Analysis of Short-term (Operating) Activity Ratios
Quarterly Data
Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
RH, short-term (operating) activity ratios (quarterly data)
Based on: 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-K (reporting date: 2021-01-30), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-08-01), 10-Q (reporting date: 2020-05-02), 10-K (reporting date: 2020-02-01), 10-Q (reporting date: 2019-11-02), 10-Q (reporting date: 2019-08-03), 10-Q (reporting date: 2019-05-04), 10-K (reporting date: 2019-02-02), 10-Q (reporting date: 2018-11-03), 10-Q (reporting date: 2018-08-04), 10-Q (reporting date: 2018-05-05), 10-K (reporting date: 2018-02-03), 10-Q (reporting date: 2017-10-28), 10-Q (reporting date: 2017-07-29), 10-Q (reporting date: 2017-04-29).
The analyzed data reveals significant trends in inventory management, receivables efficiency, and overall operational cycle for the company over several quarters.
- Inventory Turnover
- The inventory turnover ratio demonstrates an initial decline from 3.02 to 2.66 between early 2018 and early 2019, followed by a rise reaching 3.68 in late 2019. Subsequently, it trends downward again, stabilizing around 2.2 in early 2023. This suggests fluctuating efficiency in inventory management, with periods of improved turnover interspersed with declining trends indicating potential accumulation or slower inventory movement in recent quarters.
- Receivables Turnover
- The receivables turnover ratio starts high at approximately 78 in early 2018 and declines consistently until mid-2020, reaching a low near 45. Thereafter, it shows recovery with growth towards 70 by late 2022, followed by a slight decline again. This pattern indicates deteriorating receivables collection efficiency initially, followed by gradual improvements, although some volatility persists in recent periods.
- Working Capital Turnover
- Data on working capital turnover is sparse but highlights a notable drop from 19.43 to about 15.85 by mid-2018. For the later periods starting in mid-2022, ratios hover between 1.6 and 2.2, substantially lower than earlier values. This suggests a significant change either in working capital structure or operational scale, reflecting lesser turnover of working capital in more recent periods.
- Average Inventory Processing Period
- The average inventory processing period has increased overall, starting near 121 days in early 2018, declining to around 99 days by early 2019, then rising again steadily to about 165 days by early 2023. This rising trend points to a lengthening of the time inventory remains on hand, possibly indicating slower sales or changes in inventory strategy.
- Average Receivable Collection Period
- The average collection period shows relative stability, fluctuating mildly between 5 and 8 days throughout the observed timeline. This stability suggests consistent credit and collection policies, despite underlying variations in turnover ratios.
- Operating Cycle
- The operating cycle, which combines inventory processing and receivables collection periods, mirrors the lengthening trend observed in inventory processing. It rises from 126 days in early 2018 to a peak around 172 days by late 2022, before stabilizing near 170 days in early 2023. This increase reflects potentially slower overall operational throughput and longer cash conversion cycles.
Overall, the data reflects a trend towards longer inventory holding periods and extended operating cycles, coupled with fluctuating efficiency in inventory and receivables management. While receivables collection periods remain stable, the turnover ratios suggest challenges in maintaining consistent asset utilization and liquidity over the reviewed periods.
Turnover Ratios
Average No. Days
Inventory Turnover
RH, inventory turnover calculation (quarterly data)
| Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | Jan 30, 2021 | Oct 31, 2020 | Aug 1, 2020 | May 2, 2020 | Feb 1, 2020 | Nov 2, 2019 | Aug 3, 2019 | May 4, 2019 | Feb 2, 2019 | Nov 3, 2018 | Aug 4, 2018 | May 5, 2018 | Feb 3, 2018 | Oct 28, 2017 | Jul 29, 2017 | Apr 29, 2017 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||||||
| Cost of goods sold | 391,617) | 403,093) | 448,288) | 468,402) | 458,709) | 447,237) | 501,174) | 501,183) | 453,815) | 427,308) | 435,683) | 376,863) | 283,241) | 381,903) | 393,360) | 411,556) | 365,607) | 408,190) | 382,047) | 369,198) | 345,371) | 411,622) | 378,148) | 409,513) | 391,824) | ||||||||
| Merchandise inventories | 766,301) | 801,841) | 819,299) | 859,078) | 817,327) | 734,289) | 633,591) | 645,987) | 593,946) | 544,227) | 497,076) | 487,639) | 494,260) | 438,696) | 429,189) | 480,688) | 530,190) | 531,947) | 566,117) | 551,343) | 530,657) | 527,026) | 557,345) | 608,048) | 683,984) | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||
| Inventory turnover1 | 2.23 | 2.22 | 2.22 | 2.18 | 2.33 | 2.59 | 2.97 | 2.81 | 2.85 | 2.80 | 2.97 | 2.94 | 2.97 | 3.54 | 3.68 | 3.26 | 2.88 | 2.83 | 2.66 | 2.73 | 2.91 | 3.02 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||||||||||||
| Amazon.com Inc. | 9.94 | 9.15 | 8.41 | 8.01 | 8.49 | 8.40 | 7.80 | 7.30 | 7.90 | 8.34 | 8.69 | 10.90 | 10.54 | 9.80 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Home Depot Inc. | 4.08 | 4.20 | 4.07 | 3.96 | 4.01 | 4.55 | 4.76 | 5.06 | 4.87 | 5.25 | 5.13 | 5.83 | 4.93 | 5.00 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lowe’s Cos. Inc. | 3.28 | 3.50 | 3.23 | 3.29 | 3.14 | 3.65 | 3.82 | 3.66 | 3.44 | 3.71 | 3.64 | 3.90 | 3.52 | 3.73 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| TJX Cos. Inc. | 5.64 | 6.21 | 4.26 | 5.04 | 5.10 | 5.82 | 4.90 | 6.04 | 5.35 | 5.66 | 5.08 | 6.88 | 5.59 | 6.13 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-K (reporting date: 2021-01-30), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-08-01), 10-Q (reporting date: 2020-05-02), 10-K (reporting date: 2020-02-01), 10-Q (reporting date: 2019-11-02), 10-Q (reporting date: 2019-08-03), 10-Q (reporting date: 2019-05-04), 10-K (reporting date: 2019-02-02), 10-Q (reporting date: 2018-11-03), 10-Q (reporting date: 2018-08-04), 10-Q (reporting date: 2018-05-05), 10-K (reporting date: 2018-02-03), 10-Q (reporting date: 2017-10-28), 10-Q (reporting date: 2017-07-29), 10-Q (reporting date: 2017-04-29).
1 Q1 2024 Calculation
Inventory turnover
= (Cost of goods soldQ1 2024
+ Cost of goods soldQ4 2023
+ Cost of goods soldQ3 2023
+ Cost of goods soldQ2 2023)
÷ Merchandise inventories
= (391,617 + 403,093 + 448,288 + 468,402)
÷ 766,301 = 2.23
2 Click competitor name to see calculations.
The data reveals notable fluctuations in cost of goods sold (COGS) and merchandise inventories over the analyzed periods, accompanied by variations in inventory turnover ratios. These patterns suggest changes in sales activity, inventory management, and possibly supply chain conditions.
- Cost of Goods Sold (COGS)
- The COGS show cyclical patterns with periodic increases and decreases. Initially, between April 2017 and early 2018, COGS generally fluctuated around a range just above 345 million to over 410 million USD. A significant drop is observed in May 2020, where COGS decreased to approximately 283 million USD, plausibly reflecting external disruptions such as market downturns or operational challenges. Following this trough, there was a substantial rebound with COGS climbing above 500 million USD by early 2021, peaking in the early and mid-2021 quarters. Subsequently, a gradual decline is tracked into 2023, with COGS trending downward to near 391 million USD by April 2023.
- Merchandise Inventories
- Inventory levels consistently indicate an upward trend through most of the period. From around 684 million USD in April 2017, inventories decreased until February 2020, reaching just below 440 million USD. This decline is followed by a strong increase post-February 2020, with inventories rising sharply to surpass 850 million USD by mid-2022, evidencing accumulation of stock possibly due to cautious purchasing or slowed turnover. A minor decline is visible in the latest quarters, with inventory values reducing to approximately 766 million USD by April 2023, yet still well above earlier period levels.
- Inventory Turnover Ratio
- The inventory turnover ratio, indicative of how efficiently inventory is sold and replaced, starts at around 3.02 in early 2018 and shows a general decreasing trend over time. The ratio dips gradually, reaching values near 2.18–2.23 in late 2022 and early 2023. This deceleration reflects slower inventory movement relative to sales, consistent with rising inventory levels and the variability observed in COGS. The decline implies that inventory is being held longer on average, which could be due to shifts in demand, supply chain constraints, or strategic stockpiling.
Overall, the financial data portrays a scenario of increasing inventory investment alongside fluctuating cost of goods sold and a diminishing turnover rate. This pattern may point to challenges in balancing supply with demand or evolving operational strategies affecting inventory management and sales performance. Further investigation into market conditions and internal policies during the periods of sharp changes would be beneficial to fully understand the underlying causes.
Receivables Turnover
RH, receivables turnover calculation (quarterly data)
| Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | Jan 30, 2021 | Oct 31, 2020 | Aug 1, 2020 | May 2, 2020 | Feb 1, 2020 | Nov 2, 2019 | Aug 3, 2019 | May 4, 2019 | Feb 2, 2019 | Nov 3, 2018 | Aug 4, 2018 | May 5, 2018 | Feb 3, 2018 | Oct 28, 2017 | Jul 29, 2017 | Apr 29, 2017 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||||||
| Net revenues | 739,162) | 772,499) | 869,066) | 991,620) | 957,292) | 902,741) | 1,006,428) | 988,859) | 860,792) | 812,436) | 844,013) | 709,282) | 482,895) | 664,976) | 677,526) | 706,514) | 598,421) | 670,891) | 636,558) | 640,798) | 557,406) | 670,295) | 592,473) | 615,326) | 562,080) | ||||||||
| Accounts receivable, net | 60,233) | 59,763) | 58,563) | 55,538) | 65,602) | 57,914) | 60,621) | 59,798) | 60,212) | 59,474) | 59,065) | 55,916) | 49,099) | 48,979) | 45,312) | 44,287) | 48,882) | 40,224) | 42,748) | 40,706) | 38,614) | 31,412) | 34,447) | 34,752) | 34,116) | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||
| Receivables turnover1 | 55.99 | 60.08 | 63.53 | 69.47 | 58.77 | 64.90 | 60.52 | 58.63 | 53.59 | 47.90 | 45.73 | 45.33 | 51.57 | 54.05 | 58.56 | 58.99 | 52.10 | 62.29 | 58.60 | 60.46 | 63.07 | 77.68 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||||||
| Home Depot Inc. | 36.97 | 47.45 | 42.15 | 41.67 | 38.76 | 44.12 | 41.81 | 43.47 | 39.00 | 44.15 | 47.12 | 46.57 | 42.95 | 52.34 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| TJX Cos. Inc. | 85.71 | 88.70 | 86.31 | 89.32 | 86.53 | 93.79 | 74.20 | 70.21 | 60.88 | 69.69 | 72.02 | 75.94 | 213.66 | 108.00 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-K (reporting date: 2021-01-30), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-08-01), 10-Q (reporting date: 2020-05-02), 10-K (reporting date: 2020-02-01), 10-Q (reporting date: 2019-11-02), 10-Q (reporting date: 2019-08-03), 10-Q (reporting date: 2019-05-04), 10-K (reporting date: 2019-02-02), 10-Q (reporting date: 2018-11-03), 10-Q (reporting date: 2018-08-04), 10-Q (reporting date: 2018-05-05), 10-K (reporting date: 2018-02-03), 10-Q (reporting date: 2017-10-28), 10-Q (reporting date: 2017-07-29), 10-Q (reporting date: 2017-04-29).
1 Q1 2024 Calculation
Receivables turnover
= (Net revenuesQ1 2024
+ Net revenuesQ4 2023
+ Net revenuesQ3 2023
+ Net revenuesQ2 2023)
÷ Accounts receivable, net
= (739,162 + 772,499 + 869,066 + 991,620)
÷ 60,233 = 55.99
2 Click competitor name to see calculations.
- Net Revenues
- Net revenues exhibit a generally increasing trend over the given periods, starting at approximately 562 million USD in April 2017 and reaching a peak of nearly 1 billion USD by October 2021. This growth, however, includes fluctuations with occasional declines. Notably, there is a significant dip in May 2020, where revenues fall to around 483 million USD, likely reflecting external challenges during that period. After this trough, revenues recover strongly, hitting new highs up to early 2022 before declining again in the most recent quarters to approximately 739 million USD by April 2023.
- Accounts Receivable, Net
- Accounts receivable demonstrate a gradual upward movement over the timeline. Beginning at approximately 34 million USD in April 2017, the value increases sporadically, reaching between 59 and 61 million USD in the latest reported periods. This suggests a growing volume of credit sales or extended payment terms over time. There are some periods of slight decreases or stagnation, but the overall trajectory corresponds with the expansion in revenues.
- Receivables Turnover Ratio
- The receivables turnover ratio shows a declining trend from 77.68 in February 2018 to values around the mid-50s to mid-60s in later periods. The initial high turnover ratio indicates rapid collection of receivables, reflecting efficient credit management. Over time, there is a noticeable decrease in this ratio, reaching a low of approximately 45.33 in May 2020, coinciding with the revenue dip and possibly signaling delays or difficulties in collection. The ratio then recovers moderately, showing fluctuations between 55 and 69 ratios in subsequent periods, indicating some restoration of collection efficiency but not to initial levels.
- Overall Patterns and Insights
- The data reflect a generally expanding business with increasing revenues and accounts receivable balances. The dip in revenues and receivables turnover in early 2020 aligns with a period of broader economic disruption, likely impacting cash flow and collection effectiveness. Although net revenues recover and even exceed prior levels in subsequent periods, the receivables turnover ratio does not return to its previous peak, implying a possible trend toward longer collection periods or changes in credit policy. Management might consider monitoring credit controls and working capital efficiency to address these shifts.
Working Capital Turnover
RH, working capital turnover calculation (quarterly data)
| Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | Jan 30, 2021 | Oct 31, 2020 | Aug 1, 2020 | May 2, 2020 | Feb 1, 2020 | Nov 2, 2019 | Aug 3, 2019 | May 4, 2019 | Feb 2, 2019 | Nov 3, 2018 | Aug 4, 2018 | May 5, 2018 | Feb 3, 2018 | Oct 28, 2017 | Jul 29, 2017 | Apr 29, 2017 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | |||||||||||||||||||||||||||||||||
| Current assets | 2,475,844) | 2,512,664) | 3,266,457) | 3,251,318) | 3,399,061) | 3,091,442) | 3,013,839) | 1,137,816) | 989,408) | 801,484) | 734,900) | 621,439) | 625,721) | 596,952) | 559,479) | 657,622) | 822,065) | 682,693) | 694,038) | 692,502) | 650,131) | 644,930) | 688,995) | 742,116) | 914,670) | ||||||||
| Less: Current liabilities | 851,503) | 885,973) | 935,176) | 958,903) | 1,361,530) | 1,063,758) | 1,096,310) | 1,229,000) | 1,016,172) | 921,632) | 882,585) | 784,980) | 968,935) | 982,912) | 903,706) | 924,957) | 1,011,610) | 918,172) | 865,073) | 836,945) | 496,496) | 519,335) | 469,757) | 495,749) | 443,921) | ||||||||
| Working capital | 1,624,341) | 1,626,691) | 2,331,281) | 2,292,415) | 2,037,531) | 2,027,684) | 1,917,529) | (91,184) | (26,764) | (120,148) | (147,685) | (163,541) | (343,214) | (385,960) | (344,227) | (267,335) | (189,545) | (235,479) | (171,035) | (144,443) | 153,635) | 125,595) | 219,238) | 246,367) | 470,749) | ||||||||
| Net revenues | 739,162) | 772,499) | 869,066) | 991,620) | 957,292) | 902,741) | 1,006,428) | 988,859) | 860,792) | 812,436) | 844,013) | 709,282) | 482,895) | 664,976) | 677,526) | 706,514) | 598,421) | 670,891) | 636,558) | 640,798) | 557,406) | 670,295) | 592,473) | 615,326) | 562,080) | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||
| Working capital turnover1 | 2.08 | 2.21 | 1.60 | 1.68 | 1.89 | 1.85 | 1.91 | — | — | — | — | — | — | — | — | — | — | — | — | — | 15.85 | 19.43 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||||||
| Amazon.com Inc. | 53.59 | 77.32 | — | — | — | — | — | — | — | 24.33 | 31.50 | 19.23 | 69.81 | 60.82 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Home Depot Inc. | 22.32 | 16.81 | 16.73 | 30.40 | 43.84 | 417.56 | 41.45 | 90.49 | 48.51 | 24.87 | 13.79 | 16.66 | 28.53 | 76.81 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lowe’s Cos. Inc. | 20.34 | 50.26 | 23.32 | 41.46 | 25.26 | 245.54 | 23.72 | 27.67 | 24.04 | 24.92 | 11.60 | 12.67 | 20.57 | 530.50 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| TJX Cos. Inc. | 24.41 | 23.22 | 28.07 | 29.41 | 20.26 | 17.40 | 14.05 | 12.91 | 7.40 | 6.51 | 6.91 | 8.72 | 6.55 | 23.97 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-K (reporting date: 2021-01-30), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-08-01), 10-Q (reporting date: 2020-05-02), 10-K (reporting date: 2020-02-01), 10-Q (reporting date: 2019-11-02), 10-Q (reporting date: 2019-08-03), 10-Q (reporting date: 2019-05-04), 10-K (reporting date: 2019-02-02), 10-Q (reporting date: 2018-11-03), 10-Q (reporting date: 2018-08-04), 10-Q (reporting date: 2018-05-05), 10-K (reporting date: 2018-02-03), 10-Q (reporting date: 2017-10-28), 10-Q (reporting date: 2017-07-29), 10-Q (reporting date: 2017-04-29).
1 Q1 2024 Calculation
Working capital turnover
= (Net revenuesQ1 2024
+ Net revenuesQ4 2023
+ Net revenuesQ3 2023
+ Net revenuesQ2 2023)
÷ Working capital
= (739,162 + 772,499 + 869,066 + 991,620)
÷ 1,624,341 = 2.08
2 Click competitor name to see calculations.
The financial data reveals several key trends over the periods analyzed. Working capital shows significant fluctuations, with positive values initially in 2017 followed by persistent negative figures throughout most of 2018 and into early 2021. Notably, there is a strong recovery starting in late 2021, where working capital becomes positive again and reaches substantially higher values by early 2023 compared to earlier periods.
Net revenues exhibit a more stable upward trajectory over time, despite some variability. Revenues increase from around 562 million US dollars in early 2017 to peaks exceeding 988 million US dollars by late 2021, before experiencing a moderate decline in 2022 and early 2023. This indicates overall growth in sales, with periodic fluctuations that may reflect seasonality or market conditions.
The working capital turnover ratio, available sporadically, shows a high value above 15 in 2018 and early 2019, suggesting efficient use of working capital during that timeframe. In contrast, the ratio drops significantly to values below 2 from 2021 onwards, implying a lower turnover of working capital relative to net revenues. This decline in turnover could be linked to the large positive working capital balances observed recently, potentially indicating an accumulation of current assets or changes in operational management.
- Working Capital
- Initially positive but declines sharply into negative territory from mid-2018 through early 2021. Substantial recovery and positive growth occur from late 2021 onward.
- Net Revenues
- Overall increasing trend with peaks around late 2021. Some decline noted in 2022 and early 2023, yet revenues remain higher than early period values.
- Working Capital Turnover
- Very high turnover ratios in 2018 and early 2019, indicating efficient capital use. Significant decline in turnover from 2021 onward, suggesting changes in how working capital supports sales.
In summary, the data points to a period of working capital challenges followed by recovery coinciding with revenue growth. However, the efficiency of working capital utilization has diminished in recent years compared to earlier periods. These observations may warrant further investigation into working capital management practices and operational factors influencing these shifts.
Average Inventory Processing Period
RH, average inventory processing period calculation (quarterly data)
| Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | Jan 30, 2021 | Oct 31, 2020 | Aug 1, 2020 | May 2, 2020 | Feb 1, 2020 | Nov 2, 2019 | Aug 3, 2019 | May 4, 2019 | Feb 2, 2019 | Nov 3, 2018 | Aug 4, 2018 | May 5, 2018 | Feb 3, 2018 | Oct 28, 2017 | Jul 29, 2017 | Apr 29, 2017 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||||||
| Inventory turnover | 2.23 | 2.22 | 2.22 | 2.18 | 2.33 | 2.59 | 2.97 | 2.81 | 2.85 | 2.80 | 2.97 | 2.94 | 2.97 | 3.54 | 3.68 | 3.26 | 2.88 | 2.83 | 2.66 | 2.73 | 2.91 | 3.02 | — | — | — | ||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||
| Average inventory processing period1 | 163 | 165 | 164 | 167 | 156 | 141 | 123 | 130 | 128 | 130 | 123 | 124 | 123 | 103 | 99 | 112 | 127 | 129 | 137 | 134 | 125 | 121 | — | — | — | ||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||||||||||
| Amazon.com Inc. | 37 | 40 | 43 | 46 | 43 | 43 | 47 | 50 | 46 | 44 | 42 | 33 | 35 | 37 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Home Depot Inc. | 89 | 87 | 90 | 92 | 91 | 80 | 77 | 72 | 75 | 70 | 71 | 63 | 74 | 73 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| Lowe’s Cos. Inc. | 111 | 104 | 113 | 111 | 116 | 100 | 96 | 100 | 106 | 98 | 100 | 94 | 104 | 98 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| TJX Cos. Inc. | 65 | 59 | 86 | 72 | 72 | 63 | 74 | 60 | 68 | 65 | 72 | 53 | 65 | 60 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-K (reporting date: 2021-01-30), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-08-01), 10-Q (reporting date: 2020-05-02), 10-K (reporting date: 2020-02-01), 10-Q (reporting date: 2019-11-02), 10-Q (reporting date: 2019-08-03), 10-Q (reporting date: 2019-05-04), 10-K (reporting date: 2019-02-02), 10-Q (reporting date: 2018-11-03), 10-Q (reporting date: 2018-08-04), 10-Q (reporting date: 2018-05-05), 10-K (reporting date: 2018-02-03), 10-Q (reporting date: 2017-10-28), 10-Q (reporting date: 2017-07-29), 10-Q (reporting date: 2017-04-29).
1 Q1 2024 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.23 = 163
2 Click competitor name to see calculations.
The inventory turnover ratio and the average inventory processing period demonstrate inverse trends as expected, reflecting changes in inventory management efficiency over the analyzed quarters.
- Inventory Turnover Ratio
- The inventory turnover ratio begins at 3.02 in early 2018 and shows a generally declining trend reaching its lowest point around mid to late 2022, with values dropping from 2.59 to 2.18. Subsequently, the ratio stabilizes slightly around 2.22 to 2.23 by early 2023. This trend indicates a reduction in the frequency with which inventory is sold and replaced over the period, suggesting a slowdown in inventory movement or possible inventory buildup.
- Average Inventory Processing Period
- The average inventory processing period inversely complements the turnover ratio, beginning at 121 days in early 2018 and increasing steadily to a peak of approximately 167 days by late 2022. By early 2023, the processing period remains elevated around 163 days. This upward trend is indicative of slower inventory turnover, meaning that the inventory is held for longer durations before being sold, which may imply potential issues in sales velocity or overstocking.
Overall, the data suggest a trend of declining inventory turnover alongside an elongating inventory holding period, which could imply challenges such as decreased demand, supply chain delays, or inventory management inefficiencies during the latter years. The stabilization of ratios at the end of the period may reflect attempts to address these issues or a new equilibrium in inventory management practices.
Average Receivable Collection Period
RH, average receivable collection period calculation (quarterly data)
| Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | Jan 30, 2021 | Oct 31, 2020 | Aug 1, 2020 | May 2, 2020 | Feb 1, 2020 | Nov 2, 2019 | Aug 3, 2019 | May 4, 2019 | Feb 2, 2019 | Nov 3, 2018 | Aug 4, 2018 | May 5, 2018 | Feb 3, 2018 | Oct 28, 2017 | Jul 29, 2017 | Apr 29, 2017 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||||||
| Receivables turnover | 55.99 | 60.08 | 63.53 | 69.47 | 58.77 | 64.90 | 60.52 | 58.63 | 53.59 | 47.90 | 45.73 | 45.33 | 51.57 | 54.05 | 58.56 | 58.99 | 52.10 | 62.29 | 58.60 | 60.46 | 63.07 | 77.68 | — | — | — | ||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||||||
| Average receivable collection period1 | 7 | 6 | 6 | 5 | 6 | 6 | 6 | 6 | 7 | 8 | 8 | 8 | 7 | 7 | 6 | 6 | 7 | 6 | 6 | 6 | 6 | 5 | — | — | — | ||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||||||
| Home Depot Inc. | 10 | 8 | 9 | 9 | 9 | 8 | 9 | 8 | 9 | 8 | 8 | 8 | 8 | 7 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| TJX Cos. Inc. | 4 | 4 | 4 | 4 | 4 | 4 | 5 | 5 | 6 | 5 | 5 | 5 | 2 | 3 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-K (reporting date: 2021-01-30), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-08-01), 10-Q (reporting date: 2020-05-02), 10-K (reporting date: 2020-02-01), 10-Q (reporting date: 2019-11-02), 10-Q (reporting date: 2019-08-03), 10-Q (reporting date: 2019-05-04), 10-K (reporting date: 2019-02-02), 10-Q (reporting date: 2018-11-03), 10-Q (reporting date: 2018-08-04), 10-Q (reporting date: 2018-05-05), 10-K (reporting date: 2018-02-03), 10-Q (reporting date: 2017-10-28), 10-Q (reporting date: 2017-07-29), 10-Q (reporting date: 2017-04-29).
1 Q1 2024 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 55.99 = 7
2 Click competitor name to see calculations.
- Receivables Turnover
- The receivables turnover ratio exhibits a generally declining trend from May 2018 through April 2020, decreasing from approximately 77.68 to a low of around 45.33. This decline indicates a gradual reduction in the frequency with which receivables are collected during this period. Following this low point, the ratio begins to recover steadily, reaching a peak of about 69.47 by July 2022 before slightly declining again towards the end of the observed timeframe, ending close to 55.99 in April 2023. This pattern suggests an initial weakening in receivables collection efficiency, followed by a partial recovery and some fluctuation in the latter periods.
- Average Receivable Collection Period
- The average collection period, expressed in days, inversely reflects the receivables turnover trend. Starting at approximately 5 days in May 2018, the collection period extends gradually, reaching a maximum duration of about 8 days between August 2020 and January 2021. Subsequently, there is a modest improvement, with the collection period decreasing back to around 5-6 days by late 2022. In the final periods up to April 2023, the collection period lengthens slightly, settling at 6 to 7 days. Overall, this indicates a temporary lengthening of the time required to collect receivables during 2019 and 2020, followed by a partial normalization in the subsequent years.
- General Insights
- The inverse relationship between the receivables turnover ratio and the average collection period is evident throughout the timeframe. The initial decline in turnover ratio coupled with increasing collection days may point to challenges in receivables management or changes in credit policies during the 2018-2020 period. The subsequent improvement suggests efforts or conditions that enhanced the collection process, improving liquidity metrics. However, the slight downward trend in turnover and increase in collection days towards the latest recorded quarter indicates some renewed pressure or loosening in receivables management efficiency. Monitoring these trends could be essential for maintaining optimal working capital management moving forward.
Operating Cycle
RH, operating cycle calculation (quarterly data)
No. days
| Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | Jan 30, 2021 | Oct 31, 2020 | Aug 1, 2020 | May 2, 2020 | Feb 1, 2020 | Nov 2, 2019 | Aug 3, 2019 | May 4, 2019 | Feb 2, 2019 | Nov 3, 2018 | Aug 4, 2018 | May 5, 2018 | Feb 3, 2018 | Oct 28, 2017 | Jul 29, 2017 | Apr 29, 2017 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||||||
| Average inventory processing period | 163 | 165 | 164 | 167 | 156 | 141 | 123 | 130 | 128 | 130 | 123 | 124 | 123 | 103 | 99 | 112 | 127 | 129 | 137 | 134 | 125 | 121 | — | — | — | ||||||||
| Average receivable collection period | 7 | 6 | 6 | 5 | 6 | 6 | 6 | 6 | 7 | 8 | 8 | 8 | 7 | 7 | 6 | 6 | 7 | 6 | 6 | 6 | 6 | 5 | — | — | — | ||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||||||
| Operating cycle1 | 170 | 171 | 170 | 172 | 162 | 147 | 129 | 136 | 135 | 138 | 131 | 132 | 130 | 110 | 105 | 118 | 134 | 135 | 143 | 140 | 131 | 126 | — | — | — | ||||||||
| Benchmarks | |||||||||||||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||||||||||||
| Home Depot Inc. | 99 | 95 | 99 | 101 | 100 | 88 | 86 | 80 | 84 | 78 | 79 | 71 | 82 | 80 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
| TJX Cos. Inc. | 69 | 63 | 90 | 76 | 76 | 67 | 79 | 65 | 74 | 70 | 77 | 58 | 67 | 63 | — | — | — | — | — | — | — | — | — | — | — | ||||||||
Based on: 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01), 10-K (reporting date: 2021-01-30), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-08-01), 10-Q (reporting date: 2020-05-02), 10-K (reporting date: 2020-02-01), 10-Q (reporting date: 2019-11-02), 10-Q (reporting date: 2019-08-03), 10-Q (reporting date: 2019-05-04), 10-K (reporting date: 2019-02-02), 10-Q (reporting date: 2018-11-03), 10-Q (reporting date: 2018-08-04), 10-Q (reporting date: 2018-05-05), 10-K (reporting date: 2018-02-03), 10-Q (reporting date: 2017-10-28), 10-Q (reporting date: 2017-07-29), 10-Q (reporting date: 2017-04-29).
1 Q1 2024 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 163 + 7 = 170
2 Click competitor name to see calculations.
The average inventory processing period exhibits an overall upward trend from May 2018 to April 2023. Initially, the period increased steadily from 121 days in May 2018, reaching a peak of 167 days in October 2022. After October 2022, the days slightly decreased to 163 in April 2023. This suggests that over time, inventory turnover slowed, indicating potential challenges in inventory management or shifts in sales velocity.
The average receivable collection period remains relatively stable throughout the observed timeframe. Starting around 5 to 6 days in early periods, it fluctuates within a narrow band of 5 to 8 days without any significant trend upward or downward. This stability suggests consistent credit and collection policies and steady customer payment behavior.
The operating cycle, which combines inventory processing and receivable collection periods, follows a pattern similar to the inventory processing period. It increases consistently from approximately 126 days in May 2018 up to a peak of 172 days in October 2022, followed by a slight decrease to 170 days in April 2023. The lengthening operating cycle indicates that the company takes more time to convert its inventory and receivables back into cash, which could imply reduced operational efficiency or changes in market conditions.
In summary, the data reflect increasing durations in inventory handling and overall operating cycle over the observed quarters, while receivable collection remains stable. The lengthening operating cycle may warrant further investigation into inventory management strategies and sales effectiveness to mitigate potential impacts on liquidity and working capital management.