Stock Analysis on Net

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Apple Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Sep 27, 2025 Jun 28, 2025 Mar 29, 2025 Dec 28, 2024 Sep 28, 2024 Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Sep 24, 2022 Jun 25, 2022 Mar 26, 2022 Dec 25, 2021 Sep 25, 2021 Jun 26, 2021 Mar 27, 2021 Dec 26, 2020
Turnover Ratios
Inventory turnover 38.64 36.77 34.08 30.63 28.87 33.80 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
Receivables turnover 10.46 14.83 15.32 13.35 11.70 16.92 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
Payables turnover 3.16 4.33 3.95 3.42 3.05 4.38 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
Working capital turnover 83.07 39.69 67.80 39.10 52.06 21.58 13.62
Average No. Days
Average inventory processing period 9 10 11 12 13 11 11 11 11 12 12 11 8 9 9 10 11 9 10 10
Add: Average receivable collection period 35 25 24 27 31 22 21 22 28 19 17 22 26 21 20 29 26 18 21 34
Operating cycle 44 35 35 39 44 33 32 33 39 31 29 33 34 30 29 39 37 27 31 44
Less: Average payables payment period 115 84 92 107 120 83 80 100 107 79 72 96 105 80 88 126 94 72 75 129
Cash conversion cycle -71 -49 -57 -68 -76 -50 -48 -67 -68 -48 -43 -63 -71 -50 -59 -87 -57 -45 -44 -85

Based on: 10-K (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26).


Inventory Turnover
The inventory turnover ratio exhibits notable fluctuations throughout the periods observed. Initially, it rises from 36.21 to a peak of 45.20 before declining sharply to levels below 30 in several quarters, such as 29.24 and 28.87. Subsequently, it demonstrates a gradual recovery toward the end of the timeline, reaching 38.64. These variations indicate periods of both increased efficiency in managing inventory and phases where turnover slowed, potentially reflecting changes in sales volume or inventory management strategies.
Receivables Turnover
This ratio shows considerable volatility, with values ranging from a low of 10.46 to a high of 21.47. Early in the dataset, receivables turnover increases significantly, reaching nearly 20, then alternates between declines and recoveries. Toward the final periods, there appears to be a declining trend, signaling a possible extension in the collection period or more lenient credit policies.
Payables Turnover
The payables turnover ratio similarly fluctuates, with peaks around 5.10 and troughs close to 2.82 and 2.90. The pattern indicates variability in the company's pace of settling obligations to suppliers, which may be influenced by cash flow management or supplier terms adjustments.
Working Capital Turnover
Available data shows marked spikes, with values such as 52.06 and an exceptionally high 83.07, alongside a value of 39.69. These peaks suggest intervals of highly efficient use of working capital to generate sales. However, the incompleteness of this data limits comprehensive trend interpretation in this area.
Average Inventory Processing Period
This metric remains fairly stable, oscillating mostly between 8 and 13 days, with occasional slight increases such as 13 days around mid-2024. Stability in this period suggests consistent inventory handling practices with minor seasonal or operational variations.
Average Receivable Collection Period
The receivable collection period displays a varied pattern, decreasing sharply early on from 34 to 18 days, followed by recurring increases and decreases, eventually returning to higher values around 35 days in later periods. This inconsistency denotes changing effectiveness in receivables management and possibly varying customer payment behaviors.
Operating Cycle
The operating cycle closely mirrors the behaviors of inventory and receivables periods, ranging from a low of 27 days to a high of 44 days. Periods of shorter cycles indicate improved cash flow efficiency, while longer cycles suggest slower conversion of inventory and receivables into cash.
Average Payables Payment Period
The payables payment period varies substantially, with extreme values such as 129 and 126 days and lows around 72 days. This wide range reflects significant shifts in payment strategies or supplier negotiation outcomes, possibly used to manage liquidity.
Cash Conversion Cycle
The cash conversion cycle remains negative throughout the periods, indicating that payables are paid after inventory and receivables turnover, enhancing cash flow. However, its magnitude fluctuates between -85 and -43 days. Larger negative values correspond to more favorable conditions for working capital management, whereas lesser negatives might signal tighter liquidity management phases.
Summary
Overall, the financial ratios illustrate a dynamic environment with fluctuating efficiencies in working capital components. Inventory management shows resilience with moderate variation, while receivables turnover and collection periods highlight variability in credit management. Payables management appears strategic, with extended payment periods contributing to consistently negative cash conversion cycles, which favor liquidity position. The data suggests ongoing adjustments in operational and financial policies, likely in response to market conditions and company priorities.

Turnover Ratios


Average No. Days


Inventory Turnover

Apple Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Sep 27, 2025 Jun 28, 2025 Mar 29, 2025 Dec 28, 2024 Sep 28, 2024 Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Sep 24, 2022 Jun 25, 2022 Mar 26, 2022 Dec 25, 2021 Sep 25, 2021 Jun 26, 2021 Mar 27, 2021 Dec 26, 2020
Selected Financial Data (US$ in millions)
Cost of sales 54,125 50,318 50,492 66,025 51,051 46,099 48,482 64,720 49,071 45,384 52,860 66,822 52,051 47,074 54,719 69,702 48,186 46,179 51,505 67,111
Inventories 5,718 5,925 6,269 6,911 7,286 6,165 6,232 6,511 6,331 7,351 7,482 6,820 4,946 5,433 5,460 5,876 6,580 5,178 5,219 4,973
Short-term Activity Ratio
Inventory turnover1 38.64 36.77 34.08 30.63 28.87 33.80 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
Benchmarks
Inventory Turnover, Competitors2
Arista Networks Inc. 1.40 1.38 1.36 1.37 1.33 1.23 1.11 1.15 1.16 1.12 1.15 1.32 1.36 1.53 1.65 1.64 1.74 1.75 1.85
Cisco Systems Inc. 6.28 6.83 6.45 5.91 5.63 6.28 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. 11.07 10.99 11.95 14.44 18.65 20.66 20.02 18.72 16.67 13.40 14.38 13.11 13.45 13.76 16.63 17.53 19.05 18.62 17.40 17.47
Super Micro Computer Inc. 4.18 4.94 5.07 3.31 2.98 2.41 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-K (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26).

1 Q4 2025 Calculation
Inventory turnover = (Cost of salesQ4 2025 + Cost of salesQ3 2025 + Cost of salesQ2 2025 + Cost of salesQ1 2025) ÷ Inventories
= (54,125 + 50,318 + 50,492 + 66,025) ÷ 5,718 = 38.64

2 Click competitor name to see calculations.


The analysis of the quarterly financial data reveals several notable trends related to the cost of sales, inventories, and inventory turnover ratios over the examined periods.

Cost of Sales

The cost of sales exhibited a fluctuating pattern throughout the periods. Initially, there was a notable decrease from $67,111 million to $46,179 million between December 2020 and June 2021. This was followed by an increase to $69,702 million by December 2021. Subsequently, the cost of sales showed a cyclical trend with alternating decreases and increases around the $50,000 to $66,000 million range up to September 2025.

This variability suggests seasonal or operational factors influencing production costs or sales volume, with peaks typically occurring near the year-end quarters.

Inventories

Inventory levels displayed moderate fluctuations, generally ranging between approximately $4,900 million and $7,482 million. Trends indicate slight inventory build-ups in the year-end quarters, such as December 2022 ($6,820 million) and March 2023 ($7,482 million), followed by partial drawdowns in subsequent quarters.

These inventory movements may reflect inventory management practices responding to anticipated sales demand or supply chain considerations.

Inventory Turnover Ratio

The inventory turnover ratio, measuring how often inventory is sold and replaced over a period, varied from a high of 45.2 to a low near 28.87. A declining trend is observable during some stretches, for example, from 40.43 in June 2022 to 28.87 in September 2024. Conversely, periods such as late 2024 to 2025 show an improving turnover ratio, reaching 38.64 by September 2025.

This ratio indicates fluctuating efficiency in inventory utilization, with higher turnover suggesting better sales relative to inventory levels, while lower ratios imply slower movement. The variation may highlight dynamic adjustments in sales cycles or supply chain responsiveness.

Overall, the data reflect a dynamic operational environment characterized by periodic shifts in cost structure and inventory management efficiency. Seasonal patterns appear to influence fiscal quarters differently, impacting both cost of sales and inventory levels, while inventory turnover ratios suggest varying degrees of inventory management effectiveness over time.


Receivables Turnover

Apple Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Sep 27, 2025 Jun 28, 2025 Mar 29, 2025 Dec 28, 2024 Sep 28, 2024 Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Sep 24, 2022 Jun 25, 2022 Mar 26, 2022 Dec 25, 2021 Sep 25, 2021 Jun 26, 2021 Mar 27, 2021 Dec 26, 2020
Selected Financial Data (US$ in millions)
Net sales 102,466 94,036 95,359 124,300 94,930 85,777 90,753 119,575 89,498 81,797 94,836 117,154 90,146 82,959 97,278 123,945 83,360 81,434 89,584 111,439
Accounts receivable, net 39,777 27,557 26,136 29,639 33,410 22,795 21,837 23,194 29,508 19,549 17,936 23,752 28,184 21,803 20,815 30,213 26,278 17,475 18,503 27,101
Short-term Activity Ratio
Receivables turnover1 10.46 14.83 15.32 13.35 11.70 16.92 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
Benchmarks
Receivables Turnover, Competitors2
Arista Networks Inc. 5.67 4.90 5.18 6.14 5.85 5.14 5.58 5.72 6.71 6.75 5.63 4.75 6.03 5.98 4.87 5.71 7.01 7.22 6.47
Cisco Systems Inc. 8.45 10.54 9.56 11.89 8.05 10.80 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. 9.28 8.40 8.06 10.48 9.46 9.38 9.04 10.33 8.20 9.21 7.96 8.85 7.84 7.01 7.46 8.70 7.37 8.10 7.86 8.53
Super Micro Computer Inc. 9.97 8.16 6.80 6.88 5.48 7.16 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-K (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26).

1 Q4 2025 Calculation
Receivables turnover = (Net salesQ4 2025 + Net salesQ3 2025 + Net salesQ2 2025 + Net salesQ1 2025) ÷ Accounts receivable, net
= (102,466 + 94,036 + 95,359 + 124,300) ÷ 39,777 = 10.46

2 Click competitor name to see calculations.


Net Sales

Net sales exhibit a cyclical pattern with significant fluctuations over the observed quarters. Periods ending in December consistently show peak sales values, reaching over 120 billion US dollars in some years, which reflects strong seasonal performance likely aligned with holiday periods. Conversely, sales tend to decline in the first and second quarters, with values frequently dropping below 90 billion US dollars. Throughout the timeline, there is no clear linear growth or decline, but sales display a repeated seasonal recovery each fourth quarter, suggesting stable demand patterns with periodic dips after peak seasons.

Accounts Receivable, Net

The accounts receivable balance generally follows a similar seasonal trend as net sales, with higher amounts recorded in the fourth quarter of each year. This pattern indicates increased credit extended to customers during high sales periods. However, the receivables exhibit somewhat higher volatility compared to net sales, with some quarters showing sharper increases or decreases without a consistent growth trend. The peak values often coincide with peak net sales but can vary in magnitude, reflecting changes in credit policy, collection efficiency, or customer payment behavior over time.

Receivables Turnover Ratio

The receivables turnover ratio demonstrates notable fluctuations across the quarters, generally moving inversely with accounts receivable balances. Higher turnover values are observed in quarters when accounts receivable are lower, indicating more rapid collections during these periods. Conversely, turnover tends to decline in quarters where accounts receivable spike, implying slower collections. The ratio values range broadly, peaking above 20 in some quarters and dropping near 10 in others, which points to varying efficiency in receivables management or shifts in customer payment terms. The cyclical pattern aligns with seasonal sales trends, as turnover tends to decrease following periods of peak credit sales.

Overall Insights

The financial data indicates a strong seasonal influence on sales and related receivables. Both net sales and accounts receivable peak in the final quarter of each year, reflecting cyclical business activity. The accounts receivable and receivables turnover ratio exhibit inverse relationships, consistent with expected changes in collection efficiency relative to sales volume. No sustained long-term growth or decline trend is evident; instead, performance appears stable with recurring quarterly patterns. The variation in receivables turnover suggests management attention is needed to maintain or improve collection efficiency following high sales periods to optimize working capital utilization.


Payables Turnover

Apple Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Sep 27, 2025 Jun 28, 2025 Mar 29, 2025 Dec 28, 2024 Sep 28, 2024 Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Sep 24, 2022 Jun 25, 2022 Mar 26, 2022 Dec 25, 2021 Sep 25, 2021 Jun 26, 2021 Mar 27, 2021 Dec 26, 2020
Selected Financial Data (US$ in millions)
Cost of sales 54,125 50,318 50,492 66,025 51,051 46,099 48,482 64,720 49,071 45,384 52,860 66,822 52,051 47,074 54,719 69,702 48,186 46,179 51,505 67,111
Accounts payable 69,860 50,374 54,126 61,910 68,960 47,574 45,753 58,146 62,611 46,699 42,945 57,918 64,115 48,343 52,682 74,362 54,763 40,409 40,127 63,846
Short-term Activity Ratio
Payables turnover1 3.16 4.33 3.95 3.42 3.05 4.38 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
Benchmarks
Payables Turnover, Competitors2
Arista Networks Inc. 6.26 5.23 6.86 6.59 8.14 7.63 10.09 5.13 8.16 5.95 5.84 7.33 5.39 4.74 5.61 5.27 7.39 6.54 6.52
Cisco Systems Inc. 7.86 8.55 9.93 9.31 8.24 9.53 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. 3.57 3.12 2.95 3.35 3.48 3.59 3.59 4.22 4.28 3.67 3.34 3.22 2.92 2.80 3.05 3.11 2.99 3.19 3.21 3.43
Super Micro Computer Inc. 15.24 29.76 33.19 9.70 8.78 9.09 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-K (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26).

1 Q4 2025 Calculation
Payables turnover = (Cost of salesQ4 2025 + Cost of salesQ3 2025 + Cost of salesQ2 2025 + Cost of salesQ1 2025) ÷ Accounts payable
= (54,125 + 50,318 + 50,492 + 66,025) ÷ 69,860 = 3.16

2 Click competitor name to see calculations.


The analysis of the quarterly financial data reveals several notable trends and fluctuations across key metrics related to cost of sales, accounts payable, and payables turnover ratio over the observed periods.

Cost of Sales
The cost of sales exhibits a cyclical pattern with peaks and troughs corresponding roughly to yearly seasonal trends. Generally, the cost of sales rises towards the end of each calendar year and dips in the subsequent quarters, indicating potential seasonality in production or sales volume. For example, the highest values typically occur in the December quarters, such as US$ 69,702 million in Dec 2021 and US$ 66,025 million in Dec 2024, while lower values are more common in the mid-year quarters like June and March. There are occasional anomalies such as a drop from 69,702 million in Dec 2021 to 54,719 million in Mar 2022, which may reflect changes in inventory management, supply chain factors, or cost-saving initiatives.
Accounts Payable
Accounts payable figures also show a seasonal pattern, with peaks generally aligning with the December quarter and troughs in the early quarters of the year. The highest accounts payable balance was 74,362 million in Dec 2021, followed by a decline in early 2022, then fluctuating moderately in subsequent quarters. The synchronization between high payables and increased cost of sales around year-end suggests increased purchasing activity or deferred payments to suppliers at those times. There are also notable quarterly variations, such as a rise to 69,860 million in Sep 2025 following relatively lower values in previous quarters, which could indicate growing reliance on credit or extended payment terms.
Payables Turnover Ratio
The payables turnover ratio, indicating the frequency of payables settlement, also reflects a fluctuating yet cyclical trend. Higher turnover ratios typically occur in the first two quarters of each year, suggesting faster payment to suppliers during these periods. For example, peaks such as 5.1 in Apr 2023 and 5.07 in Jun 2021 demonstrate accelerated settlements. Conversely, lower turnover ratios occur towards the year-end quarters, such as 2.9 in Dec 2021 and 3.16 in Sep 2025, implying slower payments or longer credit periods. The ratio's oscillation suggests a strategic management of payables, possibly balancing cash flow preservation with supplier relationships seasonally.
Overall Insights
The interplay among cost of sales, accounts payable, and payables turnover ratios points to a strategic approach in managing supplier payments and inventory costs. The recurring seasonal peaks suggest a pattern consistent with business cycles, likely influenced by product launch schedules, holiday seasons, or fiscal year-end considerations. The fluctuations in payables turnover ratio further highlight adaptive payment strategies, possibly designed to optimize working capital. While peaks in accounts payable align with increased cost of sales periods, the variations in turnover ratios indicate a dynamic credit management approach responsive to cash flow needs.

Working Capital Turnover

Apple Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Sep 27, 2025 Jun 28, 2025 Mar 29, 2025 Dec 28, 2024 Sep 28, 2024 Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Sep 24, 2022 Jun 25, 2022 Mar 26, 2022 Dec 25, 2021 Sep 25, 2021 Jun 26, 2021 Mar 27, 2021 Dec 26, 2020
Selected Financial Data (US$ in millions)
Current assets 147,957 122,491 118,674 133,240 152,987 125,435 128,416 143,692 143,566 122,659 112,913 128,777 135,405 112,292 118,180 153,154 134,836 114,423 121,465 154,106
Less: Current liabilities 165,631 141,120 144,571 144,365 176,392 131,624 123,822 133,973 145,308 124,963 120,075 137,286 153,982 129,873 127,508 147,574 125,481 107,754 106,385 132,507
Working capital (17,674) (18,629) (25,897) (11,125) (23,405) (6,189) 4,594 9,719 (1,742) (2,304) (7,162) (8,509) (18,577) (17,581) (9,328) 5,580 9,355 6,669 15,080 21,599
 
Net sales 102,466 94,036 95,359 124,300 94,930 85,777 90,753 119,575 89,498 81,797 94,836 117,154 90,146 82,959 97,278 123,945 83,360 81,434 89,584 111,439
Short-term Activity Ratio
Working capital turnover1 83.07 39.69 67.80 39.10 52.06 21.58 13.62
Benchmarks
Working Capital Turnover, Competitors2
Arista Networks Inc. 0.80 0.84 0.81 0.76 0.78 0.82 0.85 0.90 0.96 1.01 1.04 1.03 1.04 1.01 0.85 0.80 0.76 0.76 0.77
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.
Super Micro Computer Inc. 2.21 2.67 2.85 2.69 2.28 1.86 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-K (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26).

1 Q4 2025 Calculation
Working capital turnover = (Net salesQ4 2025 + Net salesQ3 2025 + Net salesQ2 2025 + Net salesQ1 2025) ÷ Working capital
= (102,466 + 94,036 + 95,359 + 124,300) ÷ -17,674 =

2 Click competitor name to see calculations.


Working Capital
The working capital figures show significant fluctuations over the observed periods. Initially, there is a decline from 21,599 million USD in late December 2020 to 5,580 million USD by December 2021. Subsequently, the working capital turns negative starting in March 2022, reaching a low point around -23,405 million USD by September 2024. Although there are some intermittent moderate recoveries, the overall trend suggests increasing liquidity pressures or a shift toward higher current liabilities relative to current assets in later periods.
Net Sales
Net sales display a cyclical pattern with peaks generally observed near the end of each calendar year, consistent with seasonal trends. For instance, sales increase from 111,439 million USD in December 2020 to a peak of 123,945 million USD in December 2021, followed by a decrease in the subsequent quarters. This seasonal pattern repeats in the following years, with December quarters consistently producing higher net sales figures, such as 117,154 million USD in December 2022 and 124,300 million USD in December 2024. Overall, net sales maintain a relatively stable range from approximately 80,000 million USD to over 120,000 million USD per quarter, indicating sustained revenue performance with seasonal variability.
Working Capital Turnover
Working capital turnover ratios are provided for selected periods and show high values, suggesting efficient use of working capital to generate sales at these points. For example, a ratio of 67.8 in December 2021 indicates very high turnover, which could relate to lower working capital levels or strong sales. However, data for this ratio is missing in several periods, limiting comprehensive analysis. The available ratios, such as 39.69 and 83.07 in later periods, continue to reflect high turnover, which aligns with the observed low or negative working capital figures, suggesting a potentially aggressive working capital management strategy or short-term financial structuring.
Summary
The overall financial patterns reveal stable yet seasonally variable revenue, with peaks during year-end quarters. Conversely, working capital transitions from a positive balance to prolonged negative values over time, which may indicate increased operational leverage, shifts in asset-liability management, or changes in short-term financing strategies. Despite this, high working capital turnover ratios where available suggest efficient revenue generation relative to the capital employed, albeit with associated liquidity risks. Continuous monitoring of liquidity metrics is advisable to assess any impact on operational stability and financial flexibility.

Average Inventory Processing Period

Apple Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Sep 27, 2025 Jun 28, 2025 Mar 29, 2025 Dec 28, 2024 Sep 28, 2024 Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Sep 24, 2022 Jun 25, 2022 Mar 26, 2022 Dec 25, 2021 Sep 25, 2021 Jun 26, 2021 Mar 27, 2021 Dec 26, 2020
Selected Financial Data
Inventory turnover 38.64 36.77 34.08 30.63 28.87 33.80 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
Short-term Activity Ratio (no. days)
Average inventory processing period1 9 10 11 12 13 11 11 11 11 12 12 11 8 9 9 10 11 9 10 10
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Arista Networks Inc. 261 264 268 267 274 298 328 318 315 325 318 276 268 239 221 222 210 209 197
Cisco Systems Inc. 58 53 57 62 65 58 57 58 63 61 57 49 49 43 40 36 32 33 30 28
Dell Technologies Inc. 33 33 31 25 20 18 18 19 22 27 25 28 27 27 22 21 19 20 21 21
Super Micro Computer Inc. 87 74 72 110 122 152 116 123 90 105 95 127 128 146 141 132 126 115 108 102

Based on: 10-K (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26).

1 Q4 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 38.64 = 9

2 Click competitor name to see calculations.


Inventory Turnover
The inventory turnover ratio exhibits notable fluctuations over the observed periods. It peaked at 45.2 in September 2022, indicating a very high efficiency in inventory management during that quarter. Before this peak, the ratio generally increased from 36.21 in December 2020 to 40.43 in June 2022, showing improving turnover performance. However, subsequent to the peak, the ratio decreased sharply to 32.36 in December 2022 and further declined to a low of 28.87 by September 2024. Following this decline, there was a recovery trend with the ratio rising again to 38.64 by September 2025. Overall, these trends suggest periods of both high and lower inventory movement rates, reflecting fluctuating operational efficiency or demand conditions.
Average Inventory Processing Period
The average inventory processing period (in days) inversely correlates with the inventory turnover ratio and ranges primarily between 8 and 13 days. The shortest processing period was 8 days recorded in September 2022, coinciding with the peak inventory turnover ratio, highlighting enhanced inventory velocity. Conversely, the longest processing periods around 12 to 13 days occurred in the quarters from April 2023 through September 2024, corresponding with the observed dip in inventory turnover. This pattern suggests slower inventory movement during this timeframe. Towards the end of the period, the processing days decreased back to 9, aligning with the recovery in turnover ratios and indicating improved efficiency in inventory processing.
Summary of Trends
The data illustrates a cyclical pattern in inventory management efficiency, with a significant high turnover and low processing period around mid-2022, followed by a period of reduced efficiency extending through late 2023 and most of 2024. The latter period features a longer inventory holding time and diminished turnover rates, which could point to challenges such as decreased sales velocity or overstocking. The improvement observed in late 2024 and through 2025 reflects a rebound in inventory performance, possibly attributable to operational adjustments or improved market demand. These insights suggest that inventory control and turnover have been subject to varying pressures, warranting continuous monitoring to maintain optimal inventory levels and turnover rates.

Average Receivable Collection Period

Apple Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Sep 27, 2025 Jun 28, 2025 Mar 29, 2025 Dec 28, 2024 Sep 28, 2024 Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Sep 24, 2022 Jun 25, 2022 Mar 26, 2022 Dec 25, 2021 Sep 25, 2021 Jun 26, 2021 Mar 27, 2021 Dec 26, 2020
Selected Financial Data
Receivables turnover 10.46 14.83 15.32 13.35 11.70 16.92 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
Short-term Activity Ratio (no. days)
Average receivable collection period1 35 25 24 27 31 22 21 22 28 19 17 22 26 21 20 29 26 18 21 34
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Arista Networks Inc. 64 75 70 59 62 71 65 64 54 54 65 77 61 61 75 64 52 51 56
Cisco Systems Inc. 43 35 38 31 45 34 31 30 37 34 36 38 47 41 43 38 42 33 33 30
Dell Technologies Inc. 39 43 45 35 39 39 40 35 45 40 46 41 47 52 49 42 50 45 46 43
Super Micro Computer Inc. 37 45 54 53 67 51 59 42 59 37 42 45 59 54 44 44 48 44 36 36

Based on: 10-K (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26).

1 Q4 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 10.46 = 35

2 Click competitor name to see calculations.


Receivables Turnover Ratio
The receivables turnover ratio demonstrates noticeable fluctuations over the observed periods. Starting at 10.85, the ratio peaked multiple times, reaching highs such as 21.47 and 19.87, indicating periods of efficient collection practices. However, there are recurring declines, notably down to as low as 10.46 by the end of the timeline. This oscillating pattern suggests variability in how promptly the company collects its accounts receivable, implying changing credit policies or customer payment behaviors across quarters.
Average Receivable Collection Period
The average collection period inversely mirrors the receivables turnover ratio, beginning with 34 days and descending to a low of 17 days at certain points, reflecting improved collection efficiency. Several intervals see a rise back to over 30 days, indicating slower collections in these quarters. The range varies from a low of 17 days to a high of 35 days, revealing inconsistent patterns in cash flow tied to receivables. These cycles may hint at seasonal factors, shifts in credit terms, or economic conditions influencing customer payment timing.
Overall Trend Analysis
The data reflects no linear progression but a repeating pattern of peaks and troughs over time for both ratios. The cyclical nature of the turnover ratio paired with the collection period indicates that periods of fast receivable turnover and short collection times alternate with slower, less efficient periods. The company's receivables management effectiveness varies, which could impact liquidity and working capital management. It is advisable to investigate the causes of these fluctuations to stabilize and optimize cash inflows.

Operating Cycle

Apple Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Sep 27, 2025 Jun 28, 2025 Mar 29, 2025 Dec 28, 2024 Sep 28, 2024 Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Sep 24, 2022 Jun 25, 2022 Mar 26, 2022 Dec 25, 2021 Sep 25, 2021 Jun 26, 2021 Mar 27, 2021 Dec 26, 2020
Selected Financial Data
Average inventory processing period 9 10 11 12 13 11 11 11 11 12 12 11 8 9 9 10 11 9 10 10
Average receivable collection period 35 25 24 27 31 22 21 22 28 19 17 22 26 21 20 29 26 18 21 34
Short-term Activity Ratio
Operating cycle1 44 35 35 39 44 33 32 33 39 31 29 33 34 30 29 39 37 27 31 44
Benchmarks
Operating Cycle, Competitors2
Arista Networks Inc. 325 339 338 326 336 369 393 382 369 379 383 353 329 300 296 286 262 260 253
Cisco Systems Inc. 101 88 95 93 110 92 88 88 100 95 93 87 96 84 83 74 74 66 63 58
Dell Technologies Inc. 72 76 76 60 59 57 58 54 67 67 71 69 74 79 71 63 69 65 67 64
Super Micro Computer Inc. 124 119 126 163 189 203 175 165 149 142 137 172 187 200 185 176 174 159 144 138

Based on: 10-K (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26).

1 Q4 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 9 + 35 = 44

2 Click competitor name to see calculations.


Inventory Processing Period
The average inventory processing period generally remained stable around 9 to 11 days throughout most quarters, with a slight decline observed in mid-2021 and mid-2022. However, starting from late 2023, there was a noticeable increase, reaching up to 13 days in the third quarter of 2024, before gradually decreasing again to 9 days by the third quarter of 2025. This indicates some variability in inventory management efficiency, with occasional slower turnover towards the later periods.
Receivable Collection Period
The average receivable collection period exhibited considerable fluctuations over the observed timeframe. Initially, there was a downward trend from 34 days at the end of 2020 to a low of 17 days by the first quarter of 2023, signaling improved collection efficiency. Following this, the period increased again intermittently, peaking at 35 days in the third quarter of 2025. These changes suggest variability in accounts receivable management, with periodic challenges in accelerating cash inflows.
Operating Cycle
The operating cycle, defined as the sum of inventory processing and receivable collection periods, reflected the combined effects of the two metrics. It showed a general decline from 44 days in late 2020 to a low of 29 days by early 2023, indicating improved overall operational efficiency. Subsequently, the operating cycle lengthened again in later periods, reaching 44 days by the third quarter of 2025. This pattern underscores fluctuating operational conditions, where early efficiency gains were partially offset by later increases in inventory holding and receivables duration.
Summary
Overall, the financial data reveals periods of both improved efficiency and operational sluggishness. The company's inventory processing times and receivable collection periods varied over time, influencing the total operating cycle. Early improvements in managing receivables and inventory contributed to shorter cash conversion cycles, but these gains were not consistently maintained. The fluctuations in later periods highlight areas for potential operational focus to stabilize and optimize working capital management further.

Average Payables Payment Period

Apple Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
Sep 27, 2025 Jun 28, 2025 Mar 29, 2025 Dec 28, 2024 Sep 28, 2024 Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Sep 24, 2022 Jun 25, 2022 Mar 26, 2022 Dec 25, 2021 Sep 25, 2021 Jun 26, 2021 Mar 27, 2021 Dec 26, 2020
Selected Financial Data
Payables turnover 3.16 4.33 3.95 3.42 3.05 4.38 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
Short-term Activity Ratio (no. days)
Average payables payment period1 115 84 92 107 120 83 80 100 107 79 72 96 105 80 88 126 94 72 75 129
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Arista Networks Inc. 58 70 53 55 45 48 36 71 45 61 62 50 68 77 65 69 49 56 56
Cisco Systems Inc. 46 43 37 39 44 38 33 36 40 43 42 43 43 44 41 45 48 51 40 48
Dell Technologies Inc. 102 117 124 109 105 102 102 86 85 99 109 113 125 130 120 117 122 114 114 107
Super Micro Computer Inc. 24 12 11 38 42 40 60 65 49 44 37 57 54 72 70 63 74 59 53 44

Based on: 10-K (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26).

1 Q4 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 3.16 = 115

2 Click competitor name to see calculations.


Payables Turnover Ratio
The payables turnover ratio exhibits considerable fluctuation throughout the observed quarters. Initially, this ratio increased from 2.82 to a peak of 5.07 within the first year. It then declined to levels around 3.49 to 3.81 in subsequent quarters before rising again to values exceeding 4.5, notably in early 2023. The ratio shows a repeated pattern of sharp increases followed by moderate declines, indicating varying efficiency in settling payables over time. Towards the latest periods, the ratio slightly moderates, ranging between approximately 3.16 and 4.33.
Average Payables Payment Period
The average payables payment period generally moves inversely to the payables turnover ratio, ranging from 72 to 129 days. It starts at a longer duration of 129 days, decreases to 72 days, and then experiences intermittent rises and falls. Notably, the payment period extends above 100 days multiple times, indicating periods where the company took longer to pay its suppliers. Periods of reduced payment days, closer to 72-80 days, coincide with quarters exhibiting higher payables turnover ratios.
Relationship Between the Two Metrics
As anticipated, the payables turnover ratio and the average payables payment period demonstrate an inverse relationship; high turnover ratios correspond with shorter payment periods, and vice versa. This oscillation suggests that the company's payment practices vary significantly between quarters, possibly due to changes in working capital management strategies, supplier terms, or seasonal operational demands.
Overall Insights
The data reflect an inconsistent approach to managing payables, with the company alternating between faster and slower payment cycles. Periods of high turnover and short payment durations may signal improved liquidity or more stringent cash management, while longer payment periods coupled with lower turnover could imply extended credit terms or cash preservation efforts. The observed variability indicates a dynamic payables management policy responsive to internal or external financial conditions rather than a stable, consistent pattern.

Cash Conversion Cycle

Apple Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Sep 27, 2025 Jun 28, 2025 Mar 29, 2025 Dec 28, 2024 Sep 28, 2024 Jun 29, 2024 Mar 30, 2024 Dec 30, 2023 Sep 30, 2023 Jul 1, 2023 Apr 1, 2023 Dec 31, 2022 Sep 24, 2022 Jun 25, 2022 Mar 26, 2022 Dec 25, 2021 Sep 25, 2021 Jun 26, 2021 Mar 27, 2021 Dec 26, 2020
Selected Financial Data
Average inventory processing period 9 10 11 12 13 11 11 11 11 12 12 11 8 9 9 10 11 9 10 10
Average receivable collection period 35 25 24 27 31 22 21 22 28 19 17 22 26 21 20 29 26 18 21 34
Average payables payment period 115 84 92 107 120 83 80 100 107 79 72 96 105 80 88 126 94 72 75 129
Short-term Activity Ratio
Cash conversion cycle1 -71 -49 -57 -68 -76 -50 -48 -67 -68 -48 -43 -63 -71 -50 -59 -87 -57 -45 -44 -85
Benchmarks
Cash Conversion Cycle, Competitors2
Arista Networks Inc. 267 269 285 271 291 321 357 311 324 318 321 303 261 223 231 217 213 204 197
Cisco Systems Inc. 55 45 58 54 66 54 55 52 60 52 51 44 53 40 42 29 26 15 23 10
Dell Technologies Inc. -30 -41 -48 -49 -46 -45 -44 -32 -18 -32 -38 -44 -51 -51 -49 -54 -53 -49 -47 -43
Super Micro Computer Inc. 100 107 115 125 147 163 115 100 100 98 100 115 133 128 115 113 100 100 91 94

Based on: 10-K (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-Q (reporting date: 2024-12-28), 10-K (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-Q (reporting date: 2023-12-30), 10-K (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-24), 10-Q (reporting date: 2022-06-25), 10-Q (reporting date: 2022-03-26), 10-Q (reporting date: 2021-12-25), 10-K (reporting date: 2021-09-25), 10-Q (reporting date: 2021-06-26), 10-Q (reporting date: 2021-03-27), 10-Q (reporting date: 2020-12-26).

1 Q4 2025 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 9 + 35115 = -71

2 Click competitor name to see calculations.


The analysis of the quarterly financial indicators reveals several trends related to the company's operational efficiency and working capital management over the reported periods.

Average Inventory Processing Period
The average inventory processing period generally fluctuates between 8 to 13 days throughout the periods. Early values hover around 9 to 11 days, indicating relative stability. There is a slight increasing trend toward the end of the timeline with peaks at 13 days (September 2024) before decreasing again to 9 days by September 2025, suggesting periodic adjustments in inventory turnover rates.
Average Receivable Collection Period
This period exhibits more volatility compared to inventory processing. It initially declines sharply from 34 days to 18 days within the first three quarters, improving collection efficiency. However, subsequent quarters show irregular fluctuations between 17 and 35 days, ending on a higher note at 35 days in September 2025. These variations indicate changes in credit policy or customer payment behaviors affecting cash inflows.
Average Payables Payment Period
The average payables payment period shows a high and variable pattern, ranging broadly from 72 to 129 days. Early quarters show a decrease from 129 to 72 days, suggesting faster payments to suppliers initially. Afterward, the period oscillates with intermittent increases, peaking again near 120 days in September 2024, reflecting a possible strategic delay in payments to manage cash outflows.
Cash Conversion Cycle (CCC)
The cash conversion cycle remains consistently negative throughout all periods, indicating that the company maintains a net working capital cycle where payables turnover outpaces the sum of inventory processing and receivables collection periods. The CCC ranges between -87 and -43 days, displaying fluctuations that mirror changes in the underlying components. This negative CCC suggests efficient use of supplier financing and strong liquidity management, although variations hint at shifting operational dynamics.

Overall, the data suggests a company maintaining effective control over its cash cycle but experiencing some volatility in receivables and payables periods. The negative and fluctuating cash conversion cycle highlights periodic operational adjustments but consistent emphasis on leveraging supplier credit. Inventory management remains relatively stable with minor variations. These trends embody adaptive working capital management responsive to market or internal conditions.