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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Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2023-12-29), 10-Q (reporting date: 2023-09-29), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-30), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-07-01), 10-Q (reporting date: 2022-04-01), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-01), 10-K (reporting date: 2021-07-02), 10-Q (reporting date: 2021-04-02), 10-Q (reporting date: 2021-01-01), 10-Q (reporting date: 2020-10-02), 10-K (reporting date: 2020-07-03), 10-Q (reporting date: 2020-04-03), 10-Q (reporting date: 2020-01-03), 10-Q (reporting date: 2019-10-04), 10-K (reporting date: 2019-06-28), 10-Q (reporting date: 2019-03-29), 10-Q (reporting date: 2018-12-28), 10-Q (reporting date: 2018-09-28).
- Inventory Turnover
- The inventory turnover ratio showed a moderate fluctuation over the analyzed period, starting around 4.18 and declining gradually to a low point near 2.75 before rebounding slightly to above 3.2. This indicates a slowing rate at which inventory was sold and replaced until a partial recovery in the most recent quarter.
- Receivables Turnover
- Receivables turnover experienced marked volatility, peaking sharply near 14.76 early on, then generally trending downward with intermittent recoveries. The ratio mostly remained below 9 in the latter periods, suggesting challenges in collecting accounts receivable quickly relative to earlier periods.
- Payables Turnover
- Payables turnover showed moderate variations, fluctuating between roughly 6.27 and 9.74. The highest ratio occurred mid-series, indicating periods of faster payment to suppliers. The latter part showed a decline, suggesting a slower pace in settling payables.
- Working Capital Turnover
- Working capital turnover displayed an overall upward trend despite fluctuations. Starting in the low 3s, the ratio rose notably toward 6.35 at one point, reflecting improved efficiency in using working capital to generate sales, but ended the sequence with a decline back toward 3.58.
- Average Inventory Processing Period
- The average days to process inventory initially hovered in the high 80s and low 90s, then increased steadily to peak around 133 days, before showing signs of reduction to approximately 114 days at the end. This pattern points to growing inventory holding periods which later partially improved.
- Average Receivable Collection Period
- Days sales outstanding generally increased from about 25 to nearly 53 days, indicating slower collection of receivables over time. This was followed by some declines but ended near 49 days, signifying persistently longer payment collection times relative to the initial periods.
- Operating Cycle
- The operating cycle lengthened gradually from about 120 days to a peak of approximately 176 days before easing slightly. This lengthening suggests an overall increase in the time required to convert inventory and receivables into cash.
- Average Payables Payment Period
- The payment period to suppliers was mostly stable, fluctuating between 45 and 58 days. A notable decline occurred mid-series with a low of 37 days, suggesting faster payments, yet it reverted back to around 53 days by the end.
- Cash Conversion Cycle
- The cash conversion cycle showed an increasing trend, rising from about 69 days to a peak near 131 days before a slight decrease to 110 days. This indicates a lengthening of the net time to convert resources into cash, which may impact liquidity and operational cash flow.
Turnover Ratios
Average No. Days
Inventory Turnover
| Dec 29, 2023 | Sep 29, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 30, 2022 | Sep 30, 2022 | Jul 1, 2022 | Apr 1, 2022 | Dec 31, 2021 | Oct 1, 2021 | Jul 2, 2021 | Apr 2, 2021 | Jan 1, 2021 | Oct 2, 2020 | Jul 3, 2020 | Apr 3, 2020 | Jan 3, 2020 | Oct 4, 2019 | Jun 28, 2019 | Mar 29, 2019 | Dec 28, 2018 | Sep 28, 2018 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Cost of revenue | |||||||||||||||||||||||||||||
| Inventories | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Inventory turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Apple Inc. | |||||||||||||||||||||||||||||
| Arista Networks Inc. | |||||||||||||||||||||||||||||
| Cisco Systems Inc. | |||||||||||||||||||||||||||||
| Dell Technologies Inc. | |||||||||||||||||||||||||||||
| Super Micro Computer Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-12-29), 10-Q (reporting date: 2023-09-29), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-30), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-07-01), 10-Q (reporting date: 2022-04-01), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-01), 10-K (reporting date: 2021-07-02), 10-Q (reporting date: 2021-04-02), 10-Q (reporting date: 2021-01-01), 10-Q (reporting date: 2020-10-02), 10-K (reporting date: 2020-07-03), 10-Q (reporting date: 2020-04-03), 10-Q (reporting date: 2020-01-03), 10-Q (reporting date: 2019-10-04), 10-K (reporting date: 2019-06-28), 10-Q (reporting date: 2019-03-29), 10-Q (reporting date: 2018-12-28), 10-Q (reporting date: 2018-09-28).
1 Q2 2024 Calculation
Inventory turnover
= (Cost of revenueQ2 2024
+ Cost of revenueQ1 2024
+ Cost of revenueQ4 2023
+ Cost of revenueQ3 2023)
÷ Inventories
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The cost of revenue over the observed periods demonstrated fluctuations with a general declining trend from late 2018 through to the end of 2023. Initially, the cost of revenue ranged around the mid-3000 million US dollars mark, peaking briefly in October 2021 at 3386 million US dollars. From that point onward, a marked decrease is visible, reaching values near 2540 million US dollars by the last quarter of 2023. This trend may suggest improved efficiency in production or cost management.
Inventory levels showed variation but remained somewhat stable with a slight upward tendency from 2018 until early 2022, peaking at 3862 million US dollars in the third quarter of 2022. Following this peak, inventories generally declined, ending at 3216 million US dollars towards the end of 2023. This pattern indicates a possible reduction in stockholding or improved inventory management after mid-2022.
The inventory turnover ratio exhibited a downward trend overall, decreasing from 4.18 in late 2018 to a low of 2.75 in early 2023. This decline signals that the company was turning over its inventory less frequently over time, potentially reflecting slower sales or accumulation of inventory. A slight recovery in inventory turnover to 3.2 by the end of 2023 suggests some improvement in inventory movement in recent quarters.
- Cost of Revenue
- Initially stable with minor fluctuations, peaking in late 2021, followed by a steady decline through 2023.
- Inventories
- Gradual increase until mid-2022, reaching a peak, then declining towards the end of the period.
- Inventory Turnover Ratio
- Decreasing trend indicating slower inventory movement, with a modest rebound in the last quarters of 2023.
Receivables Turnover
| Dec 29, 2023 | Sep 29, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 30, 2022 | Sep 30, 2022 | Jul 1, 2022 | Apr 1, 2022 | Dec 31, 2021 | Oct 1, 2021 | Jul 2, 2021 | Apr 2, 2021 | Jan 1, 2021 | Oct 2, 2020 | Jul 3, 2020 | Apr 3, 2020 | Jan 3, 2020 | Oct 4, 2019 | Jun 28, 2019 | Mar 29, 2019 | Dec 28, 2018 | Sep 28, 2018 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Revenue, net | |||||||||||||||||||||||||||||
| Accounts receivable, net | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Receivables turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Apple Inc. | |||||||||||||||||||||||||||||
| Arista Networks Inc. | |||||||||||||||||||||||||||||
| Cisco Systems Inc. | |||||||||||||||||||||||||||||
| Dell Technologies Inc. | |||||||||||||||||||||||||||||
| Super Micro Computer Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-12-29), 10-Q (reporting date: 2023-09-29), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-30), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-07-01), 10-Q (reporting date: 2022-04-01), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-01), 10-K (reporting date: 2021-07-02), 10-Q (reporting date: 2021-04-02), 10-Q (reporting date: 2021-01-01), 10-Q (reporting date: 2020-10-02), 10-K (reporting date: 2020-07-03), 10-Q (reporting date: 2020-04-03), 10-Q (reporting date: 2020-01-03), 10-Q (reporting date: 2019-10-04), 10-K (reporting date: 2019-06-28), 10-Q (reporting date: 2019-03-29), 10-Q (reporting date: 2018-12-28), 10-Q (reporting date: 2018-09-28).
1 Q2 2024 Calculation
Receivables turnover
= (Revenue, netQ2 2024
+ Revenue, netQ1 2024
+ Revenue, netQ4 2023
+ Revenue, netQ3 2023)
÷ Accounts receivable, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data indicates a fluctuating but overall declining trend in net revenue over the observed quarters. Starting from a peak near the end of 2018 at approximately $5,028 million, revenue decreased significantly into early 2019, reaching a low around $3,674 million in the first quarter of 2019. Subsequent quarters show moderate recovery and peaks in late 2021, with revenue again surpassing $5,000 million. However, from late 2021 through 2023, a downward trend in revenue is noticeable, dropping to approximately $2,750 million before a slight uptick to about $3,032 million by the end of 2023.
Accounts receivable values reveal variable movement without a clear linear trend, fluctuating correspondingly with the revenue movements but with some lag. Early periods show accounts receivable around $2,219 million, decreasing sharply into early 2019 to just above $1,200 million. The following years experienced growth peaks around $2,700 million near the end of 2021 and early 2022, then a gradual decline through 2023, settling near $1,500 million at year-end. This pattern suggests changes in credit terms or collection periods over time.
The receivables turnover ratio exhibits inverse behavior relative to accounts receivable, with higher turnover ratios in periods of lower accounts receivable balances and vice versa. The highest turnover rates occur in early 2019 with peak ratios around 14.76, indicating faster collection of receivables during this time. Subsequently, the turnover ratio decreases steadily, reaching lows near 6.7 in mid-2022, reflecting slower collection cycles or longer credit extensions. The ratio stabilizes somewhat in late 2022 and 2023 around 7.3 to 8.9, suggesting moderate improvements or adjustments in receivables management.
Overall, the data reflects a period of revenue contraction starting in 2019, recovering somewhat by late 2021, followed by another decline through 2023. Accounts receivable movement and receivables turnover ratios correspond with these revenue trends, indicating periods of tightened and relaxed credit management strategies. The fluctuations highlight operational challenges in maintaining revenue growth and managing working capital efficiently over the observed time frame.
- Net Revenue
- Displays a volatile pattern with initial decline in 2019, recovery peaking in late 2021, and a downward trend through 2023.
- Accounts Receivable
- Varies in relation to revenue with highs around late 2021 and lows in early 2019, followed by a gradual decrease in 2023.
- Receivables Turnover Ratio
- Peaks in early 2019 indicating efficient collection, declines thereafter reaching lows mid-2022, then stabilizes into 2023.
Payables Turnover
| Dec 29, 2023 | Sep 29, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 30, 2022 | Sep 30, 2022 | Jul 1, 2022 | Apr 1, 2022 | Dec 31, 2021 | Oct 1, 2021 | Jul 2, 2021 | Apr 2, 2021 | Jan 1, 2021 | Oct 2, 2020 | Jul 3, 2020 | Apr 3, 2020 | Jan 3, 2020 | Oct 4, 2019 | Jun 28, 2019 | Mar 29, 2019 | Dec 28, 2018 | Sep 28, 2018 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Cost of revenue | |||||||||||||||||||||||||||||
| Accounts payable | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Payables turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Apple Inc. | |||||||||||||||||||||||||||||
| Arista Networks Inc. | |||||||||||||||||||||||||||||
| Cisco Systems Inc. | |||||||||||||||||||||||||||||
| Dell Technologies Inc. | |||||||||||||||||||||||||||||
| Super Micro Computer Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-12-29), 10-Q (reporting date: 2023-09-29), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-30), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-07-01), 10-Q (reporting date: 2022-04-01), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-01), 10-K (reporting date: 2021-07-02), 10-Q (reporting date: 2021-04-02), 10-Q (reporting date: 2021-01-01), 10-Q (reporting date: 2020-10-02), 10-K (reporting date: 2020-07-03), 10-Q (reporting date: 2020-04-03), 10-Q (reporting date: 2020-01-03), 10-Q (reporting date: 2019-10-04), 10-K (reporting date: 2019-06-28), 10-Q (reporting date: 2019-03-29), 10-Q (reporting date: 2018-12-28), 10-Q (reporting date: 2018-09-28).
1 Q2 2024 Calculation
Payables turnover
= (Cost of revenueQ2 2024
+ Cost of revenueQ1 2024
+ Cost of revenueQ4 2023
+ Cost of revenueQ3 2023)
÷ Accounts payable
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data reveals several notable trends in the company's cost of revenue, accounts payable, and payables turnover over the observation period.
- Cost of Revenue
- The cost of revenue generally declined over the period. Starting at a level above 3,300 million USD in late 2018, it showed a gradual downward trend with some fluctuations. There were intermittent increases, notably around mid-2021, but the overall pattern from 2018 through 2023 demonstrates a decrease, reaching approximately 2,540 million USD by the end of 2023.
- Accounts Payable
- Accounts payable exhibited fluctuating levels with a peak near 2,000 million USD in early 2021, followed by a significant decrease reaching a low point of approximately 1,193 million USD by late 2022. Subsequently, the payable balance showed a slight recovery but remained below earlier highs, ending at around 1,504 million USD at the close of 2023.
- Payables Turnover Ratio
- The payables turnover ratio experienced notable variability. Initially, it increased from about 6.27 to above 8.0 during the first half of the period, indicating an improvement in the frequency of paying suppliers. The ratio peaked near 9.74 in late 2022, coinciding with the lowest accounts payable levels, consistent with faster payment cycles. After this peak, the ratio declined to roughly 6.84 by the end of 2023, signifying a slowing in payment frequency.
In summary, the cost of revenue demonstrated a decreasing trend, while accounts payable experienced volatility with a trough in 2022. The payables turnover ratio reflected these changes, peaking when payables were at their lowest and subsequently moderating. This suggests shifts in operational cash management and supplier payment practices over time.
Working Capital Turnover
| Dec 29, 2023 | Sep 29, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 30, 2022 | Sep 30, 2022 | Jul 1, 2022 | Apr 1, 2022 | Dec 31, 2021 | Oct 1, 2021 | Jul 2, 2021 | Apr 2, 2021 | Jan 1, 2021 | Oct 2, 2020 | Jul 3, 2020 | Apr 3, 2020 | Jan 3, 2020 | Oct 4, 2019 | Jun 28, 2019 | Mar 29, 2019 | Dec 28, 2018 | Sep 28, 2018 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Current assets | |||||||||||||||||||||||||||||
| Less: Current liabilities | |||||||||||||||||||||||||||||
| Working capital | |||||||||||||||||||||||||||||
| Revenue, net | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Working capital turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Apple Inc. | |||||||||||||||||||||||||||||
| Arista Networks Inc. | |||||||||||||||||||||||||||||
| Cisco Systems Inc. | |||||||||||||||||||||||||||||
| Dell Technologies Inc. | |||||||||||||||||||||||||||||
| Super Micro Computer Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-12-29), 10-Q (reporting date: 2023-09-29), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-30), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-07-01), 10-Q (reporting date: 2022-04-01), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-01), 10-K (reporting date: 2021-07-02), 10-Q (reporting date: 2021-04-02), 10-Q (reporting date: 2021-01-01), 10-Q (reporting date: 2020-10-02), 10-K (reporting date: 2020-07-03), 10-Q (reporting date: 2020-04-03), 10-Q (reporting date: 2020-01-03), 10-Q (reporting date: 2019-10-04), 10-K (reporting date: 2019-06-28), 10-Q (reporting date: 2019-03-29), 10-Q (reporting date: 2018-12-28), 10-Q (reporting date: 2018-09-28).
1 Q2 2024 Calculation
Working capital turnover
= (Revenue, netQ2 2024
+ Revenue, netQ1 2024
+ Revenue, netQ4 2023
+ Revenue, netQ3 2023)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
- Working Capital
- The working capital shows a generally declining trend over the observed periods. It started at a high of 6186 million USD and steadily decreased with occasional minor fluctuations, reaching a low point of 1785 million USD near the end of the period before a slight recovery to 3145 million USD. This decline suggests tightening short-term liquidity or changes in current assets and liabilities management.
- Revenue, Net
- Net revenue experienced variability with a moderate downward trend overall. It began at 5028 million USD and decreased through several periods, with some intermittent recoveries. The revenue dropped more noticeably in the latest quarters to around 2672 to 3032 million USD, indicating potential challenges in sales or market demand during these quarters.
- Working Capital Turnover
- The working capital turnover ratio demonstrates volatility but an overall increasing trajectory for most of the periods. Starting at 3.31, the ratio peaked near 6.35 before a significant decline to 3.58 in the final period. Higher turnover ratios generally indicate more efficient use of working capital to generate revenue, while the sharp drop at the end may point to changes in operational efficiency or capital structure.
- Overall Analysis
- Despite declining working capital and net revenue facing downward pressure, the working capital turnover ratio mostly increased, suggesting improved efficiency in converting working capital into sales in many periods. However, recent declines in both working capital and turnover ratio could highlight emerging operational or financial strains. The mixed trends warrant further examination into cash management, receivables, inventory levels, and market conditions impacting revenue streams.
Average Inventory Processing Period
| Dec 29, 2023 | Sep 29, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 30, 2022 | Sep 30, 2022 | Jul 1, 2022 | Apr 1, 2022 | Dec 31, 2021 | Oct 1, 2021 | Jul 2, 2021 | Apr 2, 2021 | Jan 1, 2021 | Oct 2, 2020 | Jul 3, 2020 | Apr 3, 2020 | Jan 3, 2020 | Oct 4, 2019 | Jun 28, 2019 | Mar 29, 2019 | Dec 28, 2018 | Sep 28, 2018 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Inventory turnover | |||||||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
| Average inventory processing period1 | |||||||||||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||||||
| Apple Inc. | |||||||||||||||||||||||||||||
| Arista Networks Inc. | |||||||||||||||||||||||||||||
| Cisco Systems Inc. | |||||||||||||||||||||||||||||
| Dell Technologies Inc. | |||||||||||||||||||||||||||||
| Super Micro Computer Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-12-29), 10-Q (reporting date: 2023-09-29), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-30), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-07-01), 10-Q (reporting date: 2022-04-01), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-01), 10-K (reporting date: 2021-07-02), 10-Q (reporting date: 2021-04-02), 10-Q (reporting date: 2021-01-01), 10-Q (reporting date: 2020-10-02), 10-K (reporting date: 2020-07-03), 10-Q (reporting date: 2020-04-03), 10-Q (reporting date: 2020-01-03), 10-Q (reporting date: 2019-10-04), 10-K (reporting date: 2019-06-28), 10-Q (reporting date: 2019-03-29), 10-Q (reporting date: 2018-12-28), 10-Q (reporting date: 2018-09-28).
1 Q2 2024 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Inventory Turnover Ratio
- The inventory turnover ratio demonstrates moderate fluctuations over the analyzed quarters. Initially, it starts at 4.18 and experiences a slight decline, reaching a low of 3.33 around the first quarter of 2021. Subsequently, a gradual recovery is observed, with the ratio ascending back to 3.6 by early 2022. Following this period, the ratio declines again, hitting its lowest value of 2.75 in the first quarter of 2023 before showing some improvement toward the year-end, rising to 3.2. This pattern indicates variability in how efficiently inventory is being converted into sales, with periods of slower turnover especially evident in recent quarters.
- Average Inventory Processing Period
- There is an inverse relationship between the inventory turnover ratio and the average inventory processing period, as expected. The number of days inventory remains held increases over time, moving from 87 days to a peak of 133 days in early 2023. This prolonged holding period suggests a slowdown in inventory movement. After this peak, a slight decrease to 114 days is noted toward the end of 2023, indicating some improvement in inventory management or demand conditions. The increasing trend, particularly in late 2022 and early 2023, may reflect challenges in selling inventory or possible overstocking.
- Overall Observations
- The data reflects periods of both declining and improving efficiency in inventory management. The earlier years show relatively stable turnover ratios with moderate inventory days, while later years display a clear trend toward slower inventory movement and longer holding periods. The partial recovery toward the end suggests possible adjustments or market recoveries. These trends warrant continued monitoring, as sustained higher inventory days could impact working capital and operational efficiency.
Average Receivable Collection Period
| Dec 29, 2023 | Sep 29, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 30, 2022 | Sep 30, 2022 | Jul 1, 2022 | Apr 1, 2022 | Dec 31, 2021 | Oct 1, 2021 | Jul 2, 2021 | Apr 2, 2021 | Jan 1, 2021 | Oct 2, 2020 | Jul 3, 2020 | Apr 3, 2020 | Jan 3, 2020 | Oct 4, 2019 | Jun 28, 2019 | Mar 29, 2019 | Dec 28, 2018 | Sep 28, 2018 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Receivables turnover | |||||||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
| Average receivable collection period1 | |||||||||||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||
| Apple Inc. | |||||||||||||||||||||||||||||
| Arista Networks Inc. | |||||||||||||||||||||||||||||
| Cisco Systems Inc. | |||||||||||||||||||||||||||||
| Dell Technologies Inc. | |||||||||||||||||||||||||||||
| Super Micro Computer Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-12-29), 10-Q (reporting date: 2023-09-29), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-30), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-07-01), 10-Q (reporting date: 2022-04-01), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-01), 10-K (reporting date: 2021-07-02), 10-Q (reporting date: 2021-04-02), 10-Q (reporting date: 2021-01-01), 10-Q (reporting date: 2020-10-02), 10-K (reporting date: 2020-07-03), 10-Q (reporting date: 2020-04-03), 10-Q (reporting date: 2020-01-03), 10-Q (reporting date: 2019-10-04), 10-K (reporting date: 2019-06-28), 10-Q (reporting date: 2019-03-29), 10-Q (reporting date: 2018-12-28), 10-Q (reporting date: 2018-09-28).
1 Q2 2024 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Receivables Turnover
- The receivables turnover ratio exhibited notable fluctuations across the observed periods. Starting at 9.24 in late September 2018, the ratio climbed to a peak of 14.76 by March 2019, indicating an improvement in the efficiency of collecting receivables during this timeframe. Subsequently, a downward trend followed, with the ratio declining to lower levels between 6.7 and 8.27 in the later periods, indicating a reduction in collection efficiency relative to earlier peaks. In the most recent quarters, the ratio remained relatively stable, fluctuating between 7.39 and 8.27, suggesting a moderate pace in receivable turnover.
- Average Receivable Collection Period
- The average receivable collection period displayed an inverse pattern relative to the receivables turnover ratio, as expected. Initially, the collection period decreased from 40 days in September 2018 to a low of 25 days by March 2019, reflecting faster collections. Thereafter, the average days extended progressively, reaching peaks around 52-54 days in mid-2020 and early 2022, indicating slower collections. More recently, the collection period stabilized in the range of approximately 44 to 49 days, which is longer than the starting periods but indicates a consistent collection duration in the latter timeframe.
- Summary of Trends
- Overall, the data reveal an initial phase of improving receivables management efficiency, as demonstrated by increasing turnover and decreasing collection days. This positive trend reversed after the first quarter of 2019, with turnover ratios declining and collection periods lengthening, pointing to a decrease in the effectiveness of receivables collection. In the most recent quarters, these metrics have stabilized at moderate levels, suggesting the company is maintaining a consistent, though less aggressive, collection process compared to the earlier strong performance.
Operating Cycle
| Dec 29, 2023 | Sep 29, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 30, 2022 | Sep 30, 2022 | Jul 1, 2022 | Apr 1, 2022 | Dec 31, 2021 | Oct 1, 2021 | Jul 2, 2021 | Apr 2, 2021 | Jan 1, 2021 | Oct 2, 2020 | Jul 3, 2020 | Apr 3, 2020 | Jan 3, 2020 | Oct 4, 2019 | Jun 28, 2019 | Mar 29, 2019 | Dec 28, 2018 | Sep 28, 2018 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Average inventory processing period | |||||||||||||||||||||||||||||
| Average receivable collection period | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Operating cycle1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||||||||
| Apple Inc. | |||||||||||||||||||||||||||||
| Arista Networks Inc. | |||||||||||||||||||||||||||||
| Cisco Systems Inc. | |||||||||||||||||||||||||||||
| Dell Technologies Inc. | |||||||||||||||||||||||||||||
| Super Micro Computer Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-12-29), 10-Q (reporting date: 2023-09-29), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-30), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-07-01), 10-Q (reporting date: 2022-04-01), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-01), 10-K (reporting date: 2021-07-02), 10-Q (reporting date: 2021-04-02), 10-Q (reporting date: 2021-01-01), 10-Q (reporting date: 2020-10-02), 10-K (reporting date: 2020-07-03), 10-Q (reporting date: 2020-04-03), 10-Q (reporting date: 2020-01-03), 10-Q (reporting date: 2019-10-04), 10-K (reporting date: 2019-06-28), 10-Q (reporting date: 2019-03-29), 10-Q (reporting date: 2018-12-28), 10-Q (reporting date: 2018-09-28).
1 Q2 2024 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
- Average Inventory Processing Period
- The average inventory processing period exhibits fluctuations over the presented quarters. Initially, it increased from 87 days to a peak of 110 days around the first quarter of 2021. Following this peak, a gradual decline is observed, with minor variations, until it rises again, reaching up to 133 days by the third quarter of 2023. The trend suggests periods of inventory holding lengthening, indicative of slower inventory turnover in recent quarters compared to earlier periods.
- Average Receivable Collection Period
- The average receivable collection period demonstrates variability without a clear long-term directional trend. It started at 40 days and showed a decline to 25 days by the first quarter of 2019, indicating more efficient collections during that time. Subsequently, it increased, reaching around 53 days by the end of 2021, then oscillated in the range of mid-40s to low 50s in subsequent periods. This pattern indicates fluctuating efficiency in collecting receivables, with occasional slowdowns.
- Operating Cycle
- The operating cycle has shown a general upward trend from 127 days at the starting point to a peak around 176 days by the third quarter of 2023. There are steady increases reflecting a lengthening cycle over time, with the operating cycle closely mirroring changes in both inventory processing and receivable collection periods. This suggests a gradual elongation in the company's cash conversion cycle, indicating more capital tied up in working capital components for longer periods.
Average Payables Payment Period
| Dec 29, 2023 | Sep 29, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 30, 2022 | Sep 30, 2022 | Jul 1, 2022 | Apr 1, 2022 | Dec 31, 2021 | Oct 1, 2021 | Jul 2, 2021 | Apr 2, 2021 | Jan 1, 2021 | Oct 2, 2020 | Jul 3, 2020 | Apr 3, 2020 | Jan 3, 2020 | Oct 4, 2019 | Jun 28, 2019 | Mar 29, 2019 | Dec 28, 2018 | Sep 28, 2018 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Payables turnover | |||||||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
| Average payables payment period1 | |||||||||||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | |||||||||||||||||||||||||||||
| Apple Inc. | |||||||||||||||||||||||||||||
| Arista Networks Inc. | |||||||||||||||||||||||||||||
| Cisco Systems Inc. | |||||||||||||||||||||||||||||
| Dell Technologies Inc. | |||||||||||||||||||||||||||||
| Super Micro Computer Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-12-29), 10-Q (reporting date: 2023-09-29), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-30), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-07-01), 10-Q (reporting date: 2022-04-01), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-01), 10-K (reporting date: 2021-07-02), 10-Q (reporting date: 2021-04-02), 10-Q (reporting date: 2021-01-01), 10-Q (reporting date: 2020-10-02), 10-K (reporting date: 2020-07-03), 10-Q (reporting date: 2020-04-03), 10-Q (reporting date: 2020-01-03), 10-Q (reporting date: 2019-10-04), 10-K (reporting date: 2019-06-28), 10-Q (reporting date: 2019-03-29), 10-Q (reporting date: 2018-12-28), 10-Q (reporting date: 2018-09-28).
1 Q2 2024 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Payables Turnover Ratio
-
The payables turnover ratio exhibits fluctuations over the observed periods, starting at 6.27 and reaching a peak of 9.74 in December 2022 before declining to 6.84 by the end of 2023. Initially, there is an upward trend from 6.27 in September 2018 to around 8.19 in March 2019, indicating faster payment of payables during this time. Subsequently, the ratio generally declines and stabilizes around the mid-6 to mid-7 range through most of 2020 and 2021. The marked increase to 9.74 in late 2022 suggests a significant acceleration in the payment rate, followed by a gradual reduction thereafter.
- Average Payables Payment Period (Number of Days)
-
The average payables payment period generally moves inversely to the payables turnover ratio, as expected. It begins at 58 days in September 2018, decreasing to a low of approximately 45 days by early 2019 and maintaining a range close to 50-57 days through 2019 to 2021. A notable decrease to 37 days is observed in December 2022, coinciding with the peak in the payables turnover ratio at the same time. After this point, the payment period lengthens slightly to between 44 and 53 days at the end of 2023. These fluctuations suggest variability in payment practices, with a tendency for more prompt payments during late 2022, followed by a modest relaxation of payment terms going into 2023.
- Overall Analysis
-
The data indicates a dynamic approach to payables management over the period examined. Periods of higher payables turnover and shorter payment periods hint at increased liquidity or strategic decisions to expedite payments, possibly to take advantage of favorable supplier terms or market conditions. Conversely, the normalization and slight lengthening of payment periods after December 2022 may reflect adjustments to working capital management in response to changing business or economic factors. The trends underscore a balance between maintaining supplier relationships and optimizing cash flow.
Cash Conversion Cycle
| Dec 29, 2023 | Sep 29, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 30, 2022 | Sep 30, 2022 | Jul 1, 2022 | Apr 1, 2022 | Dec 31, 2021 | Oct 1, 2021 | Jul 2, 2021 | Apr 2, 2021 | Jan 1, 2021 | Oct 2, 2020 | Jul 3, 2020 | Apr 3, 2020 | Jan 3, 2020 | Oct 4, 2019 | Jun 28, 2019 | Mar 29, 2019 | Dec 28, 2018 | Sep 28, 2018 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | |||||||||||||||||||||||||||||
| Apple Inc. | |||||||||||||||||||||||||||||
| Arista Networks Inc. | |||||||||||||||||||||||||||||
| Cisco Systems Inc. | |||||||||||||||||||||||||||||
| Dell Technologies Inc. | |||||||||||||||||||||||||||||
| Super Micro Computer Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-12-29), 10-Q (reporting date: 2023-09-29), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-30), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-07-01), 10-Q (reporting date: 2022-04-01), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-10-01), 10-K (reporting date: 2021-07-02), 10-Q (reporting date: 2021-04-02), 10-Q (reporting date: 2021-01-01), 10-Q (reporting date: 2020-10-02), 10-K (reporting date: 2020-07-03), 10-Q (reporting date: 2020-04-03), 10-Q (reporting date: 2020-01-03), 10-Q (reporting date: 2019-10-04), 10-K (reporting date: 2019-06-28), 10-Q (reporting date: 2019-03-29), 10-Q (reporting date: 2018-12-28), 10-Q (reporting date: 2018-09-28).
1 Q2 2024 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + – =
2 Click competitor name to see calculations.
- Inventory Processing Period
- The average inventory processing period demonstrates a generally upward trend over the analyzed timeframe. Starting at 87 days, it experienced fluctuations but reached a peak near 133 days around mid-2023 before slightly declining to 114 days by the end of 2023. This indicates increasing inventory holding durations, which may reflect changes in inventory management efficiency or supply chain conditions.
- Receivable Collection Period
- The average receivable collection period showed variability throughout the periods without a clear directional trend. Beginning at 40 days, it decreased to a low of 25 days by early 2019, then generally increased with some oscillations, peaking near 54 days in mid-2022. Towards the end of 2023, the period stabilized around 47-49 days. This suggests fluctuations in customer payment behaviors and credit management policies.
- Payables Payment Period
- The average payables payment period remained relatively stable but exhibited some variation. Initially, it declined from 58 days to a low of 45 days in early 2019, then fluctuated moderately before decreasing to 37 days in late 2022. It subsequently rose again to 53 days at the end of 2023. These changes indicate adjustments in the timing of supplier payments, potentially reflecting cash flow strategies or supplier negotiations.
- Cash Conversion Cycle
- The cash conversion cycle trended upwards over the period under review. It started at 69 days, increased gradually with some periodic fluctuations, and reached a high of 131 days in mid-2023 before declining to 110 days by the end of 2023. The overall increase signifies a longer duration between outlay of cash and cash recovery, mainly driven by extended inventory holding and receivables collection periods.