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
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 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019 Dec 29, 2018
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: 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), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).


The analysis of the financial turnover and cycle ratios over the periods reveals distinct patterns and fluctuations. The following summary outlines the key observations:

Inventory turnover
The inventory turnover ratio demonstrates volatility but an overall tendency towards decline in later periods. After peaking around 49.75 in mid-2020, the ratio gradually decreased to the 28-34 range by the end of 2024 and early 2025, indicating slower inventory movement relative to sales.
Receivables turnover
This ratio fluctuates significantly, with peaks reaching above 20 in mid and late 2023. However, several declines towards 11-13 are observed in early 2024 and 2025, suggesting variable efficiency in collections from customers over the periods.
Payables turnover
The payables turnover ratio exhibits considerable variability, ranging from lows near 2.8 to highs around 5.1. No clear directional trend is noted, reflecting inconsistent patterns in the rate of creditor payments.
Working capital turnover
Available data from late 2019 through 2021 show a dramatic increase, peaking at 83.07 in early 2023. This implies enhanced efficiency in utilizing working capital during this timeframe. However, missing data in several quarters limits further trend analysis post-2023.
Average inventory processing period
The number of days to process inventory remains relatively stable, mostly fluctuating between 7 and 13 days. Minor increases in processing days are noted towards the end of 2024 and early 2025, indicating slightly slower inventory turnover.
Average receivable collection period
The days to collect receivables vary markedly, oscillating from lows near 17 days to highs exceeding 30 days. A reduction to around 17-22 days in 2023 suggests improved collection efficiency during that period, though some lengthening occurred again towards 2025.
Operating cycle
The operating cycle follows the patterns of inventory and receivables, fluctuating between approximately 27 and 44 days. The shortest cycles occur in mid-2020 and mid-2021, representing more efficient turnover, whereas periods with longer cycles suggest slower overall operating efficiency.
Average payables payment period
The payment period for payables displays significant variability, with durations ranging from around 71 days to as high as 129 days. Longer payment periods in some quarters imply extended credit terms or delayed payments, which can impact cash flow management.
Cash conversion cycle
The cash conversion cycle consistently displays negative values throughout all recorded periods, fluctuating mainly between -85 and -43 days. Negative cash conversion cycles indicate that the company collects cash from sales before it needs to pay its suppliers, reflecting strong liquidity management and favorable working capital policies.

Overall, the data show fluctuating efficiency in inventory management, receivables collection, and payable settlements. The strong negative cash conversion cycle highlights effective cash management, though some recent trends in inventory turnover and payment periods suggest areas for closer attention to sustain operational efficiency.


Turnover Ratios


Average No. Days


Inventory Turnover

Apple Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
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 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019 Dec 29, 2018
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.
Super Micro Computer Inc.

Based on: 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), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).

1 Q2 2025 Calculation
Inventory turnover = (Cost of salesQ2 2025 + Cost of salesQ1 2025 + Cost of salesQ4 2024 + Cost of salesQ3 2024) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The cost of sales exhibits cyclical fluctuations across the quarters, generally peaking in the December periods and retreating in the subsequent March quarters. Over the observed span, the peaks reach values above 66 billion US dollars, while the troughs hover around the mid-35 to 50 billion US dollars range. This pattern suggests seasonality in sales or production costs, likely linked to holiday demand cycles. Despite fluctuations, there is no clear linear increasing or decreasing trend in cost of sales, indicating relative stability in scale and cost structure over time with expected seasonal variations.

Inventories similarly present oscillations, with values ranging approximately between 3.3 billion and 7.5 billion US dollars. A notable observation is the gradual increase in inventory levels around the years 2020 to 2023, reaching higher peaks of over 7 billion US dollars, implying possible adjustments in stock management or anticipation of higher demand. After peaking, inventory levels often decline in the subsequent quarters, consistent with the cyclical pattern observed in cost of sales.

The inventory turnover ratio, where data is available, shows significant variation, ranging approximately from 28.87 to nearly 50 times. Higher turnover ratios generally correspond with lower inventory levels relative to cost of sales, indicating efficient inventory management and rapid sales. The ratio tends to decrease in recent quarters, suggesting a slight reduction in inventory efficiency or possibly a strategic decision to maintain higher inventory relative to sales to meet demand or manage supply chain risks.

Summary of patterns:
Seasonal fluctuations are evident in both cost of sales and inventory levels, with peaks often aligning with the end of calendar years.
Inventory levels have trended upwards in recent years, reaching higher maximums than in earlier periods.
Inventory turnover ratios decline moderately in later periods, which may reflect changing inventory strategies or market conditions.
The overall financial dynamics reflect a balance between maintaining sufficient inventory for sales peaks and managing cost structures effectively.

Receivables Turnover

Apple Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
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 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019 Dec 29, 2018
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.
Super Micro Computer Inc.

Based on: 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), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).

1 Q2 2025 Calculation
Receivables turnover = (Net salesQ2 2025 + Net salesQ1 2025 + Net salesQ4 2024 + Net salesQ3 2024) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Net sales
Over the examined periods, net sales exhibit a pattern of seasonal fluctuations with generally strong increases in December quarters. For example, each December quarter from 2018 through 2024 shows higher sales relative to the preceding quarters. However, sales for some March and June quarters demonstrate declines or stagnation compared to prior years, notably lower values in March 2019 and June 2019, and somewhat fluctuating results in mid-2023. The highest recorded net sales occur in December quarters, with peak values reaching over 124 billion US dollars in December 2024. This consistent end-of-year sales peak suggests a strong seasonal influence likely tied to holiday periods or product launch cycles.
Accounts receivable, net
The accounts receivable values display variability that does not perfectly align with net sales trends. While there is a general tendency for higher receivable amounts in December quarters, the magnitude of accounts receivable often spikes more sharply than sales, especially in quarters ending December 2019, December 2020, and December 2024, where receivables reach or exceed 30 billion US dollars. This indicates that despite high sales, there may be slower collection periods or extended credit terms in these quarters. Conversely, some quarters, such as March 2024, show relatively lower receivables despite solid sales, pointing to potentially more efficient collections or changes in credit policies.
Receivables turnover ratio
The receivables turnover ratio fluctuates substantially throughout the periods with no clear long-term upward or downward trend but exhibits notable variations likely influenced by the changes in accounts receivable and sales. Higher turnover ratios, such as those exceeding 18 in June and September 2021 and mid-2023, suggest stronger collection efficiency during those times. In contrast, lower turnover ratios around the 11–13 range, seen particularly in late 2018 and some recent quarters, indicate slower receivables collection. The turnover tends to decline in quarters following sales peaks, consistent with increased receivables balances during those periods.
Summary of trends and insights
Overall, the data reveals a seasonal sales pattern with peaks at year-end, accompanied by corresponding increases in accounts receivable. The variability in the receivables turnover ratio implies fluctuating collection efficiency, which may impact working capital management. The higher accounts receivable values relative to net sales during peak quarters warrant attention to credit policies and collection practices, as prolonged receivables could affect liquidity. While net sales consistently grow over the long term, the interplay between sales and receivables reflects the importance of managing credit terms in alignment with sales cycles to maintain healthy cash flows.

Payables Turnover

Apple Inc., payables turnover calculation (quarterly data)

Microsoft Excel
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 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019 Dec 29, 2018
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.
Super Micro Computer Inc.

Based on: 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), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).

1 Q2 2025 Calculation
Payables turnover = (Cost of salesQ2 2025 + Cost of salesQ1 2025 + Cost of salesQ4 2024 + Cost of salesQ3 2024) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The cost of sales exhibits significant volatility across the reported quarterly periods. A notable drop occurs from December 2018 to March 2019, followed by minor fluctuations until a sharp increase is observed in the December quarters, peaking notably in December 2020 and December 2021. This pattern suggests seasonality impacts, with higher costs towards year-end. From early 2022 onward, cost of sales shows a general upward trend with some variability, indicating potential changes in production volumes, pricing, or input costs.

Accounts payable similarly reflects fluctuations, with values generally rising alongside increases in cost of sales. The data indicates a relationship between payables and sales costs, with payables increasing substantially in December 2019, December 2020, and December 2021, mirroring peaks in cost of sales. After 2021, payables continue to maintain high levels, fluctuating but showing an overall upward tendency. This could suggest extended credit terms, growth in procurement, or changes in supplier payment practices.

The payables turnover ratio displays variable behavior throughout the periods. Early data points are missing, but from June 2019 onward, the ratio varies between approximately 2.8 and 5.1 times. The ratio peaks around the mid-year quarters, particularly in June 2019, June 2020, and July 2023, indicating quicker payment to suppliers at these times. Conversely, lower turnover ratios are observed around year-end quarters, particularly December 2019, December 2020, and December 2021, suggesting slower payment cycles during those periods. This oscillation aligns with the observed seasonality in accounts payable amounts.

Overall, the data points to a pronounced seasonal pattern in cost of sales and accounts payable, with higher levels toward the end of each calendar year and corresponding fluctuations in payables turnover. The trends indicate the company's working capital management varies through the year, potentially influenced by seasonal demand, supplier negotiations, and cash flow considerations. Sustained increases in absolute values in recent years may reflect growth in scale, inflationary effects, or changes in operational dynamics.


Working Capital Turnover

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

Microsoft Excel
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 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019 Dec 29, 2018
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.
Super Micro Computer Inc.

Based on: 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), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).

1 Q2 2025 Calculation
Working capital turnover = (Net salesQ2 2025 + Net salesQ1 2025 + Net salesQ4 2024 + Net salesQ3 2024) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The data exhibits notable fluctuations and trends across key financial metrics over the observed periods.

Working Capital
The working capital figures demonstrate a declining trend starting from a positive high of 57,101 million USD in September 2019, peaking around the end of 2019 with 61,070 million USD, followed by a significant decrease throughout 2020 and subsequent years. The figure turns negative as of March 2022, reaching a low of -25,897 million USD by June 2024. This shift from positive to negative working capital indicates increasing short-term liabilities relative to short-term assets, suggesting growing liquidity constraints or shifts in operational funding needs over time.
Net Sales
Net sales show a clear seasonal and cyclical pattern with increases typically observed during the fourth quarter of each fiscal year, peaking significantly in December quarters such as 2019, 2020, 2021, and 2024. For example, net sales surged to 123,945 million USD in December 2021 and further to 124,300 million USD in December 2024. Despite quarter-to-quarter volatility, the overall trend suggests robust and growing sales levels with seasonal spikes possibly linked to product launches or holiday sales periods.
Working Capital Turnover Ratio
The working capital turnover ratio, calculated as net sales divided by working capital, shows a marked increase over time, particularly in the data points available from mid-2019 onwards. Notably, the ratio escalates from 4.56 in June 2019 to exceptionally high values such as 67.8 in December 2021 and peaks at 83.07 by March 2024. Elevated and rising turnover ratios typically signal more efficient use of working capital to generate sales, but in this context, it largely reflects diminishing working capital levels (including negative values), which inflate the ratio. Thus, the interpretation should consider both improving sales and declining working capital balances.

In summary, the period observed reveals increasing sales accompanied by a substantial decline in working capital, transitioning from surplus to deficit. The result is a significantly rising working capital turnover ratio, which suggests operational efficiency in sales generation relative to short-term capital resources but also raises concerns about tightening liquidity and potential reliance on external financing or changes in current liabilities management. These patterns call for close monitoring of liquidity risk and capital structure in parallel with sustaining revenue growth.


Average Inventory Processing Period

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

Microsoft Excel
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 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019 Dec 29, 2018
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.
Super Micro Computer Inc.

Based on: 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), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).

1 Q2 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Inventory Turnover Ratio
The inventory turnover ratio demonstrates noticeable fluctuations over the observed periods. Beginning with a ratio of 39.4, it increased to a peak of 49.75 during mid-2020, indicating a faster rate of inventory movement during this period. Following this peak, the ratio declined to approximately 32.36 by early 2023, reflecting a slowdown in inventory turnover. In the most recent quarters, the ratio shows a moderate recovery, increasing from 28.87 to 34.08. Overall, the ratio exhibits volatility but generally remains within a range of approximately 29 to 45.
Average Inventory Processing Period
The average inventory processing period, measured in number of days, shows an inverse pattern to the inventory turnover ratio, which is consistent with the nature of these metrics. Initially stable at around 9 days, the processing period decreased to 7 days in mid-2020, coinciding with the turnover peak. Subsequently, it lengthened to a maximum of 13 days in early 2025, indicating slower inventory processing times in recent periods. Between these points, processing periods fluctuated between 8 and 12 days, reflecting some instability but no extreme deviations.
Overall Insights
The data suggests that the efficiency of inventory management improved significantly during 2020, as reflected by a higher turnover ratio and shorter processing period. However, since then, this efficiency has somewhat declined, with turnover rates dropping and processing periods extending, indicating that the company may be experiencing slower inventory movement and possibly larger or less optimized inventory holdings. The recent slight improvement in turnover ratio paired with a marginal reduction in processing days could signal initial steps toward restoring more efficient inventory management.

Average Receivable Collection Period

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

Microsoft Excel
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 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019 Dec 29, 2018
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.
Super Micro Computer Inc.

Based on: 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), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).

1 Q2 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of the receivables turnover ratio and the average receivable collection period over the observed quarterly periods reveals notable fluctuations and some recurring patterns.

Receivables Turnover Ratio

The receivables turnover ratio, which measures how effectively the company collects its receivables, shows significant variation over the periods analyzed. Starting from a value of 11.35, the ratio increased substantially, reaching peaks above 17 in several quarters (such as Jun 29, 2019, Jun 27, 2020, and Mar 26, 2022). The highest observed value was 21.47 in Apr 1, 2023, indicating a strong receivables management performance during that quarter. However, periods of decline are also evident, with ratios dropping to low points such as 10.85 in Dec 26, 2020, and 11.7 in Dec 30, 2023. This indicates some volatility in the efficiency of receivables collection over time. The most recent periods, including Mar 29, 2025 with a ratio of 15.32, suggest a moderate improvement compared to earlier low points but still below the highest levels observed.

Average Receivable Collection Period

The average receivable collection period, representing the average number of days the company takes to collect its receivables, exhibits an inverse pattern to the receivables turnover, as expected. The collection period started at 32 days, then declined to a low of 17 days in Apr 1, 2023, coinciding with the peak in the turnover ratio at that time. The period fluctuates throughout, with increases aligning to dips in the turnover ratio—for instance, rising to 34 days in Dec 26, 2020, and 31 days in Dec 30, 2023. Towards the end of the timeframe, the collection period modestly improves to 24 days in Mar 29, 2025, indicating a return to more efficient collections.

Overall, the data indicate that the company's receivables management has undergone considerable variability from 2019 through 2025. Periods of efficient receivables turnover and shorter collection times are intermittently interrupted by quarters showing slower collections and reduced turnover efficiency. This cyclical pattern could suggest seasonal effects, changes in credit policies, or fluctuating customer payment behaviors impacting the company's working capital and cash flow management.


Operating Cycle

Apple Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
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 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019 Dec 29, 2018
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.
Super Micro Computer Inc.

Based on: 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), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).

1 Q2 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The data exhibits an analysis of key turnover periods and the overall operating cycle over multiple fiscal quarters. The temporal scope covers several years, enabling an assessment of trends and fluctuations in financial efficiency metrics.

Average Inventory Processing Period
The average inventory processing period shows minor fluctuations across the periods assessed. Initially, the period stabilizes around 9 days, with occasional deviations to 7 or 8 days. Notably, towards the latest quarters, the period slightly increases reaching up to 13 days before settling back to approximately 11-12 days. This indicates a relatively consistent inventory turnover with modest variations potentially due to shifts in inventory management strategies or supply chain conditions.
Average Receivable Collection Period
This metric exhibits more pronounced variability. Early periods show a decrease from 32 to 21 days, suggesting improving efficiency in receivables collection. However, subsequent quarters reflect oscillations between 17 and 34 days, indicating some inconsistency. The latter data points reveal an uptick up to 31 days, followed by a modest decrease. Such fluctuations may imply varying customer payment behaviors or changes in credit policies.
Operating Cycle
The operating cycle, summing the inventory and receivable periods, generally mirrors the trends observed in its components. Initial decreases suggest improved operational efficiency, with the cycle shortening from 41 to 28 days. Nonetheless, mid to later periods show variability, with increases reaching up to 44 days, before once again declining towards the end of the timeline. These oscillations reflect the combined impact of inventory processing and receivables collection dynamics, evidencing episodic operational adjustments or external influences on business operations.

Overall, while average inventory periods remain relatively stable, receivable collection periods demonstrate notable volatility affecting the total operating cycle. Periods of efficiency gains alternate with phases of elongation, signaling a moderate level of variability in operational asset management. Continuous monitoring and targeted management of receivables appear crucial to achieving more consistent improvement in the operating cycle.


Average Payables Payment Period

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

Microsoft Excel
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 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019 Dec 29, 2018
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.
Super Micro Computer Inc.

Based on: 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), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).

1 Q2 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Payables Turnover
The payables turnover ratio exhibits significant fluctuations over the observed periods. Starting near 3.5 in late 2019, the ratio increased notably to a peak of 5.12 in mid-2020, suggesting a faster payment cycle during that time. Subsequently, the ratio experienced varying declines and rises, reaching lower points such as 2.9 at the end of 2020 and intermediate peaks around 5.1 in early and mid-2023. Overall, the ratio demonstrates a cyclical pattern with alternating periods of faster and slower payments, without a clear sustained upward or downward trend. The latter part of the series shows ratios fluctuating mainly between 3.0 and 4.5, indicating moderate payment pace stability in recent quarters.
Average Payables Payment Period
The average payables payment period, expressed in days, inversely reflects the payables turnover ratio. Early measurements around late 2019 reveal periods as short as 71 days and others extending beyond 100 days, with a notable peak of 129 days in the first quarter of 2020. These spikes indicate intervals of slower payment activity. Throughout the timeline, the payment period experiences substantial variability, ranging from lows around 72 days to highs exceeding 120 days. More recent data continues this oscillation, with payable periods alternating roughly between 80 and 120 days. This variability suggests fluctuating payment strategies over time but does not highlight a definitive trend towards either faster or slower payment on average.
Summary of Relationship Between Metrics
The inverse relationship between payables turnover and average payment period is evident; as the turnover ratio increases, the payment period shortens, and vice versa. This dynamic highlights shifts in the company's payment practices. Periods with high turnover ratios correspond to more prompt settlement of payables, while lower turnover ratios coincide with extended payment durations. Both metrics underline ongoing changes in cash management policies or supplier payment negotiations without a consistent directional trend over the entire series.

Cash Conversion Cycle

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

No. days

Microsoft Excel
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 Sep 26, 2020 Jun 27, 2020 Mar 28, 2020 Dec 28, 2019 Sep 28, 2019 Jun 29, 2019 Mar 30, 2019 Dec 29, 2018
Selected Financial Data
Average inventory processing period
Average receivable collection period
Average payables payment period
Short-term Activity Ratio
Cash conversion cycle1
Benchmarks
Cash Conversion Cycle, Competitors2
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Super Micro Computer Inc.

Based on: 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), 10-K (reporting date: 2020-09-26), 10-Q (reporting date: 2020-06-27), 10-Q (reporting date: 2020-03-28), 10-Q (reporting date: 2019-12-28), 10-K (reporting date: 2019-09-28), 10-Q (reporting date: 2019-06-29), 10-Q (reporting date: 2019-03-30), 10-Q (reporting date: 2018-12-29).

1 Q2 2025 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + =

2 Click competitor name to see calculations.


The financial data reveals several notable trends over the discussed periods regarding Apple Inc.'s operational efficiency measured in days.

Average Inventory Processing Period
This metric generally fluctuates between 7 and 13 days, demonstrating relative stability with minor variations. Starting at 9 days in late 2018 and early 2019, it reached a low of 7 days in mid-2020 then increased slightly to peak at 13 days in early 2025. The inventory processing period shows a tendency toward slight lengthening in the most recent quarters.
Average Receivable Collection Period
The receivable collection days depict more variability, ranging from as low as 17 days to fluctuations above 30 days. Initial values around 29-32 days in 2018-2019 decreased to a lower range of 18-21 days in 2020-2021, indicating improved receivables management. However, sporadic rises recur, with values climbing again up to 31 days in late 2024 before slightly decreasing to 24 days in early 2025. Overall, the period displays cyclical variations rather than a sustained trend.
Average Payables Payment Period
This period shows significant volatility, with values spanning from 71 to 129 days. Early reports indicate a decline from over 100 days to lows near 70 days during 2019-2020, followed by spikes close to or exceeding 120 days in calendar year 2021 and again in late 2024 to early 2025. The substantial peaks suggest intervals where payment terms were extended, possibly reflecting strategic cash flow management or supplier negotiations.
Cash Conversion Cycle (CCC)
The CCC remains consistently negative throughout the observed timeframe, varying between approximately -43 and -87 days, which is an indicator of efficient management of working capital resulting in a favorable cash flow position. The most negative point occurred near late 2021 with approximately -87 days, while the least negative values were around -43 days in mid-2023. The continuing negative cycle highlights the company's strong ability to convert resources into cash promptly.

In summary, the data illustrates that inventory turnover maintains regular intervals, receivable collection periods fluctuate but trend toward improved efficiency intermittently, and payables periods exhibit marked fluctuations with some extended durations. The persistently negative cash conversion cycle underscores effective working capital management, implying the company often collects cash before disbursing funds to suppliers, which is beneficial for liquidity and operational funding.