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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- Balance Sheet: Assets
- Balance Sheet: Liabilities and Stockholders’ Equity
- Common-Size Balance Sheet: Liabilities and Stockholders’ Equity
- Analysis of Profitability Ratios
- Analysis of Liquidity Ratios
- Enterprise Value to EBITDA (EV/EBITDA)
- Price to FCFE (P/FCFE)
- Present Value of Free Cash Flow to Equity (FCFE)
- Return on Assets (ROA) since 2005
- Aggregate Accruals
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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).
The analysis of the quarterly financial ratios reveals notable trends in inventory management, payables management, and working capital efficiency over the observed periods.
- Inventory Turnover
- The inventory turnover ratio fluctuated moderately throughout the periods, ranging from a low of 2.41 to a high of 4.14. Early on, the ratio varied around 2.5 to 3.0, followed by a gradual increase peaking at 4.14 in one of the later quarters. This suggests an improvement in inventory management efficiency, with the company generally turning over inventory more frequently over time, enhancing operational responsiveness.
- Payables Turnover
- The payables turnover ratio exhibited variability but remained mostly between 5.2 and 8.1. Periods of higher turnover (above 7) indicate faster payments to suppliers, whereas lower values indicate slower payments. The data reveals cyclical patterns of both acceleration and deceleration in payment timings, with no clear long-term trend but maintaining a generally stable payment cycle.
- Working Capital Turnover
- This ratio showed significant volatility, especially in recent periods, where it surged dramatically from values in the single digits to extraordinary figures such as 239.11 and 90.24. Such spikes could reflect substantial changes in working capital components or unusual fluctuations in sales. Prior to these spikes, the ratio gradually increased with intermittent declines, suggesting efforts to leverage working capital for revenue generation, although the recent extreme values indicate unstable operational conditions or possible data anomalies.
- Average Inventory Processing Period
- The average inventory processing period generally decreased over time, moving from around 140 days in early periods to as low as 88 days and then slightly fluctuating around 115-124 days later. This trend indicates an improvement in the speed of inventory turnover, although some periods show temporary reversals, reflecting variability in inventory flow efficiency.
- Average Payables Payment Period
- The average payables payment period stayed relatively stable, oscillating mostly between 45 and 70 days. The fluctuations indicate some variability in cash outflows toward suppliers but no clear long-term acceleration or delay trend. The company maintained a relatively consistent payables cycle without significant deviations.
- Receivables Turnover, Average Receivable Collection Period, Operating Cycle, and Cash Conversion Cycle
- The data for receivables turnover, average receivable collection period, operating cycle, and cash conversion cycle were not available, precluding any analysis or insight into receivables management and overall cash flow cycle efficiency.
In summary, the company demonstrated improved inventory management through higher turnover and shorter processing periods, while maintaining consistent payables payment practices. The notable fluctuations and extreme values in working capital turnover warrant further investigation to identify underlying operational or accounting causes. Absence of receivables-related metrics limits the ability to assess comprehensive cash flow cycle performance.
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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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).
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 financial data reveals notable trends in cost of sales, merchandise inventories, and inventory turnover over the observed periods. An analysis of these metrics provides insights into operational efficiency and inventory management dynamics.
- Cost of Sales
-
The cost of sales demonstrates considerable fluctuation across the quarters. Initial periods show values close to or exceeding $1.7 billion, peaking at over $2.3 billion in early 2018. Subsequently, there is a declining trend through mid-2019, followed by considerable variability. A significant drop is observed during early 2020, possibly reflecting operational disruptions or changes in sales volumes. Post this decline, the cost of sales exhibits a moderate recovery but remains generally lower than peak historical levels, indicating potential shifts in sales volume or cost management strategies.
- Merchandise Inventories
-
Merchandise inventories present a downward trend over the long term. Starting near $3 billion in early periods, inventory levels fluctuate moderately before a consistent decline becomes apparent from mid-2019 onward. Despite some intermittent increases, the overall movement denotes inventory reductions, reaching close to $1.5 billion in the latest periods. This pattern suggests intensified efforts in inventory management, possibly aiming to optimize stock levels or reduce holding costs amidst evolving market conditions.
- Inventory Turnover
-
Inventory turnover ratios show variability but overall point toward improved inventory efficiency. The ratio starts near 2.6 in early periods, fluctuating slightly before ascending to levels around 3.5 to over 4.0 between 2020 and 2021. This improvement signals faster inventory movement relative to cost of sales. However, the ratio experiences some decline in the most recent quarters, indicating a potential moderation in inventory velocity but remaining generally above earlier historical levels. The enhanced turnover suggests better alignment between inventory holdings and sales activity.
In summary, the data reflects cost of sales volatility with an overall downward trend from peak values, coupled with a consistent reduction in merchandise inventories. The increasing inventory turnover ratio during key periods points to improved operational efficiency, although recent minor declines warrant monitoring. These developments may indicate strategic adjustments in inventory management and cost control efforts in response to shifting business conditions.
Receivables Turnover
| Aug 27, 2022 | May 28, 2022 | Feb 26, 2022 | Nov 27, 2021 | Aug 28, 2021 | May 29, 2021 | Feb 27, 2021 | Nov 28, 2020 | Aug 29, 2020 | May 30, 2020 | Feb 29, 2020 | Nov 30, 2019 | Aug 31, 2019 | Jun 1, 2019 | Mar 2, 2019 | Dec 1, 2018 | Sep 1, 2018 | Jun 2, 2018 | Mar 3, 2018 | Nov 25, 2017 | Aug 26, 2017 | May 27, 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ 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).
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.
- Net Sales Analysis
- The net sales exhibited notable fluctuations over the observed quarters. Initially, there was a gradual increase from around 2.74 billion US dollars in May 2017 to a peak exceeding 3.7 billion in March 2018. This peak was followed by a decline, with sales figures falling to approximately 2.57 billion by June 2019.
- Subsequently, net sales experienced moderate recovery phases, with occasional spikes, such as the rise to about 3.1 billion in February 2020. However, a significant and abrupt decline occurred in May 2020, where net sales dropped sharply to roughly 1.3 billion, likely influenced by external factors impacting business operations.
- After this sharp drop, net sales partially recovered and stabilized between roughly 1.9 billion and 2.6 billion through early 2021. Past August 2021, the sales figures showed another downward trend, falling below 1.5 billion by August 2022, indicating ongoing challenges in maintaining previous sales volumes.
- Overall, the data suggests a volatile sales environment with initial growth curtailed by significant contractions starting in early 2020, followed by partial but inconsistent recovery.
- Accounts Receivable and Receivables Turnover
- There is no available data for accounts receivable or receivables turnover throughout the periods examined. Thus, analysis related to credit management, collection efficiency, or changes in receivable balances cannot be conducted.
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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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).
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 several notable trends in cost of sales, accounts payable, and payables turnover over the observed periods.
- Cost of Sales
- The cost of sales figures exhibit considerable fluctuation across the time span. Initial periods show values generally ranging between approximately 1.7 billion and 2.3 billion US dollars. There is a distinctive peak observed around March 2018, where the cost of sales reaches its highest at over 2.3 billion. Subsequently, the cost of sales decreases during the middle of the timeline, particularly from mid-2019 through 2020, with some quarterly values falling below 1 billion US dollars. Towards the later periods, the cost of sales stabilizes but remains lower than earlier peaks, fluctuating around the 1.1 to 1.5 billion range. This pattern may indicate seasonal variations, inventory adjustments, or shifts in sales volume or pricing strategies.
- Accounts Payable
- Accounts payable shows a gradual declining trend across the dataset. Early values are generally over 1 billion US dollars, with peaks around 1.5 billion observed near late 2017 and late 2018. After this peak period, accounts payable tend to decrease steadily, nearing around 700 to 800 million in later quarters. The reduction in accounts payable alongside fluctuating cost of sales may suggest more efficient payment practices, renegotiated supplier terms, or adjustments in purchasing behavior.
- Payables Turnover Ratio
- The payables turnover ratio demonstrates variability but stays mostly within the range of approximately 5.2 to 8.1 times per period. Notable spikes occur around early 2020, where the ratio reaches its highest value of 8.07, implying faster payment to suppliers during that timeframe. Conversely, the lowest ratio, around 5.24, appears around late 2018. Fluctuations in this ratio reflect changes in payment speeds relative to the cost of sales and accounts payable balances, potentially indicative of changes in credit terms or cash management policies over time.
Overall, the interplay between cost of sales reductions, decreasing accounts payable balances, and varying payables turnover suggests the company has experienced changes in its operational and financial management. The downward trend in accounts payable alongside volatility in cost of sales and payables turnover may indicate efforts to optimize working capital or respond to market conditions affecting procurement and finance functions.
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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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).
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 trends in working capital, net sales, and working capital turnover for a series of consecutive quarters. An analysis of these items reveals notable fluctuations and patterns over the periods observed.
- Working Capital
- Working capital showed an overall declining trend from the initial quarter up to the most recent quarter. Starting above 1.5 billion US dollars, it experienced fluctuations but generally trended downward, with some increases occurring sporadically. The most significant drop is evident towards the last quarters, where values decreased sharply to under 100 million US dollars. This indicates a reduction in short-term liquidity and possibly tighter management of current assets and liabilities.
- Net Sales
- Net sales exhibited considerable variability throughout the periods. Initially, net sales fluctuated around 2.7 to 3.3 billion US dollars, with some peaks notably in the quarters ending in early 2018 and 2020. However, there is a pronounced decline beginning around mid-2021, with sales dropping to below 2 billion and eventually nearing approximately 1.4 billion in the latest quarters. The decline suggests reduced revenue generation or demand challenges over recent periods.
- Working Capital Turnover
- Working capital turnover ratios demonstrated a mixed but largely increasing pattern over time. Ratios started below 10, with moderate fluctuations in the early quarters, followed by a pronounced spike from the quarters around mid-2021 onward. The most extreme values are observed in the final quarters, where the turnover ratio escalates dramatically beyond 200 and later above 90, reflecting very high efficiency in using working capital relative to sales. However, such spikes may be driven by the steep declines in working capital rather than purely improved operational efficiency.
In summary, the data suggests that while net sales have progressively declined in recent quarters, working capital has contracted even more sharply, resulting in unusually high working capital turnover ratios. This combination may indicate increasing pressure on operational liquidity and potential risks related to solvency or cash flow management despite the apparent efficiency gains shown by turnover ratios. The company would need to address the declining sales and consider the implications of reduced working capital on its financial stability and operational capacity.
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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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).
1 Q2 2023 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of the inventory management metrics over the observed quarterly periods reveals several notable trends and fluctuations.
- Inventory Turnover Ratio
-
The inventory turnover ratio shows variability from 2.41 to 4.14 across the periods. Initially, the ratio experienced minor declines and increases but generally trended upward from 2017 through early 2021, reaching a peak of 4.14 in May 2021. This upward trend indicates an improvement in the frequency with which inventory is sold and replaced, suggesting enhanced inventory efficiency during this timeframe.
Post-peak, the ratio exhibits a moderate decline and fluctuates without a clear direction, stabilizing around values slightly above 3.0 by the end of the period in August 2022. The temporary decline after the peak may reflect changes in sales volume, inventory levels, or potential supply chain adjustments.
- Average Inventory Processing Period (Days)
-
The average inventory processing period, representing the days inventory remains in stock, shows an inverse pattern relative to the inventory turnover ratio as expected. Early observations indicate a decrease from 151 days down to around 88 days, reflecting faster inventory turnover.
This improvement is most pronounced between late 2017 and mid-2021, with the shortest inventory holding period recorded in May and August 2021. A shorter processing period corroborates the increased turnover ratio and implies more efficient inventory management.
However, from late 2021 onwards, the average days in inventory increase again, rising to approximately 119 days by August 2022. This lengthening indicates slower inventory movement in the latter periods, consistent with the observed decrease and stabilization in turnover ratio.
In summary, the data demonstrates a period of improving inventory management efficiency culminating in mid-2021, followed by a reversion towards slower inventory turnover and extended holding periods in subsequent quarters. These patterns suggest fluctuating operational dynamics possibly influenced by market conditions, demand variability, or supply chain factors during the analyzed period.
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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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).
1 Q2 2023 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The available quarterly financial data shows no recorded values for receivables turnover or average receivable collection period throughout the observed periods. Consequently, no trend analysis or insights can be drawn regarding the management of receivables based on this dataset.
Due to the absence of numeric data, it is not possible to comment on the efficiency of credit and collections activities or any changes in working capital management related to receivables over the given timeframe.
Further data would be required to conduct a meaningful analysis of the company's performance in these specific metrics.
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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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).
1 Q2 2023 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
- Inventory Management Trend
- The average inventory processing period exhibits a general downward trend over the approximately five-year span. Beginning at 141 days in May 2017, it declines progressively to 119 days by August 2022, with some fluctuations. Notably, there are periods of sharper decreases, such as from 151 days in November 2017 to 121 days in March 2018. Another significant decline occurs from 122 days in November 2021 down to 119 days by August 2022. These movements suggest improvements in inventory turnover efficiency, indicating that inventory is being processed and sold more quickly over time.
- Fluctuations and Variability
- Although the overall trend is downward, several intervals show temporary increases in the processing period. For example, December 2018 saw an increase to 135 days from 128 days in September 2018, and November 2019 marked an increase to 121 days from 108 days in August 2019. Such fluctuations may reflect seasonal factors, changes in inventory management practices, or variability in supply chain operations during those specific quarters.
- Missing Data for Receivables and Operating Cycle
- There is no available data for the average receivable collection period or the operating cycle during the entire period analyzed. The absence of this information restricts a comprehensive analysis of the company’s cash conversion efficiency and the overall liquidity cycle. Without these metrics, it is challenging to fully assess how quickly the company converts its inventory and receivables into cash.
- Interpretation of Inventory Period in the Context of Business Efficiency
- The reductions in average inventory processing period indicate efforts toward enhancing inventory management. Shorter inventory days generally reflect better inventory turnover and potentially lower holding costs, which can improve operational cash flow. However, given the missing data on receivable collection and operating cycle, conclusions about overall operational efficiency remain incomplete.
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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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).
1 Q2 2023 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Payables Turnover Ratio
- The payables turnover ratio shows notable fluctuations over the observed quarters. Starting from 6.5 in May 2017, the ratio experienced a decline to 5.3 in November 2017 before rising again to a peak of 8.07 in February 2020. After this peak, it declined and stabilized around the 6.2 to 7.4 range through 2020 and 2021. In 2022, the ratio remained relatively steady, ending close to 6.17. This pattern suggests periods of faster payment cycles interspersed with intervals of slower turnover, indicating variable efficiency in settling payables throughout the timeline.
- Average Payables Payment Period (in days)
- The average payables payment period generally exhibits an inverse relationship with the payables turnover ratio, reflecting variations in payment timing. Initially, it remained around 56 days in mid-2017, then increased to 69-70 days by the end of 2017 and late 2018, indicating slower payments. Subsequently, this figure decreased to approximately 45 days in early 2020, aligning with the peak in turnover ratio, signaling faster payments. From mid-2020 onwards, the payment period fluctuated moderately between 49 and 59 days, comparatively stable but slightly longer towards mid and late 2021 and into 2022. This suggests a more consistent payment strategy in recent periods, with minor increases in the days payable outstanding.
- Overall Trends and Insights
- The observed data indicate cyclical adjustments in the payment behavior, with periods of both acceleration and deceleration in settling payables. The peak payables turnover ratio in early 2020 coupled with the shortest payment period suggests a phase of improved liquidity management or possibly cash flow optimization. Conversely, the elevated average payment days near the end of 2017 and 2018 might reflect strategic extensions of payment terms or external pressures affecting cash management. The relative stabilization post-2020 may denote an established approach to payable management under evolving business conditions.
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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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).
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.
- Average Inventory Processing Period
-
The average inventory processing period exhibited fluctuations over the analyzed quarters. Initially, it started at 141 days in May 2017, then experienced a moderate decline toward early 2018, reaching 121 days in June 2018. Thereafter, the period oscillated, with a decrease to as low as 88 days in May 2021, indicating improved inventory turnover efficiency. However, there was a notable increase toward the end of 2021 and into 2022, rising back to approximately 119-124 days. Overall, while there was a general downward trend up to mid-2021, the recent increase suggests some challenges in inventory management or changes in stock levels.
- Average Receivable Collection Period
-
No data was reported for the average receivable collection period throughout the entire timeframe. Consequently, no conclusions can be drawn regarding trends or efficiency in receivables management.
- Average Payables Payment Period
-
This period demonstrated variability but stayed within a relatively narrow range. Starting at 56 days in May 2017, it increased to a peak of 70 days by December 2018, indicating a longer duration before settling payables. Following this peak, the period generally stabilized between 49 and 59 days from early 2019 through mid-2022, alternating slightly but showing no clear upward or downward long-term trend. The slight fluctuations may reflect supplier payment policies or cash flow management strategies adjusting to operational needs.
- Cash Conversion Cycle
-
No data was available for the cash conversion cycle for any period, preventing analysis of the overall effectiveness in managing working capital.