Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
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- Income Statement
- Analysis of Solvency Ratios
- DuPont Analysis: Disaggregation of ROE, ROA, and Net Profit Margin
- Net Profit Margin since 2005
- Return on Equity (ROE) since 2005
- Return on Assets (ROA) since 2005
- Current Ratio since 2005
- Total Asset Turnover since 2005
- Price to Earnings (P/E) since 2005
- Price to Book Value (P/BV) since 2005
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Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2022-08-27), 10-Q (reporting date: 2022-05-28), 10-K (reporting date: 2022-02-26), 10-Q (reporting date: 2021-11-27), 10-Q (reporting date: 2021-08-28), 10-Q (reporting date: 2021-05-29), 10-K (reporting date: 2021-02-27), 10-Q (reporting date: 2020-11-28), 10-Q (reporting date: 2020-08-29), 10-Q (reporting date: 2020-05-30), 10-K (reporting date: 2020-02-29), 10-Q (reporting date: 2019-11-30), 10-Q (reporting date: 2019-08-31), 10-Q (reporting date: 2019-06-01), 10-K (reporting date: 2019-03-02), 10-Q (reporting date: 2018-12-01), 10-Q (reporting date: 2018-09-01), 10-Q (reporting date: 2018-06-02), 10-K (reporting date: 2018-03-03), 10-Q (reporting date: 2017-11-25), 10-Q (reporting date: 2017-08-26), 10-Q (reporting date: 2017-05-27), 10-K (reporting date: 2017-02-25), 10-Q (reporting date: 2016-11-26), 10-Q (reporting date: 2016-08-27), 10-Q (reporting date: 2016-05-28).
The financial data reveals several trends related to operational efficiency as measured by turnover ratios and processing periods over the analyzed periods.
- Inventory Turnover
- The inventory turnover ratio starts at 2.63 and fluctuates moderately, reaching a peak of 4.14 in May 2021. After this peak, it decreases to values around 3.07 by August 2022. This pattern suggests a general improvement in inventory management efficiency up to mid-2021, followed by a slight reduction in turnover thereafter.
- Payables Turnover
- Payables turnover remains relatively stable with some variability, mostly ranging between approximately 5.3 and 8.07. Notably, a low of 5.3 is observed in Feb 2018, and a high of 8.07 in May 2020. The data indicates occasional shifts in the speed with which the company pays its suppliers, but overall the trend shows consistency in payables management.
- Working Capital Turnover
- This ratio shows significant volatility, starting at 6.87 and generally increasing over time with occasional dips. A striking spike occurs in May 2022 and August 2022, where values reach extremely high levels of 239.11 and 90.24, respectively. These outliers suggest abnormal working capital management or extraordinary changes in current assets or liabilities during these periods, requiring further investigation.
- Average Inventory Processing Period
- This metric, expressed in days, ranges between 88 and 151 days, with a general tendency to decrease from early in the period towards the later dates. The shortest inventory processing periods occur around Nov 2021 and Feb 2021, indicating improved efficiency in inventory turnover during these quarters.
- Average Payables Payment Period
- With values mostly fluctuating between 45 and 70 days, the data shows slight variations but no strong trend. The period extends to a high of 70 days in Dec 2018 and drops to a low of 45 days in May 2020, reflecting some variability in payment timing to suppliers.
Other key metrics such as receivables turnover, average receivable collection period, operating cycle, and cash conversion cycle are missing data and thus cannot be analyzed. Overall, the company shows mixed trends in efficiency ratios with improved inventory turnover up to 2021, stable payables turnover, but highly irregular working capital turnover in recent periods which may indicate operational or financial structural changes. The inventory processing period demonstrates a moderate improvement in inventory management efficiency over time.
Turnover Ratios
Average No. Days
Inventory Turnover
Aug 27, 2022 | May 28, 2022 | Feb 26, 2022 | Nov 27, 2021 | Aug 28, 2021 | May 29, 2021 | Feb 27, 2021 | Nov 28, 2020 | Aug 29, 2020 | May 30, 2020 | Feb 29, 2020 | Nov 30, 2019 | Aug 31, 2019 | Jun 1, 2019 | Mar 2, 2019 | Dec 1, 2018 | Sep 1, 2018 | Jun 2, 2018 | Mar 3, 2018 | Nov 25, 2017 | Aug 26, 2017 | May 27, 2017 | Feb 25, 2017 | Nov 26, 2016 | Aug 27, 2016 | May 28, 2016 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||||||||
Cost of sales | ||||||||||||||||||||||||||||||||||
Merchandise inventories | ||||||||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||||||||
Inventory turnover1 | ||||||||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||||||||
Inventory Turnover, Competitors2 | ||||||||||||||||||||||||||||||||||
Amazon.com Inc. | ||||||||||||||||||||||||||||||||||
Home Depot Inc. | ||||||||||||||||||||||||||||||||||
Lowe’s Cos. Inc. | ||||||||||||||||||||||||||||||||||
TJX Cos. Inc. |
Based on: 10-Q (reporting date: 2022-08-27), 10-Q (reporting date: 2022-05-28), 10-K (reporting date: 2022-02-26), 10-Q (reporting date: 2021-11-27), 10-Q (reporting date: 2021-08-28), 10-Q (reporting date: 2021-05-29), 10-K (reporting date: 2021-02-27), 10-Q (reporting date: 2020-11-28), 10-Q (reporting date: 2020-08-29), 10-Q (reporting date: 2020-05-30), 10-K (reporting date: 2020-02-29), 10-Q (reporting date: 2019-11-30), 10-Q (reporting date: 2019-08-31), 10-Q (reporting date: 2019-06-01), 10-K (reporting date: 2019-03-02), 10-Q (reporting date: 2018-12-01), 10-Q (reporting date: 2018-09-01), 10-Q (reporting date: 2018-06-02), 10-K (reporting date: 2018-03-03), 10-Q (reporting date: 2017-11-25), 10-Q (reporting date: 2017-08-26), 10-Q (reporting date: 2017-05-27), 10-K (reporting date: 2017-02-25), 10-Q (reporting date: 2016-11-26), 10-Q (reporting date: 2016-08-27), 10-Q (reporting date: 2016-05-28).
1 Q2 2023 Calculation
Inventory turnover
= (Cost of salesQ2 2023
+ Cost of salesQ1 2023
+ Cost of salesQ4 2022
+ Cost of salesQ3 2022)
÷ Merchandise inventories
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The cost of sales data reveals fluctuating trends across the analyzed quarters. Initially, values oscillate around the 1.7 to 2.3 billion US dollars range, with an observable increase during the first half of 2018. Subsequently, a downward trend is apparent, notably marked by a significant decline from early 2020 onward. This decline culminates around mid-2022, where the cost of sales reaches its lowest recorded points in the dataset, suggesting a contraction in sales volume or adjustments in procurement or production costs.
Merchandise inventories exhibit a downward trajectory over the period under review. Starting from levels exceeding 2.9 billion US dollars in mid-2016, inventory levels demonstrate a gradual reduction, descending below 2 billion US dollars by the end of the timeframe. Noteworthy is the persistent decrease throughout 2019 and 2020, implying efforts to optimize inventory holdings or a response to declining sales, followed by some fluctuation but no significant recovery by mid-2022.
The inventory turnover ratio presents data beginning from late 2016, revealing moderate variation within a range approximately between 2.4 and 4.1 times across the quarters. An uptrend is noticeable from early 2018 to late 2021, with peaks above 4.0, indicative of increasing efficiency in inventory management or faster inventory cycles. This improvement is disrupted after late 2021, where the ratio falls back closer to the 3.0 range, signaling a potential softening in inventory turnover pace during this more recent period.
Overall, the financial data suggests a period marked by declining cost of sales and inventory levels, accompanied by generally improving inventory turnover ratios until late 2021. These patterns may reflect strategic adaptations to market conditions, supply chain adjustments, or operational refinements aimed at enhancing inventory efficiency and aligning purchases with demand. The recent decline in turnover ratios and sustained lower inventory levels warrant ongoing monitoring to assess their implications on sales and operational performance.
- Cost of Sales
- Fluctuated notably with a peak around early 2018 followed by a pronounced decrease beginning in 2020, reaching historic lows by mid-2022.
- Merchandise Inventories
- Showed a consistent downward trend from over 2.9 billion USD in mid-2016 to under 2 billion USD in mid-2022, indicative of inventory reduction strategies or demand shifts.
- Inventory Turnover Ratio
- Displayed an overall increase from late 2016 to late 2021, moving toward more efficient inventory use, before declining moderately in the final periods analyzed.
Receivables Turnover
Aug 27, 2022 | May 28, 2022 | Feb 26, 2022 | Nov 27, 2021 | Aug 28, 2021 | May 29, 2021 | Feb 27, 2021 | Nov 28, 2020 | Aug 29, 2020 | May 30, 2020 | Feb 29, 2020 | Nov 30, 2019 | Aug 31, 2019 | Jun 1, 2019 | Mar 2, 2019 | Dec 1, 2018 | Sep 1, 2018 | Jun 2, 2018 | Mar 3, 2018 | Nov 25, 2017 | Aug 26, 2017 | May 27, 2017 | Feb 25, 2017 | Nov 26, 2016 | Aug 27, 2016 | May 28, 2016 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||||||||
Net sales | ||||||||||||||||||||||||||||||||||
Accounts receivable | ||||||||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||||||||
Receivables turnover1 | ||||||||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||||||||
Receivables Turnover, Competitors2 | ||||||||||||||||||||||||||||||||||
Home Depot Inc. | ||||||||||||||||||||||||||||||||||
TJX Cos. Inc. |
Based on: 10-Q (reporting date: 2022-08-27), 10-Q (reporting date: 2022-05-28), 10-K (reporting date: 2022-02-26), 10-Q (reporting date: 2021-11-27), 10-Q (reporting date: 2021-08-28), 10-Q (reporting date: 2021-05-29), 10-K (reporting date: 2021-02-27), 10-Q (reporting date: 2020-11-28), 10-Q (reporting date: 2020-08-29), 10-Q (reporting date: 2020-05-30), 10-K (reporting date: 2020-02-29), 10-Q (reporting date: 2019-11-30), 10-Q (reporting date: 2019-08-31), 10-Q (reporting date: 2019-06-01), 10-K (reporting date: 2019-03-02), 10-Q (reporting date: 2018-12-01), 10-Q (reporting date: 2018-09-01), 10-Q (reporting date: 2018-06-02), 10-K (reporting date: 2018-03-03), 10-Q (reporting date: 2017-11-25), 10-Q (reporting date: 2017-08-26), 10-Q (reporting date: 2017-05-27), 10-K (reporting date: 2017-02-25), 10-Q (reporting date: 2016-11-26), 10-Q (reporting date: 2016-08-27), 10-Q (reporting date: 2016-05-28).
1 Q2 2023 Calculation
Receivables turnover
= (Net salesQ2 2023
+ Net salesQ1 2023
+ Net salesQ4 2022
+ Net salesQ3 2022)
÷ Accounts receivable
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data reveals several noteworthy trends in the company's net sales over the observed quarters from May 2016 through August 2022. Net sales exhibit a cyclical pattern with pronounced peaks often coinciding with November and December quarters, suggesting a seasonal increase typically associated with year-end consumer spending.
From May 2016 to February 2018, net sales demonstrate steady growth, reaching a peak of approximately $3.7 billion in March 2018. However, sales tend to decline in the subsequent quarters following this peak. This seasonal fluctuation pattern repeats across multiple years.
Between May 2018 and February 2020, net sales are relatively stable, generally oscillating between $2.5 billion and $3.3 billion per quarter. Notable is the peak in December 2018 ($3.03 billion) and March 2019 ($3.31 billion), in line with the previously identified seasonal effect.
A significant disruption appears starting in May 2020, where net sales drop sharply to approximately $1.3 billion, likely reflecting the impact of the COVID-19 pandemic and associated economic challenges. Subsequent quarters show some recovery in sales volumes; however, these figures remain well below historical seasonal highs seen prior to 2020.
In the quarters spanning from August 2020 through August 2022, net sales are markedly lower compared to the pre-pandemic period. The figures consistently stay below $2.7 billion, with several periods showing sales closer to the $1.4 billion to $2.0 billion range, suggesting a period of ongoing business challenges or structural changes impacting revenue generation capabilities.
The absence of data for accounts receivable and receivables turnover prevents further analysis on liquidity and efficiency related to credit management. Overall, the sales trend indicates a company that experienced growth and strong seasonal revenue patterns prior to 2020 but has since been impacted by external adverse conditions leading to significantly reduced sales levels.
Payables Turnover
Aug 27, 2022 | May 28, 2022 | Feb 26, 2022 | Nov 27, 2021 | Aug 28, 2021 | May 29, 2021 | Feb 27, 2021 | Nov 28, 2020 | Aug 29, 2020 | May 30, 2020 | Feb 29, 2020 | Nov 30, 2019 | Aug 31, 2019 | Jun 1, 2019 | Mar 2, 2019 | Dec 1, 2018 | Sep 1, 2018 | Jun 2, 2018 | Mar 3, 2018 | Nov 25, 2017 | Aug 26, 2017 | May 27, 2017 | Feb 25, 2017 | Nov 26, 2016 | Aug 27, 2016 | May 28, 2016 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||||||||
Cost of sales | ||||||||||||||||||||||||||||||||||
Accounts payable | ||||||||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||||||||
Payables turnover1 | ||||||||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||||||||
Payables Turnover, Competitors2 | ||||||||||||||||||||||||||||||||||
Amazon.com Inc. | ||||||||||||||||||||||||||||||||||
Home Depot Inc. | ||||||||||||||||||||||||||||||||||
Lowe’s Cos. Inc. | ||||||||||||||||||||||||||||||||||
TJX Cos. Inc. |
Based on: 10-Q (reporting date: 2022-08-27), 10-Q (reporting date: 2022-05-28), 10-K (reporting date: 2022-02-26), 10-Q (reporting date: 2021-11-27), 10-Q (reporting date: 2021-08-28), 10-Q (reporting date: 2021-05-29), 10-K (reporting date: 2021-02-27), 10-Q (reporting date: 2020-11-28), 10-Q (reporting date: 2020-08-29), 10-Q (reporting date: 2020-05-30), 10-K (reporting date: 2020-02-29), 10-Q (reporting date: 2019-11-30), 10-Q (reporting date: 2019-08-31), 10-Q (reporting date: 2019-06-01), 10-K (reporting date: 2019-03-02), 10-Q (reporting date: 2018-12-01), 10-Q (reporting date: 2018-09-01), 10-Q (reporting date: 2018-06-02), 10-K (reporting date: 2018-03-03), 10-Q (reporting date: 2017-11-25), 10-Q (reporting date: 2017-08-26), 10-Q (reporting date: 2017-05-27), 10-K (reporting date: 2017-02-25), 10-Q (reporting date: 2016-11-26), 10-Q (reporting date: 2016-08-27), 10-Q (reporting date: 2016-05-28).
1 Q2 2023 Calculation
Payables turnover
= (Cost of salesQ2 2023
+ Cost of salesQ1 2023
+ Cost of salesQ4 2022
+ Cost of salesQ3 2022)
÷ Accounts payable
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data reveals notable fluctuations and trends over the observed periods for key items such as cost of sales, accounts payable, and payables turnover ratios.
- Cost of Sales
- The cost of sales figures demonstrate variability with a general pattern of rise and fall over the time span. Early periods show values clustering around 1.7 to 2.1 million US dollars (in thousands), with pronounced spikes in specific quarters such as February 2017 (about 2.19 million) and March 2018 (approximately 2.38 million). A downward trend is evident beginning around May 2020, where costs decrease substantially, reaching lows near 1.1 million or slightly above in later quarters (May and August 2022). This could reflect operational adjustments, inventory management changes, or shifts in sales volume.
- Accounts Payable
- Accounts payable amounts fluctuate within a narrower band relative to their nominal levels but show a declining tendency during the latter part of the dataset. Earlier periods feature payables mostly ranging from 1.1 to 1.6 million US dollars (in thousands), but after February 2020, values consistently trend downwards, reaching below 0.8 million by August 2022. This decline may suggest improved payment cycles, renegotiated supplier terms, or a contraction in purchasing activities.
- Payables Turnover Ratio
- The payables turnover ratio, available for some periods, ranges approximately between 5.2 and 8.1. Initial values around 6.5 to 6.6 suggest moderate velocity in accounts payable cycles. Noteworthy is the peak around May 2020 with a ratio of approximately 8.07, indicating faster payment or quicker turnover during that quarter. Subsequently, ratios stabilize mostly between 6.0 and 7.4, reflecting consistent payables management.
In summary, the data shows a general decline in both cost of sales and accounts payable figures starting in early 2020, accompanied by fluctuations in the payables turnover ratio that imply changes in operational efficiency or payment patterns. The overall trend may indicate strategic adjustments in procurement and cash management processes in response to evolving business conditions.
Working Capital Turnover
Aug 27, 2022 | May 28, 2022 | Feb 26, 2022 | Nov 27, 2021 | Aug 28, 2021 | May 29, 2021 | Feb 27, 2021 | Nov 28, 2020 | Aug 29, 2020 | May 30, 2020 | Feb 29, 2020 | Nov 30, 2019 | Aug 31, 2019 | Jun 1, 2019 | Mar 2, 2019 | Dec 1, 2018 | Sep 1, 2018 | Jun 2, 2018 | Mar 3, 2018 | Nov 25, 2017 | Aug 26, 2017 | May 27, 2017 | Feb 25, 2017 | Nov 26, 2016 | Aug 27, 2016 | May 28, 2016 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||||||||
Current assets | ||||||||||||||||||||||||||||||||||
Less: Current liabilities | ||||||||||||||||||||||||||||||||||
Working capital | ||||||||||||||||||||||||||||||||||
Net sales | ||||||||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||||||||
Working capital turnover1 | ||||||||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||||||||
Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||||||||||
Amazon.com Inc. | ||||||||||||||||||||||||||||||||||
Home Depot Inc. | ||||||||||||||||||||||||||||||||||
Lowe’s Cos. Inc. | ||||||||||||||||||||||||||||||||||
TJX Cos. Inc. |
Based on: 10-Q (reporting date: 2022-08-27), 10-Q (reporting date: 2022-05-28), 10-K (reporting date: 2022-02-26), 10-Q (reporting date: 2021-11-27), 10-Q (reporting date: 2021-08-28), 10-Q (reporting date: 2021-05-29), 10-K (reporting date: 2021-02-27), 10-Q (reporting date: 2020-11-28), 10-Q (reporting date: 2020-08-29), 10-Q (reporting date: 2020-05-30), 10-K (reporting date: 2020-02-29), 10-Q (reporting date: 2019-11-30), 10-Q (reporting date: 2019-08-31), 10-Q (reporting date: 2019-06-01), 10-K (reporting date: 2019-03-02), 10-Q (reporting date: 2018-12-01), 10-Q (reporting date: 2018-09-01), 10-Q (reporting date: 2018-06-02), 10-K (reporting date: 2018-03-03), 10-Q (reporting date: 2017-11-25), 10-Q (reporting date: 2017-08-26), 10-Q (reporting date: 2017-05-27), 10-K (reporting date: 2017-02-25), 10-Q (reporting date: 2016-11-26), 10-Q (reporting date: 2016-08-27), 10-Q (reporting date: 2016-05-28).
1 Q2 2023 Calculation
Working capital turnover
= (Net salesQ2 2023
+ Net salesQ1 2023
+ Net salesQ4 2022
+ Net salesQ3 2022)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data presents an overview of working capital, net sales, and working capital turnover ratios over multiple quarterly periods.
- Working Capital
- Working capital values exhibit a generally declining trend from May 2016 through August 2022. Starting at approximately 1.92 billion US dollars in May 2016, working capital levels decrease progressively with some fluctuations, dropping to about 75.7 thousand US dollars by August 2022. The most significant decline appears after early 2021, with working capital reducing drastically from over 1.15 billion in May 2021 to below 100 thousand by mid-2022.
- Net Sales
- Net sales show a fluctuating pattern throughout the periods. Initially, sales hover near 2.7 to 3.7 billion US dollars per quarter, peaking in the March 2018 quarter at approximately 3.7 billion. Sales fluctuate afterward but generally remain within a range of approximately 1.4 billion to 3.3 billion. Notably, there is a pronounced dip to about 1.3 billion in May 2020, possibly reflecting external market factors. Post dip, sales demonstrate variability but do not recover to the previous peak levels, moving sideways in the 1.4 to 2.6 billion range towards 2022.
- Working Capital Turnover
- The working capital turnover ratio is available from February 2017 onwards and shows considerable variation. Initial values range between 6.56 and 10.27 times, with a peak of 11.58 times in November 2021. However, a sharp and extraordinary increase occurs from late 2021 to 2022, with turnover ratios escalating to 27.28, then surging to 239.11 and 90.24 times in subsequent quarters. These extreme increases likely result from the dramatic decline in working capital, inflating the turnover ratio, rather than a corresponding increase in sales.
In summary, the data indicates a steady reduction in working capital coinciding with fluctuating but mostly stable net sales at a lower level in recent periods. The pronounced increase in working capital turnover ratios towards the end of the timeline reflects an atypical financial condition, primarily driven by the collapse in working capital values rather than improved operational efficiency.
Average Inventory Processing Period
Aug 27, 2022 | May 28, 2022 | Feb 26, 2022 | Nov 27, 2021 | Aug 28, 2021 | May 29, 2021 | Feb 27, 2021 | Nov 28, 2020 | Aug 29, 2020 | May 30, 2020 | Feb 29, 2020 | Nov 30, 2019 | Aug 31, 2019 | Jun 1, 2019 | Mar 2, 2019 | Dec 1, 2018 | Sep 1, 2018 | Jun 2, 2018 | Mar 3, 2018 | Nov 25, 2017 | Aug 26, 2017 | May 27, 2017 | Feb 25, 2017 | Nov 26, 2016 | Aug 27, 2016 | May 28, 2016 | |||||||||
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Selected Financial Data | ||||||||||||||||||||||||||||||||||
Inventory turnover | ||||||||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||||||
Average inventory processing period1 | ||||||||||||||||||||||||||||||||||
Benchmarks (no. days) | ||||||||||||||||||||||||||||||||||
Average Inventory Processing Period, Competitors2 | ||||||||||||||||||||||||||||||||||
Amazon.com Inc. | ||||||||||||||||||||||||||||||||||
Home Depot Inc. | ||||||||||||||||||||||||||||||||||
Lowe’s Cos. Inc. | ||||||||||||||||||||||||||||||||||
TJX Cos. Inc. |
Based on: 10-Q (reporting date: 2022-08-27), 10-Q (reporting date: 2022-05-28), 10-K (reporting date: 2022-02-26), 10-Q (reporting date: 2021-11-27), 10-Q (reporting date: 2021-08-28), 10-Q (reporting date: 2021-05-29), 10-K (reporting date: 2021-02-27), 10-Q (reporting date: 2020-11-28), 10-Q (reporting date: 2020-08-29), 10-Q (reporting date: 2020-05-30), 10-K (reporting date: 2020-02-29), 10-Q (reporting date: 2019-11-30), 10-Q (reporting date: 2019-08-31), 10-Q (reporting date: 2019-06-01), 10-K (reporting date: 2019-03-02), 10-Q (reporting date: 2018-12-01), 10-Q (reporting date: 2018-09-01), 10-Q (reporting date: 2018-06-02), 10-K (reporting date: 2018-03-03), 10-Q (reporting date: 2017-11-25), 10-Q (reporting date: 2017-08-26), 10-Q (reporting date: 2017-05-27), 10-K (reporting date: 2017-02-25), 10-Q (reporting date: 2016-11-26), 10-Q (reporting date: 2016-08-27), 10-Q (reporting date: 2016-05-28).
1 Q2 2023 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The inventory turnover ratio and average inventory processing period exhibit notable fluctuations over the analyzed periods, reflecting changes in operational efficiency and inventory management.
- Inventory turnover ratio
- The inventory turnover ratio began reporting from February 2017, with an initial value around 2.63. Over the subsequent periods, this ratio generally trended upwards, peaking near 4.14 in May 2021, which indicates an improvement in how quickly inventory is sold and replenished. However, following this peak, the ratio declined gradually, falling to approximately 2.94 to 3.12 towards mid-2022. This suggests some deceleration in inventory turnover pace after May 2021.
- Average inventory processing period
- This metric inversely correlates with the turnover ratio and measures the average duration inventory remains before sale. Starting from February 2017, the average processing period hovered around 139 to 151 days in the earlier quarters, showing relatively slower inventory movement. It declined steadily, reaching lows near 88 to 94 days by late 2021, reflecting a more efficient inventory cycle. Post this period of efficiency, the processing period extended once again to around 119 to 124 days by mid-2022, indicating a slowdown in inventory turnover aligning with the observed decline in turnover ratio.
Overall, the data indicates an improvement in inventory management efficiency through 2017 to 2021, with faster turnover and reduced inventory holding periods. However, from mid-2021 onwards, the trends suggest a reversal, as turnover slowed and inventory remained longer before sale, which could imply operational challenges or shifts in demand during that timeframe.
Average Receivable Collection Period
Aug 27, 2022 | May 28, 2022 | Feb 26, 2022 | Nov 27, 2021 | Aug 28, 2021 | May 29, 2021 | Feb 27, 2021 | Nov 28, 2020 | Aug 29, 2020 | May 30, 2020 | Feb 29, 2020 | Nov 30, 2019 | Aug 31, 2019 | Jun 1, 2019 | Mar 2, 2019 | Dec 1, 2018 | Sep 1, 2018 | Jun 2, 2018 | Mar 3, 2018 | Nov 25, 2017 | Aug 26, 2017 | May 27, 2017 | Feb 25, 2017 | Nov 26, 2016 | Aug 27, 2016 | May 28, 2016 | |||||||||
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Selected Financial Data | ||||||||||||||||||||||||||||||||||
Receivables turnover | ||||||||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||||||
Average receivable collection period1 | ||||||||||||||||||||||||||||||||||
Benchmarks (no. days) | ||||||||||||||||||||||||||||||||||
Average Receivable Collection Period, Competitors2 | ||||||||||||||||||||||||||||||||||
Home Depot Inc. | ||||||||||||||||||||||||||||||||||
TJX Cos. Inc. |
Based on: 10-Q (reporting date: 2022-08-27), 10-Q (reporting date: 2022-05-28), 10-K (reporting date: 2022-02-26), 10-Q (reporting date: 2021-11-27), 10-Q (reporting date: 2021-08-28), 10-Q (reporting date: 2021-05-29), 10-K (reporting date: 2021-02-27), 10-Q (reporting date: 2020-11-28), 10-Q (reporting date: 2020-08-29), 10-Q (reporting date: 2020-05-30), 10-K (reporting date: 2020-02-29), 10-Q (reporting date: 2019-11-30), 10-Q (reporting date: 2019-08-31), 10-Q (reporting date: 2019-06-01), 10-K (reporting date: 2019-03-02), 10-Q (reporting date: 2018-12-01), 10-Q (reporting date: 2018-09-01), 10-Q (reporting date: 2018-06-02), 10-K (reporting date: 2018-03-03), 10-Q (reporting date: 2017-11-25), 10-Q (reporting date: 2017-08-26), 10-Q (reporting date: 2017-05-27), 10-K (reporting date: 2017-02-25), 10-Q (reporting date: 2016-11-26), 10-Q (reporting date: 2016-08-27), 10-Q (reporting date: 2016-05-28).
1 Q2 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The available financial data for the company over the indicated periods lacks specific numeric values for the key metrics labeled "Receivables turnover" and "Average receivable collection period." Both these ratios are critical for assessing the company's efficiency in managing receivables and cash flow timing, but the absence of actual data points prevents any quantitative trend analysis or identification of patterns.
Due to missing data across all reported quarters, it is not possible to determine whether the company's receivables turnover has improved, declined, or remained stable over time. Similarly, without figures for the average receivable collection period, no conclusions can be drawn about changes in the average duration it takes the company to collect its receivables from customers.
In summary, the lack of data precludes any meaningful analysis or insights into the company's receivables management performance based on the provided information.
Operating Cycle
Aug 27, 2022 | May 28, 2022 | Feb 26, 2022 | Nov 27, 2021 | Aug 28, 2021 | May 29, 2021 | Feb 27, 2021 | Nov 28, 2020 | Aug 29, 2020 | May 30, 2020 | Feb 29, 2020 | Nov 30, 2019 | Aug 31, 2019 | Jun 1, 2019 | Mar 2, 2019 | Dec 1, 2018 | Sep 1, 2018 | Jun 2, 2018 | Mar 3, 2018 | Nov 25, 2017 | Aug 26, 2017 | May 27, 2017 | Feb 25, 2017 | Nov 26, 2016 | Aug 27, 2016 | May 28, 2016 | |||||||||
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Selected Financial Data | ||||||||||||||||||||||||||||||||||
Average inventory processing period | ||||||||||||||||||||||||||||||||||
Average receivable collection period | ||||||||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||||||||
Operating cycle1 | ||||||||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||||||||
Operating Cycle, Competitors2 | ||||||||||||||||||||||||||||||||||
Home Depot Inc. | ||||||||||||||||||||||||||||||||||
TJX Cos. Inc. |
Based on: 10-Q (reporting date: 2022-08-27), 10-Q (reporting date: 2022-05-28), 10-K (reporting date: 2022-02-26), 10-Q (reporting date: 2021-11-27), 10-Q (reporting date: 2021-08-28), 10-Q (reporting date: 2021-05-29), 10-K (reporting date: 2021-02-27), 10-Q (reporting date: 2020-11-28), 10-Q (reporting date: 2020-08-29), 10-Q (reporting date: 2020-05-30), 10-K (reporting date: 2020-02-29), 10-Q (reporting date: 2019-11-30), 10-Q (reporting date: 2019-08-31), 10-Q (reporting date: 2019-06-01), 10-K (reporting date: 2019-03-02), 10-Q (reporting date: 2018-12-01), 10-Q (reporting date: 2018-09-01), 10-Q (reporting date: 2018-06-02), 10-K (reporting date: 2018-03-03), 10-Q (reporting date: 2017-11-25), 10-Q (reporting date: 2017-08-26), 10-Q (reporting date: 2017-05-27), 10-K (reporting date: 2017-02-25), 10-Q (reporting date: 2016-11-26), 10-Q (reporting date: 2016-08-27), 10-Q (reporting date: 2016-05-28).
1 Q2 2023 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
The analysis of available quarterly financial data reveals a focus on the average inventory processing period, as other key metrics such as average receivable collection period and operating cycle contain no data points for the periods under review.
- Average Inventory Processing Period
- The average inventory processing period shows variability over the analyzed quarters, beginning from a higher threshold in the 2016-2017 period and demonstrating some degree of fluctuation through 2022. Initial available data starts in the quarter ending May 27, 2017, with a figure of 139 days, which slightly increased to 141 days in the subsequent quarter, then trended downward to 137 days and later rose to 151 days by the quarter ending March 3, 2018. This indicates some challenges or strategic changes in inventory management practices during this period.
- From mid-2018 onwards, a general declining trend is observed, reaching as low as 88 days in August 2021, suggesting an improvement in inventory turnover efficiency. Such a decrease implies the company was potentially able to reduce inventory holding times, thus possibly lowering costs related to inventory and enhancing cash flow.
- Nevertheless, following this period of improvement, a reversal is evident as the metric climbs back up to 124 days by August 2022. This upward movement may indicate renewed inefficiencies or changes in inventory strategy, possibly driven by external factors such as supply chain disruptions or shifts in demand.
- Overall, the data reflect an initial period of elevated inventory processing duration, followed by a significant reduction, and a moderate increase towards the end of the series. This oscillation suggests adaptive inventory management responding to operational or market conditions over the examined timeframe.
Average Payables Payment Period
Aug 27, 2022 | May 28, 2022 | Feb 26, 2022 | Nov 27, 2021 | Aug 28, 2021 | May 29, 2021 | Feb 27, 2021 | Nov 28, 2020 | Aug 29, 2020 | May 30, 2020 | Feb 29, 2020 | Nov 30, 2019 | Aug 31, 2019 | Jun 1, 2019 | Mar 2, 2019 | Dec 1, 2018 | Sep 1, 2018 | Jun 2, 2018 | Mar 3, 2018 | Nov 25, 2017 | Aug 26, 2017 | May 27, 2017 | Feb 25, 2017 | Nov 26, 2016 | Aug 27, 2016 | May 28, 2016 | |||||||||
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Selected Financial Data | ||||||||||||||||||||||||||||||||||
Payables turnover | ||||||||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||||||
Average payables payment period1 | ||||||||||||||||||||||||||||||||||
Benchmarks (no. days) | ||||||||||||||||||||||||||||||||||
Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||||||||||||
Amazon.com Inc. | ||||||||||||||||||||||||||||||||||
Home Depot Inc. | ||||||||||||||||||||||||||||||||||
Lowe’s Cos. Inc. | ||||||||||||||||||||||||||||||||||
TJX Cos. Inc. |
Based on: 10-Q (reporting date: 2022-08-27), 10-Q (reporting date: 2022-05-28), 10-K (reporting date: 2022-02-26), 10-Q (reporting date: 2021-11-27), 10-Q (reporting date: 2021-08-28), 10-Q (reporting date: 2021-05-29), 10-K (reporting date: 2021-02-27), 10-Q (reporting date: 2020-11-28), 10-Q (reporting date: 2020-08-29), 10-Q (reporting date: 2020-05-30), 10-K (reporting date: 2020-02-29), 10-Q (reporting date: 2019-11-30), 10-Q (reporting date: 2019-08-31), 10-Q (reporting date: 2019-06-01), 10-K (reporting date: 2019-03-02), 10-Q (reporting date: 2018-12-01), 10-Q (reporting date: 2018-09-01), 10-Q (reporting date: 2018-06-02), 10-K (reporting date: 2018-03-03), 10-Q (reporting date: 2017-11-25), 10-Q (reporting date: 2017-08-26), 10-Q (reporting date: 2017-05-27), 10-K (reporting date: 2017-02-25), 10-Q (reporting date: 2016-11-26), 10-Q (reporting date: 2016-08-27), 10-Q (reporting date: 2016-05-28).
1 Q2 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of the payables turnover ratio reveals a fluctuating trend over the observed periods. Starting from a ratio of 6.48, it exhibits minor increases and decreases, reaching peaks such as 8.07, followed by declines to values around 6.2 to 6.3. These fluctuations suggest variations in the company's efficiency in settling its payables. The highest turnover ratio implies a faster rate of payment to suppliers during those specific intervals, while the lower ratios indicate a relatively slower payment cycle.
Examining the average payables payment period, measured in number of days, there is a noticeable variability over time, reflecting changes in the company's payment practices. The period ranges from a high of 70 days to lows near 45 days. Periods of extended payment duration coincide with lower payables turnover ratios, indicating slower settlement of payables, whereas shorter payment periods align with increased turnover ratios. The data points to occasional strategic adjustments in payment timing, potentially to manage cash flow or supplier relations.
- Payables Turnover Ratio Trends
- Shows variation with values fluctuating between approximately 5.3 and 8.07, without a consistent upward or downward trajectory.
- Peaks in turnover suggest intervals of quicker payments to creditors, possibly reflecting improved liquidity or stricter credit management.
- Dips indicate slower payment cycles, which may be due to cash conservation efforts or renegotiated payment terms.
- Average Payables Payment Period Trends
- Oscillates between 45 and 70 days, demonstrating changing payment durations across quarters.
- Increases in payment days correspond with reductions in turnover ratio, implying delayed payments affecting the turnover metric.
- Decreases in payment days align with elevated turnover ratios, indicating accelerated settling of liabilities.
- Relationship Between Metrics
- The inverse correlation between payables turnover and average payment period is evident, as expected from their definitions.
- Such dynamics may reflect internal cash management strategies, supplier negotiations, or shifts in operational liquidity over time.
Cash Conversion Cycle
Aug 27, 2022 | May 28, 2022 | Feb 26, 2022 | Nov 27, 2021 | Aug 28, 2021 | May 29, 2021 | Feb 27, 2021 | Nov 28, 2020 | Aug 29, 2020 | May 30, 2020 | Feb 29, 2020 | Nov 30, 2019 | Aug 31, 2019 | Jun 1, 2019 | Mar 2, 2019 | Dec 1, 2018 | Sep 1, 2018 | Jun 2, 2018 | Mar 3, 2018 | Nov 25, 2017 | Aug 26, 2017 | May 27, 2017 | Feb 25, 2017 | Nov 26, 2016 | Aug 27, 2016 | May 28, 2016 | |||||||||
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Selected Financial Data | ||||||||||||||||||||||||||||||||||
Average inventory processing period | ||||||||||||||||||||||||||||||||||
Average receivable collection period | ||||||||||||||||||||||||||||||||||
Average payables payment period | ||||||||||||||||||||||||||||||||||
Short-term Activity Ratio | ||||||||||||||||||||||||||||||||||
Cash conversion cycle1 | ||||||||||||||||||||||||||||||||||
Benchmarks | ||||||||||||||||||||||||||||||||||
Cash Conversion Cycle, Competitors2 | ||||||||||||||||||||||||||||||||||
Home Depot Inc. | ||||||||||||||||||||||||||||||||||
TJX Cos. Inc. |
Based on: 10-Q (reporting date: 2022-08-27), 10-Q (reporting date: 2022-05-28), 10-K (reporting date: 2022-02-26), 10-Q (reporting date: 2021-11-27), 10-Q (reporting date: 2021-08-28), 10-Q (reporting date: 2021-05-29), 10-K (reporting date: 2021-02-27), 10-Q (reporting date: 2020-11-28), 10-Q (reporting date: 2020-08-29), 10-Q (reporting date: 2020-05-30), 10-K (reporting date: 2020-02-29), 10-Q (reporting date: 2019-11-30), 10-Q (reporting date: 2019-08-31), 10-Q (reporting date: 2019-06-01), 10-K (reporting date: 2019-03-02), 10-Q (reporting date: 2018-12-01), 10-Q (reporting date: 2018-09-01), 10-Q (reporting date: 2018-06-02), 10-K (reporting date: 2018-03-03), 10-Q (reporting date: 2017-11-25), 10-Q (reporting date: 2017-08-26), 10-Q (reporting date: 2017-05-27), 10-K (reporting date: 2017-02-25), 10-Q (reporting date: 2016-11-26), 10-Q (reporting date: 2016-08-27), 10-Q (reporting date: 2016-05-28).
1 Q2 2023 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + – =
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals distinct trends in the inventory management and payment processes over the observed periods.
- Average Inventory Processing Period
- The average inventory processing period exhibited fluctuations across the available data points. It started at a higher level around 139-151 days during the period from early 2017 to early 2018. Subsequently, there was a noticeable decline reaching a low of approximately 88 days in mid-2021, indicating improved inventory turnover efficiency. However, towards the later periods, specifically from late 2021 through 2022, the period increased again to around 117-124 days, suggesting a slowdown in inventory processing efficiency.
- Average Receivable Collection Period
- No data points were reported for the average receivable collection period throughout the entire dataset, limiting the ability to analyze trends or assess the company’s efficiency in collecting receivables.
- Average Payables Payment Period
- The average payables payment period exhibited relative stability with moderate variation. Initial values hovered around the mid-50-day range with some periods showing increases to around 69-70 days in early 2017 and early 2018. Thereafter, the payment period mostly ranged between 45 and 59 days. Peaks were observed sporadically but were generally contained within this range, indicating a consistent approach to managing payables over time with occasional extensions possibly reflecting business strategy or cash flow considerations.
- Cash Conversion Cycle
- No figures were reported for the cash conversion cycle, preventing evaluation of the overall efficiency in converting investments in inventory and other resources into cash flows from sales.
Overall, the data suggests that the company made progress in reducing inventory processing time up to mid-2021, though a reversal of this trend occurred afterwards. Payables management remained relatively steady, with occasional variability but no dramatic shifts. The absence of data on receivables and cash conversion cycle limits a full assessment of working capital efficiency.