768 million by late 2022. Following this peak, a decline is observed in 2023, with values dropping to about 1,185 million US dollars in mid-2024. This reduction in inventory levels in the most recent periods suggests either improved inventory management or changes in demand or supply chain dynamics.
Inventory Turnover Ratio
The inventory turnover ratio begins at approximately 7.5 in early 2019 and demonstrates a gradual, steady decline through 2021 and 2022, reaching lows near 5.86 by mid-2023. This decreasing trend suggests slower inventory movement or sales relative to inventory held, indicating reduced efficiency in inventory utilization during this time. However, in the most recent quarters of 2023 and early 2024, the ratio notably increases again to approximately 7.15, indicating a recovery in efficiency and faster inventory turnover. This shift may be related to the corresponding decrease in inventory levels seen during the same periods.
Overall Insights
The combined trends indicate a period of inventory accumulation and slower turnover from 2019 through mid-2023, accompanied by generally rising COGS and inventory balances. More recently, there is a marked reduction in both inventory and COGS, alongside a rebound in inventory turnover rates, which could point to operational improvements, shifts in market demand, or strategic inventory management adjustments. The recent improvements in turnover ratios along with decreasing inventory and COGS may signal efforts to optimize working capital and improve cost controls going forward.

Receivables Turnover

Kellanova, receivables turnover calculation (quarterly data)

Microsoft Excel
Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Oct 1, 2022 Jul 2, 2022 Apr 2, 2022 Dec 31, 2021 Oct 2, 2021 Jul 3, 2021 Apr 3, 2021 Dec 31, 2020 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
Selected Financial Data (US$ in millions)
Net sales 3,192 3,200 2,490 3,939 3,351 3,342 3,833 3,946 3,864 3,672 3,420 3,622 3,555 3,584 3,464 3,429 3,465 3,412 3,223 3,372 3,461 3,522
Accounts receivable, net 1,654 1,666 1,568 1,876 1,930 1,820 1,736 1,985 1,884 1,687 1,489 1,680 1,659 1,660 1,537 1,626 1,692 1,748 1,576 1,643 1,643 1,633
Short-term Activity Ratio
Receivables turnover1 7.75 7.79 8.37 7.71 7.50 8.23 8.82 7.51 7.74 8.46 9.52 8.47 8.46 8.40 8.96 8.32 7.96 7.70 8.62
Benchmarks
Receivables Turnover, Competitors2
Coca-Cola Co. 10.22 10.86 13.42 12.88 11.12 9.46 12.33 10.60 9.19 8.65 11.01 9.72 9.02 8.89 10.50
Mondelēz International Inc. 11.37 9.04 9.91 10.12 11.63 9.39 10.20 10.80 12.11 9.94 12.29 10.61 12.51 10.21 11.57
PepsiCo Inc. 7.71 8.40 8.46 7.78 7.87 8.41 8.50 7.79 7.80 8.58 9.16 8.03 7.67 8.03 8.37
Philip Morris International Inc. 8.60 8.58 10.16 8.81 8.07 8.80 8.25 8.21 8.32 8.65 10.06 9.10 8.50 8.82 9.88

Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-K (reporting date: 2019-12-28), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Receivables turnover = (Net salesQ2 2024 + Net salesQ1 2024 + Net salesQ4 2023 + Net salesQ3 2023) ÷ Accounts receivable, net
= (3,192 + 3,200 + 2,490 + 3,939) ÷ 1,654 = 7.75

2 Click competitor name to see calculations.


The net sales of the company exhibit variability across the reported quarters, with a general pattern of moderate fluctuations. Initially, net sales started at approximately $3.5 billion in early 2019, experiencing a gradual decline through the end of 2019. This was followed by a modest recovery and an upward trend through most of 2021 and 2022, reaching a peak near $3.9 billion in late 2022. However, from early 2023 onwards, there is a noticeable downward trend in net sales, with the figures dropping below $3.5 billion and further declining as observed in the first two quarters of 2024.

Accounts receivable, net, similarly show variability but without a clear linear trend. Starting at around $1.63 billion in early 2019, the value fluctuated throughout the periods, peaking near $1.98 billion in late 2022. Following this peak, there is a decreasing pattern into 2023 and the first half of 2024. This movement in receivables generally mirrors the variations seen in net sales, indicating potentially consistent credit policies or collection patterns relative to sales levels.

The receivables turnover ratio, available from March 2020 onwards, generally fluctuates between approximately 7.5 and 9.5 times. The turnover ratio indicates the efficiency in collecting receivables. A relatively higher and stable ratio around 8 to 9 in some periods suggests effective collection processes, while dips below 8 could imply slower collection periods or relaxed credit terms. Throughout the data, the ratio does not show a strong upward or downward trend but instead exhibits cyclical variations, which may correspond to seasonal factors or changes in credit management practices.

Net Sales
Displayed moderate fluctuations with a general rise from early 2021 to late 2022, peaking close to $3.9 billion, then declining in 2023 and early 2024.
Accounts Receivable, Net
Fluctuated alongside net sales, peaking in late 2022 near $2 billion, followed by a downward trend into mid-2024.
Receivables Turnover Ratio
Varied between 7.5 and 9.5 times with no definitive trend, reflecting varying efficiency in receivables collection over time.

Overall, the data reveals cyclical patterns in sales and receivables, with recent quarters indicating a decline in both sales and receivables balances. The turnover ratio suggests stable but somewhat fluctuating credit collection efficiency while the decline in sales and receivables since late 2022 may warrant attention to market conditions or internal operational factors impacting revenue generation and cash collection.


Payables Turnover

Kellanova, payables turnover calculation (quarterly data)

Microsoft Excel
Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Oct 1, 2022 Jul 2, 2022 Apr 2, 2022 Dec 31, 2021 Oct 2, 2021 Jul 3, 2021 Apr 3, 2021 Dec 31, 2020 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
Selected Financial Data (US$ in millions)
Cost of goods sold 2,031 2,169 1,628 2,596 2,257 2,358 2,673 2,793 2,721 2,513 2,415 2,457 2,331 2,418 2,279 2,228 2,268 2,268 2,135 2,372 2,275 2,415
Accounts payable 2,267 2,209 2,314 2,789 2,810 2,900 2,973 2,871 2,866 2,705 2,573 2,526 2,491 2,476 2,471 2,449 2,393 2,329 2,387 2,338 2,401 2,370
Short-term Activity Ratio
Payables turnover1 3.72 3.92 3.82 3.54 3.59 3.64 3.60 3.64 3.53 3.59 3.74 3.75 3.72 3.71 3.66 3.63 3.78 3.89 3.85
Benchmarks
Payables Turnover, Competitors2
Mondelēz International Inc. 2.56 2.45 2.67 2.88 2.80 2.68 2.67 2.88 2.74 2.48 2.60 2.63 2.60 2.53 2.60
Philip Morris International Inc. 3.67 3.58 3.11 3.58 3.28 3.00 2.80 3.29 3.25 3.24 3.01 3.49 3.66 3.72 3.44

Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-K (reporting date: 2019-12-28), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Payables turnover = (Cost of goods soldQ2 2024 + Cost of goods soldQ1 2024 + Cost of goods soldQ4 2023 + Cost of goods soldQ3 2023) ÷ Accounts payable
= (2,031 + 2,169 + 1,628 + 2,596) ÷ 2,267 = 3.72

2 Click competitor name to see calculations.


The cost of goods sold (COGS) displays fluctuations over the analyzed periods. Initially, from March 2019 to December 2019, COGS decreases from 2415 million USD to 2135 million USD, indicating a downward trend. Thereafter, there is a moderate increase reaching a peak around October 2022 at 2793 million USD. Following this peak, a notable decline is observed, especially in the period ending March 2024 where COGS drops to 1628 million USD before slightly rising again.

Accounts payable demonstrates a generally increasing pattern from March 2019 through December 2022. The value grows from 2370 million USD to 2973 million USD, indicating a possible expansion in credit purchases or extended payment terms. After the peak, a downward trend occurs, with accounts payable decreasing to 2209 million USD by June 2024. This could reflect changes in purchasing strategy, payment policies, or improved working capital management during that period.

The payables turnover ratio, which measures how quickly the company pays its suppliers, shows modest variation but remains relatively stable. From the first available ratio of 3.85 in March 2020, a gradual decline occurs through mid-2022, reaching its lowest points between 3.53 and 3.54. Thereafter, a slight recovery is noted, with the ratio rising again to 3.92 around June 2024. This suggests the company experienced slower payment cycles in the mid-term, followed by a return to more rapid payments in later periods.

Cost of Goods Sold
Fluctuated with a downward trend in 2019, a mid-term increase peaking in late 2022, and a sharp decrease by early 2024.
Accounts Payable
Generally increased over the long term until the end of 2022, then declined significantly through mid-2024.
Payables Turnover Ratio
Remained relatively stable but showed a mild decline until mid-2022, followed by recovery to higher turnover rates by mid-2024.

Overall, these data points suggest an initial phase of cost control and supplier credit growth, followed by increased operational scale or cost pressures around 2022. The subsequent declines in both cost of goods sold and accounts payable, combined with improving turnover ratios, may indicate stronger liquidity management or shifts in procurement and payment practices during early 2024.


Working Capital Turnover

Kellanova, working capital turnover calculation (quarterly data)

Microsoft Excel
Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Oct 1, 2022 Jul 2, 2022 Apr 2, 2022 Dec 31, 2021 Oct 2, 2021 Jul 3, 2021 Apr 3, 2021 Dec 31, 2020 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
Selected Financial Data (US$ in millions)
Current assets 3,470 3,450 3,330 4,986 4,288 4,324 4,186 4,444 4,261 3,816 3,394 3,799 3,747 3,639 3,482 4,753 4,492 4,290 3,431 3,492 3,504 3,373
Less: Current liabilities 4,774 5,525 5,060 6,524 6,476 6,001 6,349 6,033 6,051 5,848 5,315 5,029 4,946 5,385 5,238 6,034 5,856 5,595 4,778 4,389 4,989 4,978
Working capital (1,304) (2,075) (1,730) (1,538) (2,188) (1,677) (2,163) (1,589) (1,790) (2,032) (1,921) (1,230) (1,199) (1,746) (1,756) (1,281) (1,364) (1,305) (1,347) (897) (1,485) (1,605)
 
Net sales 3,192 3,200 2,490 3,939 3,351 3,342 3,833 3,946 3,864 3,672 3,420 3,622 3,555 3,584 3,464 3,429 3,465 3,412 3,223 3,372 3,461 3,522
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Coca-Cola Co. 19.89 41.66 14.47 13.02 12.70 12.35 15.00 15.68 15.83 11.91 14.90 4.58 5.07 6.14 7.12
Mondelēz International Inc.
PepsiCo Inc.
Philip Morris International Inc. 10.52 10.81 15.29

Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-K (reporting date: 2019-12-28), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Working capital turnover = (Net salesQ2 2024 + Net salesQ1 2024 + Net salesQ4 2023 + Net salesQ3 2023) ÷ Working capital
= (3,192 + 3,200 + 2,490 + 3,939) ÷ -1,304 =

2 Click competitor name to see calculations.


The analysis of the quarterly financial data reveals several key trends in working capital and net sales over the observed periods.

Working Capital
Working capital values show considerable fluctuations across the quarters. Initially, negative working capital starts at -1,605 million US dollars in March 2019 and generally remains in the negative range throughout the entire timeline. Notable volatility occurs with some quarters reflecting sharp declines, such as December 2020 (-1,756 million) and December 2021 (-1,921 million). The lowest points are observed in December 2022 (-2,163 million) and July 2023 (-2,188 million), indicating increasing short-term liabilities compared to current assets in these periods. However, some rebounds are visible, such as in March 2024 (-2,075 million) moving towards a less negative figure by June 2024 (-1,304 million). Overall, the working capital trend demonstrates an ongoing challenge in maintaining positive short-term financial health.
Net Sales
Net sales display a more stable and generally upward trend when compared to working capital. Starting with 3,522 million US dollars in the first quarter of 2019, sales values fluctuate slightly but show a growth trajectory reaching peaks around the calendar year 2022 with values like 3,946 million (October 2022) and 3,864 million (July 2022). Afterward, a sharp decrease is observed in the first quarter of 2024 at 2,490 million, which could indicate market pressures or seasonal impacts followed by a slight recovery in subsequent quarters (3,192 million in June 2024). Despite the eventual drop in early 2024, the overall sales trend over the timeframe marks a growth compared to the early periods.
Working Capital Turnover
No data is available for working capital turnover ratios, which limits the ability to analyze the efficiency with which working capital is used to generate sales.

In summary, while net sales generally increase over the multi-year period with some volatility and a significant dip in early 2024, the working capital position remains negative and volatile with further deterioration in some recent quarters. This indicates potential liquidity challenges that could affect operational flexibility unless mitigated. The absence of working capital turnover data precludes detailed insights into operational efficiency in managing current assets and liabilities relative to sales.


Average Inventory Processing Period

Kellanova, average inventory processing period calculation (quarterly data)

Microsoft Excel
Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Oct 1, 2022 Jul 2, 2022 Apr 2, 2022 Dec 31, 2021 Oct 2, 2021 Jul 3, 2021 Apr 3, 2021 Dec 31, 2020 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
Selected Financial Data
Inventory turnover 7.11 7.15 7.11 6.06 5.91 5.86 6.05 6.21 6.02 6.23 6.88 6.88 6.78 6.97 7.04 7.05 7.35 7.61 7.50
Short-term Activity Ratio (no. days)
Average inventory processing period1 51 51 51 60 62 62 60 59 61 59 53 53 54 52 52 52 50 48 49
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Coca-Cola Co. 95 98 87 84 93 95 86 77 78 86 81 78 84 90 89
Mondelēz International Inc. 68 62 59 63 65 63 61 64 60 58 57 62 64 60 60
PepsiCo Inc. 51 48 46 48 52 51 47 47 50 46 43 45 54 51 48
Philip Morris International Inc. 260 279 305 278 291 330 316 237 259 306 317 305 330 349 366

Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-K (reporting date: 2019-12-28), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 7.11 = 51

2 Click competitor name to see calculations.


Inventory Turnover
The inventory turnover ratio, starting from a recorded value of 7.5 in March 2020, shows a gradual decline over the subsequent quarters, reaching a low point around 5.86 to 5.91 between the first and third quarters of 2023. Notably, there is a recovery observed in the last three reported quarters, with the ratio increasing to slightly above 7 by mid-2024. This pattern suggests a period of decreasing efficiency in inventory management followed by a notable improvement towards the end of the observed timeline.
Average Inventory Processing Period
The average number of days inventory remains before sale mirrors the inverse pattern of the inventory turnover ratio, indicating longer inventory holding periods as turnover declined. Beginning at approximately 49 days in early 2020, the processing period increased steadily, peaking around 62 days in mid-2023. Subsequently, there is a sharp decrease to 51 days in early 2024, remaining stable through mid-2024. This shift may indicate enhanced operational efficiency or improvements in inventory strategies during this period.
Overall Insights
The data reflects a direct inverse relationship between inventory turnover and average inventory processing period over the analyzed timeframe. The initial trend suggests a slowdown in inventory movement, possibly linked to operational or market challenges during the peak inventory processing period in 2022-2023. The recovery phase commencing late 2023 may indicate strategic adjustments resulting in more efficient inventory management and quicker stock turnover. Monitoring these metrics is essential to understand ongoing inventory management effectiveness and supply chain responsiveness.

Average Receivable Collection Period

Kellanova, average receivable collection period calculation (quarterly data)

Microsoft Excel
Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Oct 1, 2022 Jul 2, 2022 Apr 2, 2022 Dec 31, 2021 Oct 2, 2021 Jul 3, 2021 Apr 3, 2021 Dec 31, 2020 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
Selected Financial Data
Receivables turnover 7.75 7.79 8.37 7.71 7.50 8.23 8.82 7.51 7.74 8.46 9.52 8.47 8.46 8.40 8.96 8.32 7.96 7.70 8.62
Short-term Activity Ratio (no. days)
Average receivable collection period1 47 47 44 47 49 44 41 49 47 43 38 43 43 43 41 44 46 47 42
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Coca-Cola Co. 36 34 27 28 33 39 30 34 40 42 33 38 40 41 35
Mondelēz International Inc. 32 40 37 36 31 39 36 34 30 37 30 34 29 36 32
PepsiCo Inc. 47 43 43 47 46 43 43 47 47 43 40 45 48 45 44
Philip Morris International Inc. 42 43 36 41 45 41 44 44 44 42 36 40 43 41 37

Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-K (reporting date: 2019-12-28), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 7.75 = 47

2 Click competitor name to see calculations.


Receivables Turnover
The receivables turnover ratio indicates some variability over the analyzed quarters, fluctuating between a low of 7.5 and a high of 9.52. The ratio started at 8.62 in early 2020 and showed a general downward trend through mid-2022, reaching 7.51. Following this period, it rose again to 8.82 but continued to oscillate moderately in the subsequent quarters, settling near 7.75 by mid-2024. This pattern suggests intermittent changes in the company's effectiveness in collecting receivables.
Average Receivable Collection Period
This metric shows an inverse movement to the receivables turnover, with days outstanding ranging from 38 to 49 days over the reported periods. The collection period was around 42 days at the start of 2020, increased to as high as 49 days in late 2022, indicating some slowing in collection efficiency. Later, it decreased to 41 days and increased again, maintaining around the high 40s towards mid-2024. The fluctuations indicate periodic challenges in shortening the receivables cycle or maintaining steady collection performance.
Overall Analysis
The trends suggest that the company’s management of receivables experiences periodic fluctuations. Higher receivables turnover ratios typically correspond with shorter collection periods and vice versa, confirming expected relationships. However, the persistence of elevated days outstanding and the inability to sustain turnover improvements could reflect external factors affecting customer payment behavior or internal collection practices needing attention. Constant monitoring and perhaps enhanced credit or collection policies might be beneficial to improving cash flow consistency.

Operating Cycle

Kellanova, operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Oct 1, 2022 Jul 2, 2022 Apr 2, 2022 Dec 31, 2021 Oct 2, 2021 Jul 3, 2021 Apr 3, 2021 Dec 31, 2020 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
Selected Financial Data
Average inventory processing period 51 51 51 60 62 62 60 59 61 59 53 53 54 52 52 52 50 48 49
Average receivable collection period 47 47 44 47 49 44 41 49 47 43 38 43 43 43 41 44 46 47 42
Short-term Activity Ratio
Operating cycle1 98 98 95 107 111 106 101 108 108 102 91 96 97 95 93 96 96 95 91
Benchmarks
Operating Cycle, Competitors2
Coca-Cola Co. 131 132 114 112 126 134 116 111 118 128 114 116 124 131 124
Mondelēz International Inc. 100 102 96 99 96 102 97 98 90 95 87 96 93 96 92
PepsiCo Inc. 98 91 89 95 98 94 90 94 97 89 83 90 102 96 92
Philip Morris International Inc. 302 322 341 319 336 371 360 281 303 348 353 345 373 390 403

Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-K (reporting date: 2019-12-28), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 51 + 47 = 98

2 Click competitor name to see calculations.


The analysis of the data reveals the following patterns and trends:

Average Inventory Processing Period
The average inventory processing period shows a general upward trend from 49 days in March 2020 to a peak of 62 days by July and September 2023. This suggests a lengthening time to process inventory over the years, indicating potential slower inventory turnover or increased stock levels. Notably, the period stabilizes at 51 days in the first two quarters of 2024, implying some improvement or operational adjustments aimed at reducing processing duration.
Average Receivable Collection Period
The receivable collection period exhibits some fluctuations but remains within a range of approximately 38 to 49 days. Initially increasing from 42 days in March 2020 to 49 days by October 2022, it then alternates between slightly lower and higher values around the high 40s mark in subsequent quarters. The most recent periods in 2024 maintain around 47 days, reflecting relative stability in the time taken to collect receivables, though no significant improvement is evident.
Operating Cycle
The operating cycle demonstrates a gradual expansion from 91 days in March 2020 to a peak of 111 days in July 2023, indicating a longer duration to convert inventory and receivables into cash. This lengthening operating cycle suggests less efficient working capital management or external factors causing delays. However, a reduction to 95 days is observed in March 2024 before slightly rising to 98 days in June 2024, which may point to recent efforts to optimize the cycle and improve cash flow timing.

Average Payables Payment Period

Kellanova, average payables payment period calculation (quarterly data)

Microsoft Excel
Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Oct 1, 2022 Jul 2, 2022 Apr 2, 2022 Dec 31, 2021 Oct 2, 2021 Jul 3, 2021 Apr 3, 2021 Dec 31, 2020 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
Selected Financial Data
Payables turnover 3.72 3.92 3.82 3.54 3.59 3.64 3.60 3.64 3.53 3.59 3.74 3.75 3.72 3.71 3.66 3.63 3.78 3.89 3.85
Short-term Activity Ratio (no. days)
Average payables payment period1 98 93 96 103 102 100 101 100 104 102 98 97 98 98 100 100 97 94 95
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Mondelēz International Inc. 142 149 136 127 131 136 137 127 133 147 141 139 140 144 140
Philip Morris International Inc. 100 102 117 102 111 122 130 111 112 113 121 105 100 98 106

Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-K (reporting date: 2019-12-28), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 3.72 = 98

2 Click competitor name to see calculations.


The analysis of the payables turnover ratio over the reported periods reveals a relatively stable trend with minor fluctuations. Starting from a level near 3.85, the ratio experienced a mild decline over several quarters, reaching closer to 3.53 at its lowest point around mid-2022. Following this period, the turnover ratio exhibited a gradual increase, peaking around 3.92 before slightly retreating to approximately 3.72 by mid-2024. This pattern indicates consistent management of payables with occasional variations possibly linked to changing supplier payment practices or shifts in purchasing volume.

Examining the average payables payment period in days complements the interpretation of the turnover ratio. Initially at around 95 days in early 2020, the payment period extended slightly to a peak exceeding 104 days in mid-2022, suggesting longer duration for settling accounts payable during this interval. Subsequently, the payment period moderately contracted, reducing to approximately 93 days by mid-2024. The inverse relationship with the payables turnover ratio aligns with typical financial behavior: as the payment period lengthens, the turnover rate tends to decrease, and vice versa.

Payables Turnover
Remained mostly consistent with a slight dip through 2021 and early 2022, followed by recovery and stabilization near previous levels.
Average Payables Payment Period
Showed an increase in days payable outstanding during 2021 to mid-2022, implying longer payment terms or slower payments, then declined to reduce the payment cycle towards mid-2024.

Overall, the data suggest moderate adjustments in payment timing strategies over the observed period, potentially reflecting efforts to optimize working capital or respond to external market factors. The stability in ratios indicates controlled financial practices within accounts payable management.


Cash Conversion Cycle

Kellanova, cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Oct 1, 2022 Jul 2, 2022 Apr 2, 2022 Dec 31, 2021 Oct 2, 2021 Jul 3, 2021 Apr 3, 2021 Dec 31, 2020 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019
Selected Financial Data
Average inventory processing period 51 51 51 60 62 62 60 59 61 59 53 53 54 52 52 52 50 48 49
Average receivable collection period 47 47 44 47 49 44 41 49 47 43 38 43 43 43 41 44 46 47 42
Average payables payment period 98 93 96 103 102 100 101 100 104 102 98 97 98 98 100 100 97 94 95
Short-term Activity Ratio
Cash conversion cycle1 0 5 -1 4 9 6 0 8 4 0 -7 -1 -1 -3 -7 -4 -1 1 -4
Benchmarks
Cash Conversion Cycle, Competitors2
Mondelēz International Inc. -42 -47 -40 -28 -35 -34 -40 -29 -43 -52 -54 -43 -47 -48 -48
Philip Morris International Inc. 202 220 224 217 225 249 230 170 191 235 232 240 273 292 297

Based on: 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-02), 10-Q (reporting date: 2021-07-03), 10-Q (reporting date: 2021-04-03), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-K (reporting date: 2019-12-28), 10-Q (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30).

1 Q2 2024 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 51 + 4798 = 0

2 Click competitor name to see calculations.


The analysis of the quarterly financial data reveals several trends in inventory processing, receivable collection, payables payment periods, and the overall cash conversion cycle over the observed time span.

Average Inventory Processing Period
This metric generally remained stable during the early quarters, with a slight increase observed from 49 days in early 2020 to around 52–54 days through 2021. A notable upward shift starts in 2022, reaching peaks of 59 to 62 days. Towards the most recent quarters, this period shows a mild decrease back to approximately 51 days, indicating some improvement in inventory management efficiency after a phase of elongation.
Average Receivable Collection Period
The receivable collection period demonstrates fluctuation, though it tends to hover around the low to mid-40 day range. Initially rising from 42 days to peaks near 47–49 days in parts of 2020 and 2022, the period occasionally dips to as low as 38 days. No consistent trend emerges, but the data suggests variability in receivables management, with some quarters experiencing delays in collection.
Average Payables Payment Period
The payables payment period remains relatively long throughout the timeframe, averaging close to or above 90 days. The period increased slightly from 95 days in early 2020, peaking above 100 days several times, notably crossing 102 to 104 days during 2022. The latest quarters indicate a reduction back toward the mid-90 day range. This suggests that the company maintained extended payment terms with suppliers for most of the period analyzed, with some temporary extensions before recent slight normalization.
Cash Conversion Cycle
The cash conversion cycle fluctuates around zero and modest negative values in early 2020, indicating that the company was able to convert resources into cash with minimal delay. Subsequently, the cycle demonstrates some variability, with occasional positive values around 4 to 9 days, notably during parts of 2022 and 2023. The latest available data shows a reduction towards slightly negative or near zero figures. Overall, the cash conversion cycle reflects effective working capital management, with the company generally maintaining a short duration for cash tied in operations.

In summary, the company shows a tendency toward increased inventory holding periods and extended payables duration mid-term, offset partially by fluctuations in receivable collections. The cash conversion cycle remains generally favorable, indicating that despite some elongation in certain components, the firm manages to maintain operational liquidity effectively.