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
Dec 27, 2025 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 39.06 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 10.91 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 3.25 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 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 33 35 25 24 27 31 22 21 22 28 19 17 22 26 21 20 29 26 18 21 34
Operating cycle 42 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 112 115 84 92 107 120 83 80 100 107 79 72 96 105 80 88 126 94 72 75 129
Cash conversion cycle -70 -71 -49 -57 -68 -76 -50 -48 -67 -68 -48 -43 -63 -71 -50 -59 -87 -57 -45 -44 -85

Based on: 10-Q (reporting date: 2025-12-27), 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).


The short-term operating activity ratios exhibit varied trends over the observed period. Inventory turnover generally remained within a range of 28.87 to 45.20, with a noticeable dip to 32.36 and 28.87 in late 2022 and late 2024 respectively. Receivables turnover demonstrated more volatility, peaking at 21.47 in April 2023, but generally declining towards the end of the period. Payables turnover fluctuated between 2.82 and 5.10, showing no clear long-term trend. Working capital turnover experienced significant spikes in June 2021 and March 2024, followed by a lack of reported values in subsequent periods. The average inventory processing period remained relatively stable, generally between 9 and 11 days, with a slight increase to 13 days in late 2024. The average receivable collection period showed a decreasing trend from 34 days in December 2020 to 17 days in April 2023, before increasing again to 33 days by December 2025. The operating cycle fluctuated, with a general trend towards stabilization in the mid-30s. The average payables payment period was consistently higher than the operating cycle, ranging from 72 to 129 days. The cash conversion cycle was consistently negative, indicating efficient liquidity management, but became less negative over time, ending at -70 days.

Inventory Management
Inventory turnover showed a moderate decline in the latter part of the period, potentially indicating slower sales or increased inventory levels. The average inventory processing period remained consistently low, suggesting effective inventory control. The slight increase in processing period towards the end of the observed timeframe warrants monitoring.
Receivables Management
Receivables turnover exhibited considerable fluctuation, with a peak in early 2023 followed by a decline. The average receivable collection period initially decreased, suggesting improved efficiency in collecting receivables, but then increased, potentially indicating a loosening of credit terms or difficulties in collection. The increase in the collection period towards the end of the period could be a cause for concern.
Payables Management
Payables turnover remained relatively stable, with no significant trend observed. The average payables payment period was consistently high, suggesting the company utilizes extended payment terms with its suppliers. This could be a strategic decision to manage cash flow, but also carries the risk of potentially strained supplier relationships.
Overall Efficiency
The working capital turnover ratio showed significant volatility, with limited data available for a comprehensive assessment. The consistently negative cash conversion cycle indicates the company effectively manages its short-term liabilities and converts its operating cycle into positive cash flow. However, the trend of the cash conversion cycle becoming less negative suggests a potential decrease in this efficiency over time.
Cycle Analysis
The operating cycle and cash conversion cycle are closely linked. The consistently negative cash conversion cycle, driven by a longer payables period than receivables and inventory processing periods, suggests the company is effectively financing its operations with supplier credit. The slight narrowing of the cash conversion cycle towards the end of the period suggests a potential shift in this dynamic.

Turnover Ratios


Average No. Days


Inventory Turnover

Apple Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Dec 27, 2025 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 74,525 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 5,875 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 39.06 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. 5.97 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. 10.16 11.07 10.98 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. 3.30 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-Q (reporting date: 2025-12-27), 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 Q1 2026 Calculation
Inventory turnover = (Cost of salesQ1 2026 + Cost of salesQ4 2025 + Cost of salesQ3 2025 + Cost of salesQ2 2025) ÷ Inventories
= (74,525 + 54,125 + 50,318 + 50,492) ÷ 5,875 = 39.06

2 Click competitor name to see calculations.


The inventory turnover ratio exhibits fluctuations over the observed period, generally ranging between 28.87 and 45.20. An initial observation reveals a generally increasing trend from December 2020 through June 2022, followed by a period of volatility and a slight upward trend towards the end of the analyzed timeframe.

Initial Increasing Trend (Dec 2020 – Jun 2022)
From December 2020 to June 2022, the inventory turnover ratio generally increased, moving from 36.21 to 40.43. This suggests improving efficiency in managing inventory during this period, potentially due to increased demand or optimized supply chain management. A slight dip is observed in September 2021 (32.37), but the overall trend remains positive.
Period of Volatility (Sep 2022 – Jun 2024)
Following June 2022, the ratio experiences more pronounced fluctuations. It declines to 32.36 in September 2022, then decreases further to 29.24 in March 2022. A recovery is seen in the subsequent quarters, but the ratio remains below the levels observed in the first half of 2022. The ratio fluctuates between approximately 28.87 and 33.80 during this period, indicating potential inconsistencies in sales velocity or inventory levels.
Recent Upward Trend (Jul 2024 – Jun 2025)
The most recent quarters demonstrate a renewed upward trend. The ratio increases from 28.87 in July 2024 to 39.06 in December 2025. This suggests a potential improvement in inventory management or a surge in demand towards the end of the analyzed period. The ratio in June 2025 (36.77) and September 2025 (38.64) indicate a sustained increase.
Cost of Sales and Inventory Relationship
The cost of sales generally increased over the period, with notable peaks in December 2020, December 2021, and December 2022. Inventory levels also show an overall increase, but the inventory turnover ratio’s fluctuations suggest that the growth in sales did not consistently outpace the growth in inventory. The ratio’s movements are influenced by both the cost of sales and inventory levels, and their combined effect determines the observed trends.

In conclusion, the inventory turnover ratio demonstrates a dynamic pattern over the analyzed timeframe. While an initial increasing trend suggests efficient inventory management, subsequent volatility indicates potential challenges. The recent upward trend provides a positive signal, but continued monitoring is recommended to assess the sustainability of this improvement.


Receivables Turnover

Apple Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Dec 27, 2025 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 143,756 102,466 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 39,921 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 10.91 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. 11.95 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. 9.88 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. 8.34 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-Q (reporting date: 2025-12-27), 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 Q1 2026 Calculation
Receivables turnover = (Net salesQ1 2026 + Net salesQ4 2025 + Net salesQ3 2025 + Net salesQ2 2025) ÷ Accounts receivable, net
= (143,756 + 102,466 + 94,036 + 95,359) ÷ 39,921 = 10.91

2 Click competitor name to see calculations.


The receivables turnover ratio exhibits considerable fluctuation over the observed period, spanning from December 2020 to December 2025. Generally, the ratio indicates the efficiency with which the company converts its receivables into cash. A higher ratio generally suggests more efficient collection practices, while a lower ratio may indicate slower collections or a more lenient credit policy.

Initial Period (Dec 2020 - Jun 2021)
The receivables turnover ratio began at 10.85 in December 2020, then increased significantly, peaking at 19.87 in June 2021. This initial increase suggests improved efficiency in collecting receivables during this timeframe. The increase coincides with a decrease in accounts receivable, net, while net sales remained relatively stable or decreased slightly.
Subsequent Fluctuations (Sep 2021 - Dec 2022)
Following the peak, the ratio decreased to 12.52 by December 2021, then rose again to 16.32 in December 2022. This period demonstrates volatility, with the ratio fluctuating between approximately 12 and 16. Accounts receivable, net, increased during September 2021, contributing to the initial decline in turnover, but decreased again by December 2022.
Recent Trends (Mar 2023 - Dec 2023)
A notable increase to 21.47 was observed in March 2023, representing the highest point in the observed period. This was followed by a decrease to 16.63 in September 2023 and a slight increase to 17.48 in December 2023. Net sales increased significantly in December 2023, while accounts receivable, net, remained relatively stable.
Latest Period (Mar 2024 - Dec 2025)
The ratio decreased to 10.46 in September 2025, and then increased to 10.91 in December 2025. This recent decline suggests a potential slowdown in the collection of receivables, or a deliberate extension of credit terms. Accounts receivable, net, increased substantially during this period, while net sales also increased, but at a slower rate.

Overall, the receivables turnover ratio demonstrates a cyclical pattern with no clear, sustained trend. The fluctuations appear to be influenced by both changes in net sales and the level of accounts receivable, net. Further investigation into the company’s credit policies and collection practices would be necessary to fully understand the drivers behind these variations.


Payables Turnover

Apple Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Dec 27, 2025 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 74,525 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 70,587 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 3.25 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. 8.39 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. 2.97 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. 14.79 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-Q (reporting date: 2025-12-27), 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 Q1 2026 Calculation
Payables turnover = (Cost of salesQ1 2026 + Cost of salesQ4 2025 + Cost of salesQ3 2025 + Cost of salesQ2 2025) ÷ Accounts payable
= (74,525 + 54,125 + 50,318 + 50,492) ÷ 70,587 = 3.25

2 Click competitor name to see calculations.


The accounts payable turnover ratio exhibits fluctuations over the observed period, spanning from December 2020 to December 2025. Generally, the ratio indicates the efficiency with which the company is managing its accounts payable, reflecting how many times it pays its suppliers within a year. A higher ratio generally suggests more efficient management, while a lower ratio could indicate slower payments or potential liquidity issues. The analysis reveals periods of both improvement and decline in this metric.

Initial Period (Dec 2020 - Jun 2021)
The payables turnover ratio initially demonstrates an increase from 2.82 in December 2020 to 4.88 in March 2021, and further to 5.07 in June 2021. This suggests an improved ability to manage and pay off supplier invoices during this timeframe. The increase could be attributed to factors such as efficient procurement processes or timely payments to take advantage of early payment discounts.
Subsequent Decline (Jun 2021 - Dec 2021)
Following the peak in June 2021, the ratio declines to 3.89 in September 2021 and 2.90 in December 2021. This decrease may indicate a lengthening of the payment cycle, potentially due to increased bargaining power with suppliers or a deliberate strategy to conserve cash.
Fluctuations and Recovery (Dec 2021 - Jun 2022)
The ratio experiences a recovery in the first half of 2022, rising from 4.15 in March 2022 to 4.54 in June 2022. However, this is preceded by a value of 2.90 in December 2021, indicating continued volatility. This period suggests a return to more efficient payment practices, but with ongoing fluctuations.
Mid-Period Volatility (Jun 2022 - Dec 2022)
From June 2022 through December 2022, the ratio demonstrates a downward trend, falling from 4.54 to 3.81. This suggests a potential slowdown in payment activity or an increase in outstanding payables. The ratio remains relatively stable around the 3.4 to 3.9 range for the remainder of 2022.
Recent Trends (Dec 2022 - Dec 2025)
The ratio shows a peak of 5.10 in April 2023, followed by a decline to 3.16 in September 2025. There is a general trend of fluctuation, with peaks and troughs occurring throughout the period. The most recent value, 3.25 in December 2025, is slightly higher than the value in September 2025, but remains below the peak observed in April 2023. The ratio appears to be stabilizing in the 3.16-3.25 range towards the end of the observed period.

Overall, the payables turnover ratio demonstrates a pattern of cyclical changes rather than a consistent upward or downward trend. The fluctuations suggest that the company’s payment practices are influenced by various factors, including supplier relationships, cash flow management, and potentially seasonal variations in cost of sales. Further investigation into the underlying drivers of these fluctuations would be necessary to determine the optimal payment strategy.


Working Capital Turnover

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

Microsoft Excel
Dec 27, 2025 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 158,104 147,957 122,491 118,674 133,240 152,987 125,435 128,416 143,692 143,566 122,659 112,913 128,777 135,405 112,292 118,180 153,154 134,836 114,423 121,465 154,106
Less: Current liabilities 162,367 165,631 141,120 144,571 144,365 176,392 131,624 123,822 133,973 145,308 124,963 120,075 137,286 153,982 129,873 127,508 147,574 125,481 107,754 106,385 132,507
Working capital (4,263) (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 143,756 102,466 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. 2.04 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-Q (reporting date: 2025-12-27), 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 Q1 2026 Calculation
Working capital turnover = (Net salesQ1 2026 + Net salesQ4 2025 + Net salesQ3 2025 + Net salesQ2 2025) ÷ Working capital
= (143,756 + 102,466 + 94,036 + 95,359) ÷ -4,263 =

2 Click competitor name to see calculations.


The working capital turnover ratio exhibits significant fluctuations throughout the observed period. Initially, the ratio demonstrates a strong upward trend from December 2020 through June 2021, peaking at 52.06. Following this peak, the ratio declines to 39.10 by September 2021, before experiencing a substantial increase to 67.80 in December 2021. Subsequent quarterly values are unavailable until December 2022, at which point the ratio is not calculable due to negative working capital. The ratio reappears in March 2024 at 39.69, increasing sharply to 83.07 in June 2024, before becoming uncalculable again due to negative working capital in subsequent quarters.

Working Capital Trend
Working capital values generally decreased from December 2020 to June 2022, becoming negative and remaining so for the majority of the period. A positive value is observed in December 2023, but is followed by a return to negative values in subsequent quarters. This volatility in working capital significantly impacts the interpretability of the turnover ratio.
Net Sales Trend
Net sales demonstrate seasonal patterns, with generally lower sales in the March and June quarters and higher sales in the December quarter. While sales decreased from December 2020 to June 2021, they rebounded strongly in December 2021 and remained relatively stable, with fluctuations, through the end of the observation period. The increase in net sales from September 2024 to December 2024 is particularly notable.
Ratio Interpretation
The high turnover ratios observed in the earlier periods (June 2021, December 2021, and June 2024) suggest efficient utilization of working capital to generate sales. However, the frequent instances of negative working capital render the ratio unreliable and difficult to interpret for a substantial portion of the period. The inability to calculate the ratio due to negative working capital indicates potential liquidity concerns or aggressive financing strategies. The sharp increase in the ratio in June 2024, coupled with the subsequent return to negative working capital, warrants further investigation.

The relationship between working capital and net sales appears complex and dynamic. The observed fluctuations necessitate a deeper analysis of the underlying components of working capital – accounts receivable, inventory, and accounts payable – to understand the drivers behind these trends and their impact on the company’s operational efficiency and financial health.


Average Inventory Processing Period

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

Microsoft Excel
Dec 27, 2025 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 39.06 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 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. 61 58 53 57 62 65 58 57 58 63 61 57 49 49 43 40 36 32 33 30 28
Dell Technologies Inc. 36 33 33 31 25 20 18 18 19 22 27 25 28 27 27 22 21 19 20 21 21
Super Micro Computer Inc. 110 87 74 72 110 122 152 116 123 90 105 95 127 128 146 141 132 126 115 108 102

Based on: 10-Q (reporting date: 2025-12-27), 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 Q1 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 39.06 = 9

2 Click competitor name to see calculations.


The average inventory processing period demonstrates relative stability over the analyzed period, with fluctuations primarily occurring between 9 and 13 days. An initial period of consistency at 10 days is observed, followed by a slight increase to 11 days, then a return to 9 and 10 days before fluctuating again.

Overall Trend
The metric generally remains within a narrow range, indicating efficient inventory management. There isn't a pronounced upward or downward trend across the entire timeframe. The average processing period hovers around 11 days, with deviations from this average appearing to be cyclical rather than directional.
Short-Term Fluctuations
A slight increase to 11 days is noted in the September 2021 and subsequent quarters, persisting through the first half of 2022. This is followed by a period of lower processing times, reaching a low of 8 days in September 2022. A subsequent rise to 13 days is observed in the December 2024 quarter, representing the highest value in the series, before decreasing again.
Recent Performance
The most recent quarters show a return towards the historical average. The period concludes with values of 10 days in June 2025 and 9 days in September and December 2025. This suggests a potential stabilization after the peak observed in late 2024.
Inventory Turnover Correlation
The average inventory processing period exhibits an inverse relationship with inventory turnover. When inventory turnover increases, the processing period tends to decrease, and vice versa. For example, the peak in inventory turnover in September 2022 (45.20) corresponds with the lowest processing period (8 days). Conversely, lower turnover rates in quarters like December 2020 (36.21) and December 2022 (32.36) align with slightly longer processing periods (10 and 11 days respectively).

In conclusion, the average inventory processing period indicates a generally efficient inventory management system. While fluctuations occur, they remain within a manageable range, and the metric appears responsive to changes in inventory turnover.


Average Receivable Collection Period

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

Microsoft Excel
Dec 27, 2025 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 10.91 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 33 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. 31 43 35 38 31 45 34 31 30 37 34 36 38 47 41 43 38 42 33 33 30
Dell Technologies Inc. 37 39 43 45 35 39 39 40 35 45 40 46 41 47 52 49 42 50 45 46 43
Super Micro Computer Inc. 44 37 45 54 53 67 51 59 42 59 37 42 45 59 54 44 44 48 44 36 36

Based on: 10-Q (reporting date: 2025-12-27), 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 Q1 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 10.91 = 33

2 Click competitor name to see calculations.


The average receivable collection period demonstrates fluctuations over the observed timeframe. Initially, a decreasing trend is apparent, followed by periods of relative stability and subsequent increases. A detailed examination reveals specific patterns in the company’s efficiency in collecting its receivables.

Initial Decreasing Trend (Dec 26, 2020 – Jun 26, 2021)
The average receivable collection period decreased from 34 days in December 2020 to 18 days in June 2021. This indicates an improvement in the speed at which the company collects payments from its customers during this period. This could be attributed to more efficient credit and collection policies, or a change in customer payment behavior.
Fluctuation and Stabilization (Jun 26, 2021 – Dec 25, 2021)
Following the initial decrease, the collection period experienced some volatility, rising to 29 days by December 2021. However, the period remained within a relatively narrow range of 18 to 29 days throughout this six-month period, suggesting a stabilization of collection efficiency after the initial improvement.
Subsequent Variations (Dec 25, 2021 – Sep 30, 2023)
The period from December 2021 to September 2023 shows continued fluctuations. The collection period decreased to a low of 17 days in April 2023, but generally remained between 20 and 28 days. This suggests ongoing, but less dramatic, changes in collection efficiency.
Increasing Trend (Sep 30, 2023 – Dec 27, 2025)
From September 2023, an upward trend in the average receivable collection period is observed. The period increased to 35 days by December 2025, representing a significant increase compared to the levels seen in the earlier part of the observed timeframe. This could indicate a loosening of credit terms, slower customer payments, or potential issues with the collection process. The period reached 33 days in the subsequent quarter, indicating the increase may not be a sustained trend.

Overall, the company’s average receivable collection period has exhibited variability. While initial improvements in collection speed were evident, more recent periods suggest a potential lengthening of the collection cycle, warranting further investigation into the underlying causes.


Operating Cycle

Apple Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Dec 27, 2025 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 9 10 11 12 13 11 11 11 11 12 12 11 8 9 9 10 11 9 10 10
Average receivable collection period 33 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 42 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. 92 101 88 95 93 110 92 88 88 100 95 93 87 96 84 83 74 74 66 63 58
Dell Technologies Inc. 73 72 76 76 60 59 57 58 54 67 67 71 69 74 79 71 63 69 65 67 64
Super Micro Computer Inc. 154 124 119 126 163 189 203 175 165 149 142 137 172 187 200 185 176 174 159 144 138

Based on: 10-Q (reporting date: 2025-12-27), 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 Q1 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 9 + 33 = 42

2 Click competitor name to see calculations.


The operating cycle, along with its component parts, exhibits fluctuations over the observed period. Generally, the operating cycle demonstrates a pattern of initial reduction followed by increases and subsequent stabilization, with a recent upward trend. A closer examination of the individual components reveals the drivers behind these changes.

Average Inventory Processing Period
The average inventory processing period remained relatively stable between 9 and 11 days for the majority of the observed timeframe, from December 2020 through June 2023. A slight increase to 12 and 13 days was noted in the subsequent quarters, before decreasing again to 10 days in March 2025. This suggests a generally efficient inventory management process, with minor variations potentially linked to seasonal demand or supply chain dynamics.
Average Receivable Collection Period
The average receivable collection period showed more pronounced variability. A significant decrease was observed from 34 days in December 2020 to 18 days in June 2021, indicating improved efficiency in collecting receivables. This was followed by a period of fluctuation, peaking at 35 days in June 2025, with a high of 31 days in September 2024. The period generally ranged between 20 and 29 days. The recent increase suggests a potential lengthening of credit terms offered to customers or a slowdown in customer payments.
Operating Cycle
The operating cycle initially decreased from 44 days in December 2020 to a low of 27 days in June 2021, driven primarily by the reduction in the receivable collection period. The cycle then increased to 39 days in December 2021 before stabilizing around the low 30s for several quarters. A notable increase to 44 days was observed in September 2024, and this trend continued into June 2025, reaching 44 days. This recent increase is likely attributable to the combined effect of a slightly increasing inventory processing period and a more substantial increase in the receivable collection period. The operating cycle’s recent upward trend warrants further investigation to determine the underlying causes and potential impact on cash flow.

Overall, the observed trends suggest a generally well-managed operating cycle, though recent increases in both the receivable collection period and, consequently, the overall operating cycle, merit attention. Continued monitoring of these ratios is recommended to identify any persistent issues and ensure optimal working capital management.


Average Payables Payment Period

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

Microsoft Excel
Dec 27, 2025 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 3.25 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 112 115 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. 44 46 43 37 39 44 38 33 36 40 43 42 43 43 44 41 45 48 51 40 48
Dell Technologies Inc. 123 102 117 124 109 105 102 102 86 85 99 109 113 125 130 120 117 122 114 114 107
Super Micro Computer Inc. 25 24 12 11 38 42 40 60 65 49 44 37 57 54 72 70 63 74 59 53 44

Based on: 10-Q (reporting date: 2025-12-27), 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 Q1 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 3.25 = 112

2 Click competitor name to see calculations.


The average payables payment period exhibited fluctuations over the observed period, spanning from December 2020 to December 2025. An initial decrease was followed by periods of both increases and decreases, ultimately concluding with a period similar to the beginning of the observation window.

Initial Decline and Subsequent Increase (Dec 2020 - Jun 2021)
The average payables payment period began at 129 days in December 2020, demonstrating a substantial decline to 75 days by March 2021. This downward trend continued, reaching a low of 72 days in June 2021. This suggests an improvement in the efficiency of paying suppliers during this timeframe.
Fluctuations and Return to Higher Values (Jun 2021 - Jun 2022)
Following the initial decline, the period increased to 94 days by September 2021, then rose further to 126 days by December 2021. A subsequent decrease to 88 days was observed in March 2022, followed by a further reduction to 80 days in June 2022. This period indicates a degree of volatility in payment practices.
Continued Variability (Jun 2022 - Dec 2023)
The period increased to 105 days in September 2022, then decreased to 96 days by the end of the year. The first half of 2023 saw a drop to 72 days in April, followed by 79 days in July, and then a rise to 107 days in December. This continued fluctuation suggests potential changes in supplier agreements or internal payment processing.
Recent Trends (Dec 2023 - Dec 2025)
From December 2023 through December 2025, the average payables payment period showed a pattern of 80 days, 83 days, 120 days, 107 days, 92 days, 84 days, 115 days, and finally 112 days. The period ended at 112 days, which is comparable to the initial value of 129 days observed in December 2020, indicating a potential return to earlier payment practices.

Overall, the average payables payment period demonstrated considerable variability throughout the analyzed period. While periods of efficient payment were observed, there were also instances of extended payment terms, suggesting a dynamic relationship with suppliers and potentially influenced by internal financial management strategies.


Cash Conversion Cycle

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

No. days

Microsoft Excel
Dec 27, 2025 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 9 10 11 12 13 11 11 11 11 12 12 11 8 9 9 10 11 9 10 10
Average receivable collection period 33 35 25 24 27 31 22 21 22 28 19 17 22 26 21 20 29 26 18 21 34
Average payables payment period 112 115 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 -70 -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. 48 55 45 58 54 66 54 55 52 60 52 51 44 53 40 42 29 26 15 23 10
Dell Technologies Inc. -50 -30 -41 -48 -49 -46 -45 -44 -32 -18 -32 -38 -44 -51 -51 -49 -54 -53 -49 -47 -43
Super Micro Computer Inc. 129 100 107 115 125 147 163 115 100 100 98 100 115 133 128 115 113 100 100 91 94

Based on: 10-Q (reporting date: 2025-12-27), 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 Q1 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 9 + 33112 = -70

2 Click competitor name to see calculations.


The cash conversion cycle demonstrates significant fluctuation over the observed period, ranging from -85 to -71 days. Generally, the cycle remains negative, indicating efficient liquidity management. However, notable shifts occur within the components contributing to this cycle.

Average Inventory Processing Period
This period remains relatively stable, fluctuating between 9 and 13 days. A slight upward trend is visible in late 2023 and early 2024, peaking at 13 days before returning to 11-12 days. The period concludes at 10 days, mirroring the initial value. This suggests consistent inventory management with minor, temporary adjustments.
Average Receivable Collection Period
The receivable collection period exhibits more volatility. It begins at 34 days, decreasing substantially to 18 days by June 2021. A subsequent increase is observed, reaching 35 days by June 2025, with peaks at 31 and 33 days in late 2024 and early 2025 respectively. This suggests varying effectiveness in collecting receivables, potentially influenced by sales volume or customer payment terms. The initial and final values indicate a cyclical pattern.
Average Payables Payment Period
The payables payment period demonstrates the most significant variation, ranging from 72 to 129 days. A substantial decrease is seen from December 2020 (129 days) to March 2021 (75 days). The period then increases again, peaking at 126 days in December 2021, before fluctuating between 79 and 120 days. A general trend towards longer payment periods is observed in the latter half of the analyzed timeframe, concluding at 115 days. This suggests a dynamic approach to supplier payment terms, potentially leveraging available credit or negotiating extended payment schedules.
Cash Conversion Cycle – Overall Trend
The negative cash conversion cycle is primarily driven by the extended payables payment period relative to the inventory processing and receivable collection periods. The cycle’s fluctuations correlate with changes in the receivable collection and payables payment periods. Periods of increased receivable collection times and/or extended payables payment times result in a less negative (closer to zero) cash conversion cycle. The cycle’s most negative values occur when receivables are collected quickly and payables are paid relatively promptly. The cycle stabilizes around -70 days in the final quarters, indicating a consistent, efficient management of working capital.

In summary, the company demonstrates effective working capital management, consistently maintaining a negative cash conversion cycle. Fluctuations are observed in receivable collection and payables payment periods, requiring ongoing monitoring to optimize liquidity and maintain financial flexibility.