Stock Analysis on Net

Western Digital Corp. (NASDAQ:WDC)

This company has been moved to the archive! The financial data has not been updated since February 12, 2024.

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Western Digital Corp., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
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
Turnover Ratios
Inventory turnover 3.20 2.95 2.82 2.75 3.08 3.18 3.55 3.60 3.57 3.60 3.43 3.33 3.46 3.78 4.22 4.18 4.11 3.87 3.90 3.75 3.77 4.18
Receivables turnover 7.39 7.81 7.71 8.91 8.27 7.22 6.70 8.15 6.91 7.38 7.50 8.55 8.91 7.92 7.03 8.13 8.70 10.76 13.76 14.76 11.31 9.24
Payables turnover 6.84 7.98 8.07 8.37 9.74 7.29 6.79 7.18 6.45 6.73 6.41 6.78 6.38 6.51 6.66 7.23 7.40 7.39 8.18 8.19 6.70 6.27
Working capital turnover 3.58 6.35 5.02 4.40 3.94 4.26 4.46 4.01 4.11 3.51 3.46 3.60 3.56 3.63 3.61 3.94 3.76 3.70 3.56 3.85 3.60 3.31
Average No. Days
Average inventory processing period 114 124 129 133 119 115 103 101 102 101 106 110 105 96 86 87 89 94 93 97 97 87
Add: Average receivable collection period 49 47 47 41 44 51 54 45 53 49 49 43 41 46 52 45 42 34 27 25 32 40
Operating cycle 163 171 176 174 163 166 157 146 155 150 155 153 146 142 138 132 131 128 120 122 129 127
Less: Average payables payment period 53 46 45 44 37 50 54 51 57 54 57 54 57 56 55 50 49 49 45 45 54 58
Cash conversion cycle 110 125 131 130 126 116 103 95 98 96 98 99 89 86 83 82 82 79 75 77 75 69

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.

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Turnover Ratios


Average No. Days


Inventory Turnover

Western Digital Corp., inventory turnover calculation (quarterly data)

Microsoft Excel
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 2,540 2,651 2,580 2,517 2,579 2,755 3,083 3,200 3,250 3,386 3,354 3,046 2,983 3,018 3,204 3,170 3,299 3,282 3,169 3,095 3,189 3,364
Inventories 3,216 3,497 3,698 3,979 3,773 3,862 3,638 3,661 3,647 3,544 3,616 3,683 3,576 3,355 3,070 3,091 3,122 3,287 3,283 3,440 3,427 3,119
Short-term Activity Ratio
Inventory turnover1 3.20 2.95 2.82 2.75 3.08 3.18 3.55 3.60 3.57 3.60 3.43 3.33 3.46 3.78 4.22 4.18 4.11 3.87 3.90 3.75 3.77 4.18
Benchmarks
Inventory Turnover, Competitors2
Apple Inc. 33.32 32.57 33.82 29.54 29.24 32.36 45.20 40.43 40.07 36.69 32.37 39.55 37.48 36.21
Arista Networks Inc. 1.23 1.11 1.15 1.16 1.12 1.15 1.32 1.36 1.53 1.65
Cisco Systems Inc. 6.38 6.30 5.83 6.01 6.45 7.41 7.52 8.52 9.19 10.06 11.50 11.15 11.98 13.25
Dell Technologies Inc. 20.02 18.72 16.67 13.40 14.38 13.11 13.45 13.76 16.63 17.53
Lumentum Holdings Inc. 2.16 2.46 2.73 2.62 2.82 2.58 3.44 3.79 4.11 4.19 4.57 4.28 4.42 4.41
Super Micro Computer Inc. 3.14 2.97 4.04 3.49 3.84 2.88 2.84 2.50 2.58 2.77 2.90 3.18 3.39 3.59

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
= (2,540 + 2,651 + 2,580 + 2,517) ÷ 3,216 = 3.20

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.

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Receivables Turnover

Western Digital Corp., receivables turnover calculation (quarterly data)

Microsoft Excel
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 3,032 2,750 2,672 2,803 3,107 3,736 4,528 4,381 4,833 5,051 4,920 4,137 3,943 3,922 4,287 4,175 4,234 4,040 3,634 3,674 4,233 5,028
Accounts receivable, net 1,523 1,451 1,598 1,591 1,905 2,422 2,804 2,353 2,743 2,446 2,257 1,905 1,833 2,097 2,379 1,978 1,791 1,448 1,204 1,223 1,715 2,219
Short-term Activity Ratio
Receivables turnover1 7.39 7.81 7.71 8.91 8.27 7.22 6.70 8.15 6.91 7.38 7.50 8.55 8.91 7.92 7.03 8.13 8.70 10.76 13.76 14.76 11.31 9.24
Benchmarks
Receivables Turnover, Competitors2
Apple Inc. 17.48 16.63 12.99 19.64 21.47 16.32 13.99 17.77 18.55 12.52 13.92 19.87 17.59 10.85
Arista Networks Inc. 5.14 5.58 5.72 6.71 6.75 5.63 4.75 6.03 5.98 4.87
Cisco Systems Inc. 11.72 12.01 9.74 10.76 10.15 9.61 7.79 8.92 8.59 9.57 8.64 11.04 11.15 12.08
Dell Technologies Inc. 9.04 10.33 8.20 9.21 7.96 8.85 7.84 7.01 7.46 8.70
Lumentum Holdings Inc. 5.79 7.17 7.18 6.54 5.54 5.20 6.54 6.95 7.14 6.61 8.19 7.65 6.15 6.38
Super Micro Computer Inc. 6.16 8.74 6.20 9.78 8.65 8.17 6.23 6.81 8.38 8.36 7.67 8.31 10.10 10.23

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
= (3,032 + 2,750 + 2,672 + 2,803) ÷ 1,523 = 7.39

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.

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Payables Turnover

Western Digital Corp., payables turnover calculation (quarterly data)

Microsoft Excel
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 2,540 2,651 2,580 2,517 2,579 2,755 3,083 3,200 3,250 3,386 3,354 3,046 2,983 3,018 3,204 3,170 3,299 3,282 3,169 3,095 3,189 3,364
Accounts payable 1,504 1,294 1,293 1,307 1,193 1,686 1,902 1,836 2,022 1,896 1,934 1,807 1,939 1,949 1,945 1,786 1,736 1,724 1,567 1,577 1,925 2,081
Short-term Activity Ratio
Payables turnover1 6.84 7.98 8.07 8.37 9.74 7.29 6.79 7.18 6.45 6.73 6.41 6.78 6.38 6.51 6.66 7.23 7.40 7.39 8.18 8.19 6.70 6.27
Benchmarks
Payables Turnover, Competitors2
Apple Inc. 4.54 3.65 3.42 4.65 5.10 3.81 3.49 4.54 4.15 2.90 3.89 5.07 4.88 2.82
Arista Networks Inc. 7.63 10.09 5.13 8.16 5.95 5.84 7.33 5.39 4.74 5.61
Cisco Systems Inc. 11.08 10.11 9.19 8.55 8.69 8.53 8.47 8.31 9.00 8.15 7.59 7.22 9.22 7.53
Dell Technologies Inc. 3.59 4.22 4.28 3.67 3.34 3.22 2.92 2.80 3.05 3.11
Lumentum Holdings Inc. 6.26 7.83 6.57 5.41 5.03 4.59 5.50 6.70 7.24 8.53 7.68 8.62 8.22 6.42
Super Micro Computer Inc. 6.13 5.63 7.52 8.38 9.76 6.38 6.71 5.09 5.18 5.82 4.94 6.18 6.91 8.33

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
= (2,540 + 2,651 + 2,580 + 2,517) ÷ 1,504 = 6.84

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.

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Working Capital Turnover

Western Digital Corp., working capital turnover calculation (quarterly data)

Microsoft Excel
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 7,838 7,577 7,886 8,483 8,381 9,071 9,453 9,178 9,535 9,856 9,757 9,032 9,109 9,005 9,048 8,553 8,627 8,500 8,477 8,902 9,742 10,571
Less: Current liabilities 4,693 5,792 5,434 5,261 4,382 4,966 5,237 4,397 4,929 4,709 4,870 4,501 4,526 4,429 4,406 4,471 4,482 4,288 3,817 4,212 4,350 4,385
Working capital 3,145 1,785 2,452 3,222 3,999 4,105 4,216 4,781 4,606 5,147 4,887 4,531 4,583 4,576 4,642 4,082 4,145 4,212 4,660 4,690 5,392 6,186
 
Revenue, net 3,032 2,750 2,672 2,803 3,107 3,736 4,528 4,381 4,833 5,051 4,920 4,137 3,943 3,922 4,287 4,175 4,234 4,040 3,634 3,674 4,233 5,028
Short-term Activity Ratio
Working capital turnover1 3.58 6.35 5.02 4.40 3.94 4.26 4.46 4.01 4.11 3.51 3.46 3.60 3.56 3.63 3.61 3.94 3.76 3.70 3.56 3.85 3.60 3.31
Benchmarks
Working Capital Turnover, Competitors2
Apple Inc. 83.07 39.69 67.80 39.10 52.06 21.58 13.62
Arista Networks Inc. 0.82 0.85 0.90 0.96 1.01 1.04 1.03 1.04 1.01 0.85
Cisco Systems Inc. 5.08 4.60 4.73 4.89 4.72 4.65 4.65 4.36 4.74 3.54 3.88 3.82 2.89 3.00
Dell Technologies Inc.
Lumentum Holdings Inc. 1.02 0.75 0.82 1.07 1.09 1.08 0.71 0.69 0.91 0.96 0.98 0.91 1.05 0.90
Super Micro Computer Inc. 3.25 3.76 3.95 4.05 3.84 3.94 3.89 3.91 3.81 4.09 3.96 3.95 3.74 3.71

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
= (3,032 + 2,750 + 2,672 + 2,803) ÷ 3,145 = 3.58

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.

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Average Inventory Processing Period

Western Digital Corp., average inventory processing period calculation (quarterly data)

Microsoft Excel
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 3.20 2.95 2.82 2.75 3.08 3.18 3.55 3.60 3.57 3.60 3.43 3.33 3.46 3.78 4.22 4.18 4.11 3.87 3.90 3.75 3.77 4.18
Short-term Activity Ratio (no. days)
Average inventory processing period1 114 124 129 133 119 115 103 101 102 101 106 110 105 96 86 87 89 94 93 97 97 87
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Apple Inc. 11 11 11 12 12 11 8 9 9 10 11 9 10 10
Arista Networks Inc. 298 328 318 315 325 318 276 268 239 221
Cisco Systems Inc. 57 58 63 61 57 49 49 43 40 36 32 33 30 28
Dell Technologies Inc. 18 19 22 27 25 28 27 27 22 21
Lumentum Holdings Inc. 169 148 134 139 129 142 106 96 89 87 80 85 83 83
Super Micro Computer Inc. 116 123 90 105 95 127 128 146 141 132 126 115 108 102

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 ÷ 3.20 = 114

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.

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Average Receivable Collection Period

Western Digital Corp., average receivable collection period calculation (quarterly data)

Microsoft Excel
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 7.39 7.81 7.71 8.91 8.27 7.22 6.70 8.15 6.91 7.38 7.50 8.55 8.91 7.92 7.03 8.13 8.70 10.76 13.76 14.76 11.31 9.24
Short-term Activity Ratio (no. days)
Average receivable collection period1 49 47 47 41 44 51 54 45 53 49 49 43 41 46 52 45 42 34 27 25 32 40
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Apple Inc. 21 22 28 19 17 22 26 21 20 29 26 18 21 34
Arista Networks Inc. 71 65 64 54 54 65 77 61 61 75
Cisco Systems Inc. 31 30 37 34 36 38 47 41 43 38 42 33 33 30
Dell Technologies Inc. 40 35 45 40 46 41 47 52 49 42
Lumentum Holdings Inc. 63 51 51 56 66 70 56 53 51 55 45 48 59 57
Super Micro Computer Inc. 59 42 59 37 42 45 59 54 44 44 48 44 36 36

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 ÷ 7.39 = 49

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.

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Operating Cycle

Western Digital Corp., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
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 114 124 129 133 119 115 103 101 102 101 106 110 105 96 86 87 89 94 93 97 97 87
Average receivable collection period 49 47 47 41 44 51 54 45 53 49 49 43 41 46 52 45 42 34 27 25 32 40
Short-term Activity Ratio
Operating cycle1 163 171 176 174 163 166 157 146 155 150 155 153 146 142 138 132 131 128 120 122 129 127
Benchmarks
Operating Cycle, Competitors2
Apple Inc. 32 33 39 31 29 33 34 30 29 39 37 27 31 44
Arista Networks Inc. 369 393 382 369 379 383 353 329 300 296
Cisco Systems Inc. 88 88 100 95 93 87 96 84 83 74 74 66 63 58
Dell Technologies Inc. 58 54 67 67 71 69 74 79 71 63
Lumentum Holdings Inc. 232 199 185 195 195 212 162 149 140 142 125 133 142 140
Super Micro Computer Inc. 175 165 149 142 137 172 187 200 185 176 174 159 144 138

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
= 114 + 49 = 163

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.

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Average Payables Payment Period

Western Digital Corp., average payables payment period calculation (quarterly data)

Microsoft Excel
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 6.84 7.98 8.07 8.37 9.74 7.29 6.79 7.18 6.45 6.73 6.41 6.78 6.38 6.51 6.66 7.23 7.40 7.39 8.18 8.19 6.70 6.27
Short-term Activity Ratio (no. days)
Average payables payment period1 53 46 45 44 37 50 54 51 57 54 57 54 57 56 55 50 49 49 45 45 54 58
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Apple Inc. 80 100 107 79 72 96 105 80 88 126 94 72 75 129
Arista Networks Inc. 48 36 71 45 61 62 50 68 77 65
Cisco Systems Inc. 33 36 40 43 42 43 43 44 41 45 48 51 40 48
Dell Technologies Inc. 102 86 85 99 109 113 125 130 120 117
Lumentum Holdings Inc. 58 47 56 67 72 80 66 54 50 43 48 42 44 57
Super Micro Computer Inc. 60 65 49 44 37 57 54 72 70 63 74 59 53 44

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 ÷ 6.84 = 53

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.

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Cash Conversion Cycle

Western Digital Corp., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
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 114 124 129 133 119 115 103 101 102 101 106 110 105 96 86 87 89 94 93 97 97 87
Average receivable collection period 49 47 47 41 44 51 54 45 53 49 49 43 41 46 52 45 42 34 27 25 32 40
Average payables payment period 53 46 45 44 37 50 54 51 57 54 57 54 57 56 55 50 49 49 45 45 54 58
Short-term Activity Ratio
Cash conversion cycle1 110 125 131 130 126 116 103 95 98 96 98 99 89 86 83 82 82 79 75 77 75 69
Benchmarks
Cash Conversion Cycle, Competitors2
Apple Inc. -48 -67 -68 -48 -43 -63 -71 -50 -59 -87 -57 -45 -44 -85
Arista Networks Inc. 321 357 311 324 318 321 303 261 223 231
Cisco Systems Inc. 55 52 60 52 51 44 53 40 42 29 26 15 23 10
Dell Technologies Inc. -44 -32 -18 -32 -38 -44 -51 -51 -49 -54
Lumentum Holdings Inc. 174 152 129 128 123 132 96 95 90 99 77 91 98 83
Super Micro Computer Inc. 115 100 100 98 100 115 133 128 115 113 100 100 91 94

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
= 114 + 4953 = 110

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.

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