Stock Analysis on Net
Stock Analysis on Net

Apple Inc. (NASDAQ:AAPL)

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
Jun 27, 2026 Mar 28, 2026 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
Receivables turnover
Payables turnover
Working capital turnover
Average No. Days
Average inventory processing period
Add: Average receivable collection period
Operating cycle
Less: Average payables payment period
Cash conversion cycle

Based on: 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 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 organization maintains a highly efficient operational cycle, characterized by a consistently negative cash conversion cycle across all reporting periods. This indicates a strategic financial position where cash is generated from sales and collections before payments are due to suppliers, effectively using trade credit to fund operational activities.

Inventory Management
Inventory turnover exhibits a generally high level of efficiency, with ratios typically ranging between 28 and 45. The average inventory processing period remained remarkably low, fluctuating between 8 and 13 days for the majority of the observed period. However, a notable decline in efficiency occurred in the final quarter ending June 27, 2026, where the turnover ratio dropped to 21.61 and the processing period increased to 17 days, marking the highest duration in the data set.
Receivables Management
Receivables turnover shows significant volatility, peaking at 21.47 in April 2023 and dipping to 10.46 in September 2024. The average receivable collection period fluctuates between 17 and 35 days. While there is no linear trend, the organization generally maintains a collection window of approximately three to four weeks, though periodic extensions are observed, such as the increase to 35 days in September 2025.
Payables Management
The payables turnover remains relatively low, typically between 2.8 and 5.1, which corresponds to a prolonged average payables payment period. This period varies from a minimum of 72 days to a maximum of 129 days. The extended payment window demonstrates significant leverage over suppliers, allowing the organization to retain cash for longer durations.
Operating and Cash Conversion Cycles
The operating cycle remains stable, generally fluctuating between 27 and 44 days. Because the payables payment period consistently exceeds the operating cycle, the cash conversion cycle remains negative throughout the entire period, ranging from -43 to -87 days. This structural advantage ensures that the organization operates with a net cash inflow from its working capital cycle.
Working Capital Efficiency
Working capital turnover displays extreme variance. While it frequently fluctuated between 13.62 and 83.07, a substantial spike to 948.83 was recorded in the final period ending June 27, 2026. This anomalous increase suggests a significant reduction in net working capital relative to revenue generated during that specific timeframe.

Turnover Ratios


Average No. Days



Inventory Turnover

Apple Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Jun 27, 2026 Mar 28, 2026 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
Inventories
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 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 Q3 2026 Calculation
Inventory turnover = (Cost of salesQ3 2026 + Cost of salesQ2 2026 + Cost of salesQ1 2026 + Cost of salesQ4 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of inventory activity reveals a consistent seasonal pattern in cost of sales, which peaks annually in the December quarter. Throughout the observed period, inventory levels remained relatively stable between 2020 and 2025, before experiencing a significant increase in the final quarter of the series.

Inventory Turnover Trends
The inventory turnover ratio reached a peak of 45.20 in September 2022, indicating a period of high operational efficiency in managing stock. This efficiency subsequently declined throughout 2023 and 2024, with the ratio generally fluctuating between 28.87 and 34.08, suggesting a slower movement of goods relative to the cost of sales.
Recent Volatility and Inventory Buildup
A recovery trend was observed during 2025, as the turnover ratio climbed back to 39.06 by December 2025. However, a sharp contraction occurred in June 2026, where the ratio dropped to 21.61. This decline coincides with a substantial increase in inventories to 11,092 million US$, the highest level in the provided timeframe, indicating a significant accumulation of stock that has negatively impacted turnover velocity.
Cost of Sales Seasonality
Cost of sales exhibits recurring quarterly spikes, consistently peaking in the December periods, with the highest value reaching 74,525 million US$ in December 2025. While these peaks reflect strong seasonal demand, the inverse relationship between inventory levels and the turnover ratio in June 2026 suggests that the most recent increase in stock has not been offset by a corresponding increase in sales volume.


Receivables Turnover

Apple Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Jun 27, 2026 Mar 28, 2026 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
Accounts receivable, net
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 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 Q3 2026 Calculation
Receivables turnover = (Net salesQ3 2026 + Net salesQ2 2026 + Net salesQ1 2026 + Net salesQ4 2025) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a cyclical pattern in revenue generation and a fluctuating trend in the efficiency of receivables collection over the period from December 2020 to June 2026. Net sales demonstrate consistent seasonal peaks every December, with the highest quarterly revenue reaching 143,756 million USD in December 2025. This seasonality is mirrored in the accounts receivable balance, which typically expands during peak sales quarters before contracting in the subsequent periods.

Receivables Turnover Volatility
The receivables turnover ratio exhibits significant variability, ranging from a high of 21.47 in April 2023 to a low of 10.46 in September 2025. High turnover rates observed in the early 2021 and early 2023 periods indicate periods of highly efficient credit collection and rapid conversion of receivables into cash. Conversely, the decline observed in late 2024 and 2025 suggests a deceleration in the collection cycle.
Correlation Between Asset Growth and Turnover Efficiency
A notable shift occurs between September 2024 and September 2025, where net accounts receivable increased from 33,410 million USD to 39,777 million USD. This growth in the receivables balance coincides with a downward trend in the turnover ratio, which dropped to 10.46 during the same timeframe. This inverse relationship indicates that the growth in sales was accompanied by an increase in the average time required to collect payments from customers.
Recent Stabilization Trends
Following the low point in late 2025, the turnover ratio shows signs of stabilization. In the first half of 2026, the ratio remained consistent at approximately 14.87 to 14.88. This suggests a normalization of credit management practices and a return to a more predictable collection cadence, despite the higher baseline of net accounts receivable compared to the 2020-2022 period.


Payables Turnover

Apple Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Jun 27, 2026 Mar 28, 2026 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
Accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 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 Q3 2026 Calculation
Payables turnover = (Cost of salesQ3 2026 + Cost of salesQ2 2026 + Cost of salesQ1 2026 + Cost of salesQ4 2025) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of payables turnover reveals a distinct seasonal pattern characterized by cyclical fluctuations that correlate with the annual product cycle and cost of sales volatility. The turnover ratio consistently oscillates between a low of 2.82 and a peak of 5.10, reflecting a strategic management of supplier obligations relative to procurement costs.

Seasonal Cyclicality
A recurring trend is observed where payables turnover reaches its lowest points during the December quarters. For instance, ratios dipped to 2.82 in December 2020 and 2.90 in December 2021. Conversely, the ratio typically peaks in the March and June quarters, with notable highs of 5.07 in June 2021 and 5.10 in April 2023. This suggests a pattern of extending payment terms or increasing procurement volume ahead of peak sales periods, followed by a more rapid settlement of accounts in the first half of the year.
Correlation with Cost of Sales
There is a visible relationship between spikes in the cost of sales and the subsequent movement in payables turnover. During periods of elevated cost of sales, such as December 2025 (US$ 74,525 million), the turnover ratio tends to compress (3.25), indicating that accounts payable balances increase disproportionately to the immediate cost of sales, thereby slowing the turnover rate.
Long-term Stability and Trend
Despite short-term volatility, the turnover ratio demonstrates a level of operational stability. From 2020 through 2026, the ratio generally maintains a corridor between 3.0 and 5.0. This indicates a consistent approach to working capital management and a stable relationship with the supply chain, where the timing of payments remains predictable despite fluctuations in absolute expenditure.
Liquidity and Supplier Management
The observation of lower turnover ratios during peak demand quarters suggests the effective use of trade credit as a financing tool to support inventory builds. The ability to maintain these ratios without significant deviation over several years points to strong bargaining power with suppliers, allowing for the strategic timing of cash outflows to align with revenue realization.


Working Capital Turnover

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

Microsoft Excel
Jun 27, 2026 Mar 28, 2026 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
Less: Current liabilities
Working capital
 
Net sales
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 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 Q3 2026 Calculation
Working capital turnover = (Net salesQ3 2026 + Net salesQ2 2026 + Net salesQ1 2026 + Net salesQ4 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The financial data indicates a significant transition in the management of short-term operating assets and liabilities, characterized by a shift from positive to frequently negative working capital. While net sales demonstrate consistent seasonality and a general upward trajectory in peak periods, the working capital turnover ratio shows extreme volatility, directly correlating with the diminishing base of net working capital.

Net Sales Performance
A consistent seasonal pattern is evident, with quarterly revenue peaks occurring every December. Sales reached a high of 143,756 million US dollars in December 2025. Outside of these peak quarters, revenue generally fluctuates between 81,000 and 95,000 million US dollars, indicating a stable core demand with significant end-of-year surges.
Working Capital Volatility
Working capital transitioned from a positive position of 21,599 million US dollars in December 2020 to a predominantly negative state between March 2022 and September 2025. A notable trough occurred in March 2025, with working capital reaching negative 25,897 million US dollars. This pattern suggests an aggressive operational strategy where current liabilities are utilized to fund operations, reducing the reliance on tied-up liquid assets.
Working Capital Turnover Analysis
The turnover ratio exhibits extreme instability due to the fluctuating denominator. Initial growth was observed from 13.62 in December 2020 to 67.80 in December 2021. The ratio became non-calculable or unreported during periods of negative working capital. A critical spike is observed in June 2026, reaching 948.83, which is a mathematical result of net sales remaining high (109,417 million US dollars) while working capital contracted to a marginal positive value of 492 million US dollars.
Operational Efficiency Insights
The recurring presence of negative working capital indicates high efficiency in supply chain management and strong bargaining power with suppliers, allowing the entity to operate with minimal net investment in short-term assets. However, the extreme fluctuation in the turnover ratio during 2026 highlights the sensitivity of this metric when the margin between current assets and current liabilities becomes very narrow.


Average Inventory Processing Period

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

Microsoft Excel
Jun 27, 2026 Mar 28, 2026 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
Short-term Activity Ratio (no. days)
Average inventory processing period1
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 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 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of inventory activity ratios reveals a cyclical pattern in operational efficiency, characterized by periods of high turnover followed by moderate declines and a significant recent shift in inventory processing speed.

Inventory Turnover Trends
A period of increasing efficiency was observed from December 2020 through September 2022, with the turnover ratio peaking at 45.20. Subsequently, a downward trend occurred, reaching a local minimum of 28.87 by September 2024. A recovery phase followed, where the ratio climbed back to 39.06 by December 2025. However, a sharp contraction is noted in the final reporting period ending June 2026, where the turnover ratio dropped to 21.61, the lowest value in the observed timeframe.
Average Inventory Processing Period
The processing period remained relatively stable and lean between 8 and 13 days for the majority of the period. The highest efficiency was recorded in September 2022, with inventory being processed in 8 days. A gradual increase in the processing period was observed between December 2022 and September 2024, peaking at 13 days. While the period returned to 9 days by late 2025, a significant increase to 17 days occurred by June 2026, reflecting a substantial slowdown in the movement of goods.
Correlation and Operational Insight
A consistent inverse correlation is maintained between the turnover ratio and the processing period. The transition from December 2025 to June 2026 is particularly noteworthy, as the processing period increased by approximately 89% (from 9 to 17 days) concurrently with a decline in turnover. This suggests a recent accumulation of inventory or a decrease in sales velocity during the first half of 2026.

Overall, the operational data indicates a historical capacity for extremely lean inventory management, although the most recent data points signify a marked departure from this efficiency, resulting in a prolonged inventory cycle.



Average Receivable Collection Period

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

Microsoft Excel
Jun 27, 2026 Mar 28, 2026 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
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 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 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Analysis of the short-term activity ratios reveals a recurring pattern of volatility in the efficiency of credit collection, characterized by a consistent inverse correlation between receivables turnover and the average collection period.

Receivables Turnover Dynamics
The turnover ratio exhibits significant fluctuations, reaching a peak efficiency of 21.47 on April 1, 2023. A subsequent downward trend is noted in later periods, with a cyclical low of 10.46 occurring on September 27, 2025. These shifts indicate varying velocities in the conversion of accounts receivable into cash across the observed timeframe.
Average Receivable Collection Period Trends
The collection period ranges from a minimum of 17 days in April 2023 to a maximum of 35 days in June 2025. A observable seasonal pattern is evident, where the collection period typically extends during the third and fourth quarters of the calendar year, reaching peaks of 31 days in September 2024 and 35 days in June 2025.
Long-term Operational Efficiency
Comparative analysis shows a period of high efficiency between March 2021 and March 2024, where the collection period frequently remained at or below 22 days. A transition toward a longer collection cycle is observed starting in late 2024 and extending through 2025, before the metric stabilizes at 25 days by June 2026, suggesting a normalization of credit terms or payment behaviors.


Operating Cycle

Apple Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Jun 27, 2026 Mar 28, 2026 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
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 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 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The operating cycle exhibits a pattern of periodic fluctuation, characterized by a general range between 27 and 44 days. The overall duration of the cycle is primarily driven by variances in receivable collections, as inventory processing remains relatively stable for the majority of the analyzed period.

Average Inventory Processing Period
Inventory management demonstrates high efficiency and consistency, with the processing period typically oscillating between 8 and 12 days from December 2020 through March 2026. A notable deviation occurs in June 2026, where the period increases to 17 days, marking the highest level in the recorded series and indicating a potential slowdown in inventory turnover during the final quarter.
Average Receivable Collection Period
Receivable collection exhibits significant volatility and apparent seasonality. The period reached a minimum of 17 days in April 2023 but experienced periodic peaks, most notably reaching 35 days in September 2025. A trend toward longer collection periods is observable throughout 2025 and early 2026 compared to the 2021-2023 window, suggesting a shift in credit terms or collection efficiency.
Operating Cycle Trends
The total operating cycle reflects the combined impact of the aforementioned components. The shortest cycle of 27 days was recorded in June 2021, while peaks of 44 days occurred in December 2020, September 2024, and September 2025. The cycle concludes at 42 days in June 2026, driven by the simultaneous increase in both inventory processing and receivable collection times.

Analysis indicates that while inventory turnover is managed with tight precision, the overall operational liquidity is more sensitive to the fluctuations in the time required to convert receivables into cash. The recent upward trend in both components suggests a lengthening of the total cash-to-cash cycle toward the end of the observed period.



Average Payables Payment Period

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

Microsoft Excel
Jun 27, 2026 Mar 28, 2026 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
Short-term Activity Ratio (no. days)
Average payables payment period1
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 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 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The average payables payment period exhibits significant volatility and a distinct seasonal pattern over the observed timeframe. The duration required to settle obligations with suppliers fluctuates consistently, reflecting a cyclical approach to short-term liability management.

Seasonal Cyclicality
A recurring pattern is evident where the payment period extends toward the end of the calendar year. Peak durations are observed in December 2020 (129 days), December 2021 (126 days), September 2024 (120 days), and September 2025 (115 days). These peaks are typically followed by a sharp contraction in the first half of the subsequent year, with troughs frequently reaching the 70-80 day range, as seen in June 2021, April 2023, and March 2024.
Inverse Correlation with Payables Turnover
The data demonstrates a strict inverse relationship between the payables turnover ratio and the average payment period. Periods of high turnover, such as the peak of 5.10 in April 2023, correspond directly with the shortest payment durations of 72 days. Conversely, the lowest turnover ratios, such as 2.82 in December 2020, align with the longest payment periods.
Working Capital Stability
Despite the quarterly oscillations, there is no evidence of a long-term linear trend upward or downward. The payment period consistently returns to a baseline range, suggesting a stabilized strategy for leveraging supplier credit to manage liquidity. The consistency of these cycles indicates a disciplined approach to operating activity and cash flow timing.


Cash Conversion Cycle

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

No. days

Microsoft Excel
Jun 27, 2026 Mar 28, 2026 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
Average receivable collection period
Average payables payment period
Short-term Activity Ratio
Cash conversion cycle1
Benchmarks
Cash Conversion Cycle, Competitors2
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

Based on: 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 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 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + =

2 Click competitor name to see calculations.


The company maintains a consistently negative cash conversion cycle across the analyzed period, indicating a highly efficient working capital management strategy where cash is recovered from sales and inventory before payments are settled with suppliers.

Inventory Processing Efficiency
The average inventory processing period remains remarkably low, typically fluctuating between 8 and 13 days. While high stability is observed for the majority of the timeline, a notable increase to 17 days occurs in the final quarter of the period, suggesting a slight deceleration in inventory turnover velocity toward the end of the series.
Receivables Collection Trends
The average receivable collection period exhibits moderate volatility, ranging from a minimum of 17 days to a peak of 35 days. Periodic fluctuations are evident, with collection times often lengthening in the September quarters, although the duration generally remains within a tight operational window.
Payables Management Strategy
The average payables payment period serves as the primary driver of the negative cash conversion cycle, showing significant variance between 72 and 129 days. Frequent peaks exceeding 100 days indicate a strong capacity to negotiate extended payment terms with vendors, effectively utilizing supplier credit as a source of interest-free operational financing.
Overall Cash Conversion Cycle Dynamics
The cash conversion cycle fluctuates between -43 and -87 days. The most aggressive negative cycles correlate with peaks in the payables payment period, particularly during December quarters. Despite intermittent shifts in receivable collection and inventory processing times, the cycle remains firmly negative throughout the entire duration, reflecting a structural advantage in liquidity and working capital optimization.