Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
Turnover Ratios
Average No. Days
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
An analysis of the short-term operating activity ratios reveals a significant expansion in the operational cycle and a corresponding decrease in efficiency over the analyzed period, with a peak in capital tie-up occurring in early 2025 followed by a gradual recovery.
- Inventory Management and Processing
- A pronounced decline in inventory turnover is observed, falling from 2.88 in March 2022 to a trough of 1.44 in March 2025. This trend is mirrored by the average inventory processing period, which more than doubled from 127 days to a peak of 254 days. While a recovery trend began in mid-2025, with turnover improving to 1.77 and the processing period shortening to 207 days by September 2026, the efficiency remains substantially lower than the 2022 baseline.
- Receivables and Collection Efficiency
- Receivables turnover exhibited a gradual downward trajectory, decreasing from 10.56 to 7.93. This suggests a slowing of credit recovery, as the average receivable collection period extended from 35 days in early 2022 to 46 days by September 2026. The increase in collection time indicates a slight deterioration in the efficiency of the credit-to-cash process.
- Payables and Working Capital Dynamics
- Payables turnover demonstrated significant volatility, peaking at 11.89 in March 2024 before stabilizing around 9.86. The average payables payment period fluctuated between a high of 55 days in March 2023 and a low of 30 days in March 2026, reflecting inconsistent supplier payment strategies. Working capital turnover followed a U-shaped pattern, declining from 1.65 to 1.21 by March 2024 before recovering to 1.50 by the end of the period.
- Overall Operating and Cash Conversion Cycles
- The operating cycle expanded dramatically from 162 days in March 2022 to a peak of 296 days in March 2025, driven primarily by the surge in inventory processing time. Consequently, the cash conversion cycle experienced a similar surge, increasing from 123 days to a peak of 249 days. Although the cash conversion cycle contracted to 216 days by September 2026, the duration for which working capital remains locked in the operating process has increased significantly compared to the initial reporting period.
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Inventory Turnover
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||
| Cost of revenue (COR) | 2,168) | 2,111) | 2,026) | 1,951) | 2,019) | 1,873) | 1,756) | 1,693) | 1,677) | 1,611) | 1,566) | 1,646) | 1,717) | 1,621) | 1,516) | 1,583) | 1,624) | 1,587) | 1,463) | ||||||
| Inventories | 4,672) | 4,605) | 4,695) | 4,804) | 4,829) | 4,812) | 4,687) | 4,527) | 4,296) | 4,106) | 4,083) | 3,999) | 3,908) | 3,729) | 3,288) | 2,757) | 2,404) | 2,199) | 2,060) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Inventory turnover1 | 1.77 | 1.76 | 1.68 | 1.58 | 1.52 | 1.45 | 1.44 | 1.45 | 1.51 | 1.59 | 1.60 | 1.63 | 1.65 | 1.70 | 1.92 | 2.27 | 2.56 | 2.74 | 2.88 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | 2.28 | 2.31 | 2.21 | 2.27 | 2.32 | 2.16 | 2.28 | 2.33 | 2.44 | 2.61 | 2.81 | 2.74 | 2.70 | 3.05 | 3.45 | 3.62 | 4.24 | 4.00 | ||||||
| Analog Devices Inc. | 2.46 | 2.45 | 2.47 | 2.56 | 2.59 | 2.66 | 2.71 | 2.79 | 2.86 | 2.84 | 2.80 | 2.70 | 2.61 | 2.68 | 2.84 | 3.20 | 3.82 | 3.78 | 3.66 | ||||||
| Applied Materials Inc. | 2.38 | 2.34 | 2.41 | 2.46 | 2.54 | 2.58 | 2.63 | 2.63 | 2.54 | 2.46 | 2.49 | 2.47 | 2.45 | 2.41 | 2.32 | 2.33 | 2.42 | 2.60 | 2.79 | ||||||
| Broadcom Inc. | 6.15 | 5.53 | 7.42 | 9.07 | 9.12 | 9.59 | 10.09 | 10.83 | 8.92 | 8.09 | 6.67 | 5.86 | 6.10 | 6.00 | 5.98 | 5.77 | 5.92 | 6.40 | 6.95 | ||||||
| Intel Corp. | 2.75 | 2.80 | 2.79 | 2.97 | 3.00 | 3.28 | 2.95 | 2.93 | 2.94 | 2.87 | 2.81 | 2.92 | 2.85 | 2.78 | 2.68 | 2.74 | 2.90 | 3.02 | 2.97 | ||||||
| KLA Corp. | 1.47 | 1.49 | 1.47 | 1.48 | 1.44 | 1.44 | 1.33 | 1.29 | 1.29 | 1.28 | 1.37 | 1.47 | 1.54 | 1.63 | 1.59 | 1.67 | 1.71 | 1.75 | 1.73 | ||||||
| Lam Research Corp. | 2.71 | 2.56 | 2.43 | 2.20 | 2.00 | 1.95 | 1.95 | 1.86 | 1.75 | 1.77 | 1.84 | 2.00 | 2.14 | 2.16 | 2.24 | 2.36 | 2.60 | 2.89 | 2.95 | ||||||
| Marvell Technology Inc. | 3.79 | 3.81 | 3.45 | 3.29 | 3.78 | 3.61 | 3.73 | 3.72 | 3.40 | 3.04 | 2.92 | 2.74 | 2.97 | 2.96 | 3.21 | 3.33 | 3.37 | 4.06 | 2.84 | ||||||
| Micron Technology Inc. | 2.89 | 2.92 | 2.82 | 2.69 | 2.44 | 2.27 | 2.31 | 2.20 | 2.22 | 2.18 | 2.24 | 2.02 | 2.01 | 2.06 | 1.91 | 2.53 | 3.06 | 3.14 | 3.60 | ||||||
| NVIDIA Corp. | 2.83 | 3.33 | 3.92 | 3.24 | 3.57 | 3.47 | 3.36 | 3.15 | 2.83 | 2.68 | 2.45 | 2.25 | 2.70 | 3.02 | 3.25 | 3.62 | 3.87 | 3.75 | 3.63 | ||||||
| Qualcomm Inc. | 2.41 | 2.73 | 3.02 | 3.02 | 3.02 | 3.02 | 2.84 | 2.66 | 2.74 | 2.64 | 2.58 | 2.47 | 2.54 | 2.61 | 2.65 | 2.94 | 3.27 | 3.58 | 3.90 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q3 2026 Calculation
Inventory turnover
= (Cost of revenue (COR)Q3 2026
+ Cost of revenue (COR)Q2 2026
+ Cost of revenue (COR)Q1 2026
+ Cost of revenue (COR)Q4 2025)
÷ Inventories
= (2,168 + 2,111 + 2,026 + 1,951)
÷ 4,672 = 1.77
2 Click competitor name to see calculations.
The analyzed period from March 2022 through September 2026 reveals a significant cyclical shift in inventory management, characterized by an initial phase of aggressive inventory accumulation followed by a period of gradual efficiency recovery.
- Inventory Volume and Accumulation
- Inventories experienced a substantial and consistent increase for the majority of the period, rising from 2,060 million US$ in March 2022 to a peak of 4,829 million US$ in September 2025. This expansion represents a more than twofold increase in stock levels over three and a half years. After the September 2025 peak, inventory levels began a slight contraction, ending at 4,672 million US$ in September 2026.
- Cost of Revenue Trajectory
- The cost of revenue exhibited a general upward trend, moving from 1,463 million US$ in March 2022 to 2,168 million US$ by September 2026. While the cost of revenue grew, the rate of increase was notably slower than the growth of inventories during the first half of the analyzed period, contributing to a decline in operational efficiency.
- Inventory Turnover Performance
- The inventory turnover ratio demonstrates a clear U-shaped pattern. A steady decline is observed from a high of 2.88 in March 2022 to a minimum of 1.44 in March 2024, indicating a period where inventory was building up significantly faster than it was being consumed or sold. Following this trough, a gradual recovery phase occurred, with the ratio improving to 1.77 by September 2026. This recovery coincides with the stabilization and subsequent slight reduction of inventory levels paired with rising costs of revenue.
- Operational Efficiency Insights
- The divergence between inventory growth and the cost of revenue between 2022 and early 2024 suggests a period of overstocking or a significant slowdown in demand relative to production. The subsequent rise in the turnover ratio from mid-2024 onward indicates an improvement in asset utilization and a more effective alignment between inventory levels and revenue generation.
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Receivables Turnover
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||
| Revenue | 6,055) | 5,463) | 4,825) | 4,423) | 4,742) | 4,448) | 4,069) | 4,007) | 4,151) | 3,822) | 3,661) | 4,077) | 4,532) | 4,531) | 4,379) | 4,670) | 5,241) | 5,212) | 4,905) | ||||||
| Accounts receivable, net of allowances | 2,620) | 2,520) | 2,245) | 1,963) | 2,062) | 1,934) | 1,860) | 1,719) | 1,862) | 1,711) | 1,671) | 1,787) | 1,976) | 1,956) | 1,877) | 1,895) | 2,040) | 2,190) | 1,795) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Receivables turnover1 | 7.93 | 7.72 | 8.21 | 9.01 | 8.37 | 8.62 | 8.63 | 9.10 | 8.44 | 9.41 | 10.05 | 9.80 | 9.17 | 9.62 | 10.39 | 10.57 | 9.90 | 8.95 | 10.56 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | 5.67 | 6.21 | 5.49 | 5.16 | 5.79 | 5.10 | 4.16 | 3.36 | 4.05 | 4.53 | 4.22 | 4.37 | 5.07 | 5.71 | 5.72 | 5.26 | 5.33 | 5.13 | ||||||
| Analog Devices Inc. | 5.81 | 6.21 | 8.64 | 7.67 | 6.69 | 7.10 | 7.83 | 7.05 | 8.61 | 10.42 | 9.67 | 8.37 | 7.94 | 7.96 | 7.72 | 6.67 | 6.37 | 6.07 | 5.16 | ||||||
| Applied Materials Inc. | 4.01 | 4.55 | 5.67 | 5.47 | 4.96 | 4.54 | 4.61 | 5.19 | 5.40 | 5.55 | 5.64 | 5.13 | 5.08 | 4.83 | 4.88 | 4.25 | 5.08 | 5.09 | 5.49 | ||||||
| Broadcom Inc. | 6.50 | 6.97 | 8.07 | 8.94 | 9.23 | 10.25 | 11.00 | 11.68 | 10.04 | 7.75 | 7.82 | 11.36 | 12.17 | 11.56 | 10.64 | 11.22 | 11.70 | 9.73 | 11.23 | ||||||
| Intel Corp. | 14.63 | 14.14 | 13.22 | 13.77 | 16.69 | 22.49 | 17.31 | 15.27 | 17.38 | 17.60 | 16.62 | 15.94 | 18.59 | 18.04 | 14.66 | 15.26 | 9.31 | 12.11 | 10.98 | ||||||
| KLA Corp. | 5.68 | 6.15 | 5.50 | 5.37 | 5.35 | 4.65 | 5.25 | 5.35 | 5.91 | 5.25 | 6.24 | 5.99 | 5.48 | 4.59 | 5.30 | 5.08 | 5.34 | 4.72 | 5.10 | ||||||
| Lam Research Corp. | 5.25 | 5.89 | 5.39 | 5.46 | 5.31 | 4.90 | 5.31 | 5.92 | 6.46 | 5.29 | 5.63 | 6.17 | 5.78 | 4.68 | 3.94 | 3.99 | 4.52 | 4.86 | 4.64 | ||||||
| Marvell Technology Inc. | 5.04 | 4.98 | 5.68 | 5.61 | 5.39 | 4.98 | 6.06 | 4.91 | 4.53 | 4.65 | 5.79 | 4.97 | 4.20 | 4.27 | 4.26 | 4.26 | 4.00 | 4.40 | 4.48 | ||||||
| Micron Technology Inc. | 2.91 | 3.36 | 4.15 | 4.03 | 4.55 | 4.82 | 3.92 | 3.80 | 4.17 | 4.26 | 5.50 | 6.36 | 7.48 | 10.12 | 8.18 | 6.00 | 5.20 | 5.79 | 5.64 | ||||||
| NVIDIA Corp. | 5.60 | 5.94 | 6.71 | 5.66 | 6.40 | 6.81 | 6.45 | 6.09 | 5.40 | 4.63 | 6.34 | 7.05 | 5.82 | 5.59 | 5.43 | 5.79 | 6.14 | 6.11 | 6.37 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q3 2026 Calculation
Receivables turnover
= (RevenueQ3 2026
+ RevenueQ2 2026
+ RevenueQ1 2026
+ RevenueQ4 2025)
÷ Accounts receivable, net of allowances
= (6,055 + 5,463 + 4,825 + 4,423)
÷ 2,620 = 7.93
2 Click competitor name to see calculations.
The analysis of receivables turnover from March 2022 through September 2026 reveals a general decline in the efficiency of credit collection, occurring alongside a significant volatility and subsequent recovery in quarterly revenue.
- Revenue Trends and Volatility
- Revenue exhibited a cyclical pattern, beginning with a peak of 5,241 million USD in September 2022, followed by a sustained contraction that reached a trough of 3,661 million USD by March 2024. Following this period, a strong recovery phase is evident, with revenue climbing steadily to reach 6,055 million USD by September 2026. This indicates a substantial expansion in sales volume toward the end of the analyzed period.
- Accounts Receivable Dynamics
- Net accounts receivable remained relatively stable between 1,671 million USD and 2,190 million USD from March 2022 through December 2024. However, a marked increase is observed starting in March 2026, where balances rose from 2,245 million USD to 2,620 million USD by September 2026. This growth in receivables outpaced the growth in revenue during the final three quarters, suggesting a lengthening of the collection cycle.
- Receivables Turnover Efficiency
- The receivables turnover ratio shows a long-term downward trajectory. The ratio peaked at 10.57 in December 2022 and remained largely above 9.0 throughout 2023. A shift occurred in 2024 and 2025, with the ratio consistently falling into the 8.0 range. The lowest efficiency was recorded in June 2026 at 7.72, before a slight recovery to 7.93 in September 2026.
- Correlation Between Growth and Collection
- An inverse relationship is observed between the recent surge in revenue and the turnover ratio. As revenue accelerated from 4,069 million USD in March 2025 to 6,055 million USD in September 2026, the turnover ratio generally declined. This pattern suggests that the increase in sales may have been supported by more liberal credit terms or a slower collection process, resulting in a higher proportion of sales remaining in receivables at the end of each period.
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Payables Turnover
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||
| Cost of revenue (COR) | 2,168) | 2,111) | 2,026) | 1,951) | 2,019) | 1,873) | 1,756) | 1,693) | 1,677) | 1,611) | 1,566) | 1,646) | 1,717) | 1,621) | 1,516) | 1,583) | 1,624) | 1,587) | 1,463) | ||||||
| Accounts payable | 837) | 680) | 638) | 756) | 779) | 881) | 866) | 820) | 794) | 858) | 551) | 802) | 713) | 923) | 952) | 851) | 780) | 712) | 641) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Payables turnover1 | 9.86 | 11.92 | 12.33 | 10.05 | 9.42 | 7.94 | 7.78 | 7.98 | 8.19 | 7.62 | 11.89 | 8.10 | 9.03 | 6.87 | 6.63 | 7.35 | 7.89 | 8.46 | 9.27 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Payables Turnover, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | 3.61 | 6.21 | 5.97 | 4.76 | 5.03 | 6.28 | 5.30 | 4.19 | 5.75 | 6.54 | 5.05 | 4.73 | 3.98 | 4.50 | 4.40 | 4.46 | 5.97 | 5.78 | ||||||
| Analog Devices Inc. | 6.96 | 7.56 | 7.96 | 7.81 | 8.43 | 9.43 | 10.84 | 8.30 | 9.63 | 9.94 | 10.91 | 8.98 | 7.62 | 7.76 | 8.09 | 7.70 | 8.43 | 9.01 | 8.17 | ||||||
| Broadcom Inc. | 6.96 | 10.24 | 10.41 | 13.20 | 13.88 | 14.92 | 10.10 | 11.47 | 9.62 | 10.34 | 8.56 | 9.20 | 11.34 | 13.62 | 12.31 | 11.13 | 15.27 | 9.98 | 9.80 | ||||||
| Intel Corp. | 4.08 | 4.00 | 4.85 | 3.49 | 3.35 | 3.49 | 3.33 | 2.85 | 3.20 | 3.36 | 3.78 | 3.79 | 3.77 | 3.81 | 4.30 | 3.77 | 5.21 | 4.63 | 4.92 | ||||||
| KLA Corp. | 9.80 | 11.52 | 11.28 | 10.36 | 10.61 | 10.10 | 10.97 | 10.93 | 10.94 | 10.33 | 11.34 | 11.37 | 10.30 | 7.77 | 7.96 | 8.10 | 7.98 | 8.43 | 7.79 | ||||||
| Lam Research Corp. | 10.12 | 10.05 | 11.50 | 11.07 | 10.44 | 10.33 | 11.63 | 12.79 | 14.24 | 15.69 | 16.55 | 20.50 | 17.34 | 11.33 | 8.52 | 9.25 | 8.99 | 9.31 | 10.12 | ||||||
| Marvell Technology Inc. | 6.06 | 6.56 | 6.57 | 5.44 | 6.04 | 6.50 | 9.61 | 7.81 | 7.63 | 7.48 | 7.73 | 6.29 | 5.97 | 5.52 | 4.85 | 5.20 | 4.81 | 5.03 | 5.02 | ||||||
| NVIDIA Corp. | 6.50 | 5.50 | 6.06 | 5.17 | 5.11 | 6.29 | 7.26 | 6.16 | 5.68 | 5.99 | 9.91 | 9.74 | 8.08 | 4.86 | 5.13 | 5.29 | 5.19 | 5.38 | 5.94 | ||||||
| Qualcomm Inc. | 6.96 | 6.76 | 7.44 | 7.07 | 8.20 | 7.56 | 6.94 | 6.60 | 6.37 | 6.95 | 7.52 | 8.30 | 9.67 | 12.50 | 7.17 | 4.91 | 4.72 | 4.37 | 4.28 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q3 2026 Calculation
Payables turnover
= (Cost of revenue (COR)Q3 2026
+ Cost of revenue (COR)Q2 2026
+ Cost of revenue (COR)Q1 2026
+ Cost of revenue (COR)Q4 2025)
÷ Accounts payable
= (2,168 + 2,111 + 2,026 + 1,951)
÷ 837 = 9.86
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a dynamic relationship between the cost of revenue and accounts payable, resulting in a fluctuating payables turnover ratio over the observed period. While the cost of revenue exhibits a consistent long-term upward trajectory, increasing from 1,463 million USD in March 2022 to 2,168 million USD by September 2026, accounts payable have demonstrated significant volatility, directly influencing the efficiency of supplier payments.
- Initial Deceleration Phase (March 2022 – March 2023)
- A steady decline in the payables turnover ratio is observed during this period, falling from 9.27 to a low of 6.63. This downward trend coincided with a consistent increase in accounts payable, which rose from 641 million USD to 952 million USD. This pattern indicates a strategic or operational shift toward extending payment terms with suppliers, effectively slowing the turnover of payables.
- Volatility and Correction Phase (June 2023 – December 2024)
- The turnover ratio entered a period of high volatility, characterized by a sharp spike to 11.89 in March 2024. This peak was primarily driven by a substantial reduction in accounts payable to 551 million USD, the lowest level in the analyzed timeframe. Following this correction, the ratio stabilized between 7.62 and 8.19 throughout the remainder of 2024, suggesting a return to a more normalized payment cycle relative to the cost of revenue.
- Acceleration Phase (March 2025 – September 2026)
- A general trend of acceleration in payables turnover is evident starting in 2025, with the ratio reaching a peak of 12.33 in March 2026. This increase suggests a more rapid settlement of obligations to suppliers. Despite a slight moderation to 9.86 by September 2026, the overall trend indicates a higher velocity of payment compared to the 2022-2023 period, even as the cost of revenue continued to climb toward 2,168 million USD.
Overall, the data indicates that the company has transitioned from a period of expanding its payables balance in 2022 to a more aggressive payment posture by 2026. The divergence between the steadily rising cost of revenue and the fluctuating accounts payable balances highlights an active management of short-term liabilities.
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Working Capital Turnover
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||
| Current assets | 16,880) | 15,757) | 13,796) | 13,750) | 13,876) | 14,484) | 13,086) | 15,026) | 15,872) | 16,789) | 17,448) | 15,122) | 15,097) | 15,514) | 15,023) | 14,021) | 13,772) | 13,043) | 14,010) | ||||||
| Less: Current liabilities | 3,017) | 3,244) | 3,096) | 3,159) | 3,118) | 2,492) | 2,489) | 3,643) | 3,686) | 3,637) | 3,553) | 3,320) | 2,652) | 2,711) | 2,904) | 2,985) | 2,798) | 2,560) | 2,528) | ||||||
| Working capital | 13,863) | 12,513) | 10,700) | 10,591) | 10,758) | 11,992) | 10,597) | 11,383) | 12,186) | 13,152) | 13,895) | 11,802) | 12,445) | 12,803) | 12,119) | 11,036) | 10,974) | 10,483) | 11,482) | ||||||
| Revenue | 6,055) | 5,463) | 4,825) | 4,423) | 4,742) | 4,448) | 4,069) | 4,007) | 4,151) | 3,822) | 3,661) | 4,077) | 4,532) | 4,531) | 4,379) | 4,670) | 5,241) | 5,212) | 4,905) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Working capital turnover1 | 1.50 | 1.55 | 1.72 | 1.67 | 1.60 | 1.39 | 1.51 | 1.37 | 1.29 | 1.22 | 1.21 | 1.48 | 1.46 | 1.47 | 1.61 | 1.81 | 1.84 | 1.87 | 1.65 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | 2.12 | 2.07 | 1.98 | 2.09 | 2.02 | 2.00 | 2.19 | 2.16 | 2.07 | 2.15 | 2.25 | 2.44 | 2.45 | 2.54 | 2.73 | 2.95 | 2.72 | 2.42 | ||||||
| Analog Devices Inc. | 9.80 | 3.80 | 3.59 | 2.85 | 2.63 | 3.39 | 3.38 | 3.78 | 4.38 | 5.52 | 7.75 | 10.40 | 6.41 | 6.13 | 4.61 | 4.81 | 4.94 | 4.23 | 3.50 | ||||||
| Applied Materials Inc. | 2.09 | 2.14 | 2.12 | 2.20 | 2.42 | 2.40 | 2.13 | 2.13 | 2.00 | 2.14 | 2.19 | 2.25 | 2.49 | 2.69 | 2.77 | 3.02 | 2.93 | 2.89 | 2.56 | ||||||
| Broadcom Inc. | 2.84 | 3.23 | 4.49 | 4.89 | 7.23 | 36.01 | 681.61 | 17.80 | 64.48 | 8.31 | 5.70 | 2.66 | 3.23 | 3.38 | 3.03 | 2.90 | 3.58 | 3.80 | 3.15 | ||||||
| Intel Corp. | 1.33 | 2.65 | 1.52 | 1.65 | 2.75 | 6.31 | 5.33 | 4.55 | 4.94 | 2.93 | 3.59 | 3.56 | 3.48 | 3.34 | 2.70 | 3.45 | 3.24 | 3.14 | 2.34 | ||||||
| KLA Corp. | 1.72 | 1.75 | 1.83 | 1.84 | 1.91 | 1.93 | 1.89 | 1.83 | 1.89 | 2.31 | 2.20 | 2.27 | 2.31 | 2.25 | 2.19 | 2.14 | 2.30 | 2.08 | 2.06 | ||||||
| Lam Research Corp. | 2.69 | 2.63 | 2.42 | 2.32 | 2.15 | 1.96 | 1.91 | 1.74 | 1.77 | 1.63 | 1.81 | 1.93 | 2.03 | 2.08 | 2.10 | 2.23 | 2.18 | 2.01 | 2.04 | ||||||
| Marvell Technology Inc. | 2.81 | 3.42 | 7.25 | 5.27 | 5.10 | 4.34 | 4.53 | 4.41 | 5.03 | 68.52 | 40.95 | 6.62 | 7.70 | 7.27 | 4.86 | 4.04 | 3.89 | 4.19 | 4.27 | ||||||
| Micron Technology Inc. | 1.91 | 2.14 | 2.40 | 2.15 | 1.90 | 1.86 | 1.88 | 1.66 | 1.30 | 1.07 | 1.07 | 0.94 | 1.09 | 1.39 | 1.66 | 2.16 | 2.06 | 2.14 | 2.17 | ||||||
| NVIDIA Corp. | 2.07 | 2.12 | 2.34 | 2.10 | 2.21 | 2.11 | 2.07 | 1.81 | 1.90 | 1.77 | 1.47 | 1.63 | 1.75 | 1.50 | 1.23 | 1.10 | 1.09 | 1.03 | 1.36 | ||||||
| Qualcomm Inc. | 3.80 | 3.33 | 3.03 | 2.67 | 2.53 | 2.56 | 2.53 | 2.65 | 2.75 | 2.41 | 2.54 | 2.79 | 3.21 | 3.66 | 3.90 | 4.99 | 5.88 | 4.80 | 4.53 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q3 2026 Calculation
Working capital turnover
= (RevenueQ3 2026
+ RevenueQ2 2026
+ RevenueQ1 2026
+ RevenueQ4 2025)
÷ Working capital
= (6,055 + 5,463 + 4,825 + 4,423)
÷ 13,863 = 1.50
2 Click competitor name to see calculations.
The analysis of operating activity from March 2022 through September 2026 reveals a cyclical pattern in working capital efficiency, characterized by a period of contraction followed by a sustained recovery in revenue generation relative to short-term assets and liabilities.
- Working Capital Trends
- Working capital exhibited significant volatility throughout the period. An initial increase is observed from March 2022, peaking at 13,895 million USD in March 2024. Following this peak, a downward trend occurred, reaching a low of 10,591 million USD by December 2025, before rising again to 13,863 million USD by September 2026. These fluctuations indicate shifting requirements in short-term liquidity and resource allocation.
- Revenue Performance
- Revenue patterns show a distinct U-shaped trajectory. Highs were recorded in late 2022, followed by a consistent decline that reached a trough of 3,661 million USD in March 2024. Subsequent to this low point, a strong recovery phase is evident, with revenue growing steadily to reach a period high of 6,055 million USD by September 2026.
- Working Capital Turnover Efficiency
- The working capital turnover ratio reflects the impact of the inverse relationship between revenue and working capital levels. Efficiency remained relatively strong in 2022, with ratios ranging between 1.65 and 1.87. A marked deterioration in efficiency occurred between March 2023 and March 2024, where the ratio fell to a minimum of 1.21. This decline coincides with the period of lowest revenue and peak working capital, suggesting an underutilization of short-term assets during the downturn.
- Recovery and Stabilization
- A recovery in operational efficiency began in mid-2024, with the turnover ratio climbing steadily to 1.72 by March 2026. This improvement is primarily driven by the aggressive growth in revenue that outpaced the growth in working capital. A slight moderation in the ratio to 1.50 is noted in the final two quarters of the sequence, corresponding with a rise in working capital toward the end of the analyzed period.
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Average Inventory Processing Period
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Inventory turnover | 1.77 | 1.76 | 1.68 | 1.58 | 1.52 | 1.45 | 1.44 | 1.45 | 1.51 | 1.59 | 1.60 | 1.63 | 1.65 | 1.70 | 1.92 | 2.27 | 2.56 | 2.74 | 2.88 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||
| Average inventory processing period1 | 207 | 207 | 218 | 231 | 240 | 251 | 254 | 252 | 241 | 229 | 228 | 225 | 222 | 215 | 190 | 161 | 143 | 133 | 127 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | 160 | 158 | 165 | 161 | 157 | 169 | 160 | 156 | 149 | 140 | 130 | 133 | 135 | 120 | 106 | 101 | 86 | 91 | ||||||
| Analog Devices Inc. | 148 | 149 | 148 | 142 | 141 | 137 | 135 | 131 | 127 | 128 | 131 | 135 | 140 | 136 | 129 | 114 | 96 | 97 | 100 | ||||||
| Applied Materials Inc. | 154 | 156 | 151 | 148 | 144 | 142 | 139 | 139 | 144 | 148 | 147 | 148 | 149 | 152 | 157 | 157 | 151 | 140 | 131 | ||||||
| Broadcom Inc. | 59 | 66 | 49 | 40 | 40 | 38 | 36 | 34 | 41 | 45 | 55 | 62 | 60 | 61 | 61 | 63 | 62 | 57 | 53 | ||||||
| Intel Corp. | 133 | 130 | 131 | 123 | 122 | 111 | 124 | 125 | 124 | 127 | 130 | 125 | 128 | 131 | 136 | 133 | 126 | 121 | 123 | ||||||
| KLA Corp. | 248 | 245 | 248 | 247 | 253 | 254 | 275 | 282 | 283 | 285 | 266 | 249 | 237 | 225 | 230 | 218 | 214 | 208 | 211 | ||||||
| Lam Research Corp. | 135 | 143 | 151 | 166 | 183 | 187 | 188 | 196 | 208 | 206 | 198 | 182 | 171 | 169 | 163 | 155 | 140 | 126 | 124 | ||||||
| Marvell Technology Inc. | 96 | 96 | 106 | 111 | 97 | 101 | 98 | 98 | 107 | 120 | 125 | 133 | 123 | 123 | 114 | 110 | 108 | 90 | 129 | ||||||
| Micron Technology Inc. | 126 | 125 | 129 | 136 | 150 | 161 | 158 | 166 | 164 | 168 | 163 | 181 | 182 | 177 | 192 | 144 | 119 | 116 | 101 | ||||||
| NVIDIA Corp. | 129 | 110 | 93 | 113 | 102 | 105 | 109 | 116 | 129 | 136 | 149 | 162 | 135 | 121 | 112 | 101 | 94 | 97 | 100 | ||||||
| Qualcomm Inc. | 152 | 134 | 121 | 121 | 121 | 121 | 128 | 137 | 133 | 138 | 141 | 148 | 144 | 140 | 138 | 124 | 112 | 102 | 93 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 1.77 = 207
2 Click competitor name to see calculations.
The analyzed period reveals a significant cyclical movement in inventory management efficiency, characterized by a prolonged phase of increasing inventory residence times followed by a gradual recovery in turnover velocity.
- Inventory Turnover Trends
- A consistent decline in the inventory turnover ratio is observed from March 2022, where it stood at 2.88, reaching a low of 1.44 by March 2025. This downward trajectory indicates a reduction in the frequency with which inventory was sold and replaced over a three-year period. However, a reversal is noted starting in June 2025, with the ratio steadily climbing to 1.77 by September 2026, signaling a recovery in operational efficiency.
- Average Inventory Processing Period Analysis
- The processing period exhibits a direct inverse relationship with turnover rates, increasing from 127 days in March 2022 to a peak of 254 days in March 2025. This expansion represents a nearly 100% increase in the time required to convert inventory into sales. Following this peak, the processing period begins a steady contraction, descending to 207 days by September 2026.
- Operational Implications
- The data indicates a period of substantial inventory accumulation or a slowing of demand between early 2022 and early 2025, which constrained the liquidity of current assets. The subsequent trend from mid-2025 through 2026 suggests a successful optimization of inventory levels or a revitalization of market demand, leading to a more streamlined operating cycle.
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Average Receivable Collection Period
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Receivables turnover | 7.93 | 7.72 | 8.21 | 9.01 | 8.37 | 8.62 | 8.63 | 9.10 | 8.44 | 9.41 | 10.05 | 9.80 | 9.17 | 9.62 | 10.39 | 10.57 | 9.90 | 8.95 | 10.56 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||
| Average receivable collection period1 | 46 | 47 | 44 | 41 | 44 | 42 | 42 | 40 | 43 | 39 | 36 | 37 | 40 | 38 | 35 | 35 | 37 | 41 | 35 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | 64 | 59 | 67 | 71 | 63 | 72 | 88 | 109 | 90 | 81 | 87 | 83 | 72 | 64 | 64 | 69 | 69 | 71 | ||||||
| Analog Devices Inc. | 63 | 59 | 42 | 48 | 55 | 51 | 47 | 52 | 42 | 35 | 38 | 44 | 46 | 46 | 47 | 55 | 57 | 60 | 71 | ||||||
| Applied Materials Inc. | 91 | 80 | 64 | 67 | 74 | 80 | 79 | 70 | 68 | 66 | 65 | 71 | 72 | 76 | 75 | 86 | 72 | 72 | 67 | ||||||
| Broadcom Inc. | 56 | 52 | 45 | 41 | 40 | 36 | 33 | 31 | 36 | 47 | 47 | 32 | 30 | 32 | 34 | 33 | 31 | 38 | 33 | ||||||
| Intel Corp. | 25 | 26 | 28 | 27 | 22 | 16 | 21 | 24 | 21 | 21 | 22 | 23 | 20 | 20 | 25 | 24 | 39 | 30 | 33 | ||||||
| KLA Corp. | 64 | 59 | 66 | 68 | 68 | 79 | 70 | 68 | 62 | 70 | 59 | 61 | 67 | 79 | 69 | 72 | 68 | 77 | 72 | ||||||
| Lam Research Corp. | 70 | 62 | 68 | 67 | 69 | 74 | 69 | 62 | 56 | 69 | 65 | 59 | 63 | 78 | 93 | 91 | 81 | 75 | 79 | ||||||
| Marvell Technology Inc. | 72 | 73 | 64 | 65 | 68 | 73 | 60 | 74 | 81 | 79 | 63 | 74 | 87 | 85 | 86 | 86 | 91 | 83 | 82 | ||||||
| Micron Technology Inc. | 125 | 109 | 88 | 90 | 80 | 76 | 93 | 96 | 88 | 86 | 66 | 57 | 49 | 36 | 45 | 61 | 70 | 63 | 65 | ||||||
| NVIDIA Corp. | 65 | 61 | 54 | 65 | 57 | 54 | 57 | 60 | 68 | 79 | 58 | 52 | 63 | 65 | 67 | 63 | 59 | 60 | 57 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 7.93 = 46
2 Click competitor name to see calculations.
An analysis of the short-term operating activity indicates a gradual decline in the efficiency of receivable collections over the period from March 31, 2022, to September 30, 2026. There is a clear inverse correlation between the receivables turnover ratio and the average collection period, reflecting a systemic slowing in the conversion of credit sales into cash.
- Receivables Turnover Trend
- The receivables turnover ratio exhibited a general downward trajectory, starting at a peak of 10.56 in March 2022 and ending at 7.93 by September 2026. While the ratio remained relatively stable above 9.00 throughout much of 2022 and 2023, a more pronounced decline began in 2024, eventually dropping to a period low of 7.72 in June 2026. This reduction suggests a decrease in the frequency with which the company collects its average receivable balance during each operating cycle.
- Average Receivable Collection Period
- The average collection period demonstrates a corresponding increase, moving from 35 days in early 2022 to 46 days by September 2026. The collection cycle remained largely consistent between 35 and 41 days through 2023. However, from March 2024 onward, the period consistently stayed at or above 40 days, reaching a maximum of 47 days in June 2026. This represents an expansion of the cash conversion cycle by approximately 31% over the analyzed timeframe.
- Operational Implications
- The simultaneous decline in turnover and the extension of the collection period indicate a shift in credit management or customer payment behavior. The transition from a 35-day cycle to a 46-day cycle implies that capital is tied up in receivables for a longer duration, which may impact short-term liquidity and increase the company's exposure to credit risk over time.
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Operating Cycle
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Average inventory processing period | 207 | 207 | 218 | 231 | 240 | 251 | 254 | 252 | 241 | 229 | 228 | 225 | 222 | 215 | 190 | 161 | 143 | 133 | 127 | ||||||
| Average receivable collection period | 46 | 47 | 44 | 41 | 44 | 42 | 42 | 40 | 43 | 39 | 36 | 37 | 40 | 38 | 35 | 35 | 37 | 41 | 35 | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Operating cycle1 | 253 | 254 | 262 | 272 | 284 | 293 | 296 | 292 | 284 | 268 | 264 | 262 | 262 | 253 | 225 | 196 | 180 | 174 | 162 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | 224 | 217 | 232 | 232 | 220 | 241 | 248 | 265 | 239 | 221 | 217 | 216 | 207 | 184 | 170 | 170 | 155 | 162 | ||||||
| Analog Devices Inc. | 211 | 208 | 190 | 190 | 196 | 188 | 182 | 183 | 169 | 163 | 169 | 179 | 186 | 182 | 176 | 169 | 153 | 157 | 171 | ||||||
| Applied Materials Inc. | 245 | 236 | 215 | 215 | 218 | 222 | 218 | 209 | 212 | 214 | 212 | 219 | 221 | 228 | 232 | 243 | 223 | 212 | 198 | ||||||
| Broadcom Inc. | 115 | 118 | 94 | 81 | 80 | 74 | 69 | 65 | 77 | 92 | 102 | 94 | 90 | 93 | 95 | 96 | 93 | 95 | 86 | ||||||
| Intel Corp. | 158 | 156 | 159 | 150 | 144 | 127 | 145 | 149 | 145 | 148 | 152 | 148 | 148 | 151 | 161 | 157 | 165 | 151 | 156 | ||||||
| KLA Corp. | 312 | 304 | 314 | 315 | 321 | 333 | 345 | 350 | 345 | 355 | 325 | 310 | 304 | 304 | 299 | 290 | 282 | 285 | 283 | ||||||
| Lam Research Corp. | 205 | 205 | 219 | 233 | 252 | 261 | 257 | 258 | 264 | 275 | 263 | 241 | 234 | 247 | 256 | 246 | 221 | 201 | 203 | ||||||
| Marvell Technology Inc. | 168 | 169 | 170 | 176 | 165 | 174 | 158 | 172 | 188 | 199 | 188 | 207 | 210 | 208 | 200 | 196 | 199 | 173 | 211 | ||||||
| Micron Technology Inc. | 251 | 234 | 217 | 226 | 230 | 237 | 251 | 262 | 252 | 254 | 229 | 238 | 231 | 213 | 237 | 205 | 189 | 179 | 166 | ||||||
| NVIDIA Corp. | 194 | 171 | 147 | 178 | 159 | 159 | 166 | 176 | 197 | 215 | 207 | 214 | 198 | 186 | 179 | 164 | 153 | 157 | 157 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 207 + 46 = 253
2 Click competitor name to see calculations.
The operating cycle exhibits a significant expansion phase from early 2022, peaking in the first quarter of 2025, followed by a period of gradual contraction. This trajectory is primarily driven by substantial fluctuations in inventory management, while the collection of receivables remained relatively stable throughout the observed period.
- Average Inventory Processing Period
- A prolonged upward trend is observed from March 2022, where the period stood at 127 days, increasing steadily to a peak of 254 days by March 2025. This represents a nearly twofold increase in the time required to process inventory. Following this peak, a consistent decline is noted, with the period retreating to 207 days by September 2026, suggesting a phase of inventory optimization or a reduction in stockpiling.
- Average Receivable Collection Period
- The collection period demonstrates relative stability with a slight upward drift. Starting at 35 days in March 2022, the metric fluctuated within a narrow band before trending slightly higher toward the end of the period, reaching 46 to 47 days by mid-2026. This indicates a marginal deceleration in the speed of cash recovery from customers, though the impact is minimal compared to inventory shifts.
- Operating Cycle
- The total operating cycle mirrors the movements of the inventory processing period. The cycle expanded from 162 days in March 2022 to a maximum of 296 days in March 2025. The subsequent contraction to 253 days by September 2026 confirms that the overall efficiency of the operating cycle is heavily sensitive to inventory turnover rates rather than changes in credit and collection policies.
The correlation between the inventory processing period and the total operating cycle is nearly absolute, indicating that working capital tied up in operations was predominantly impacted by inventory levels. The late-period reduction in the operating cycle suggests an improvement in operational efficiency or a strategic shift in supply chain management.
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Average Payables Payment Period
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Payables turnover | 9.86 | 11.92 | 12.33 | 10.05 | 9.42 | 7.94 | 7.78 | 7.98 | 8.19 | 7.62 | 11.89 | 8.10 | 9.03 | 6.87 | 6.63 | 7.35 | 7.89 | 8.46 | 9.27 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||
| Average payables payment period1 | 37 | 31 | 30 | 36 | 39 | 46 | 47 | 46 | 45 | 48 | 31 | 45 | 40 | 53 | 55 | 50 | 46 | 43 | 39 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | 101 | 59 | 61 | 77 | 73 | 58 | 69 | 87 | 63 | 56 | 72 | 77 | 92 | 81 | 83 | 82 | 61 | 63 | ||||||
| Analog Devices Inc. | 52 | 48 | 46 | 47 | 43 | 39 | 34 | 44 | 38 | 37 | 33 | 41 | 48 | 47 | 45 | 47 | 43 | 41 | 45 | ||||||
| Broadcom Inc. | 52 | 36 | 35 | 28 | 26 | 24 | 36 | 32 | 38 | 35 | 43 | 40 | 32 | 27 | 30 | 33 | 24 | 37 | 37 | ||||||
| Intel Corp. | 90 | 91 | 75 | 105 | 109 | 104 | 110 | 128 | 114 | 109 | 97 | 96 | 97 | 96 | 85 | 97 | 70 | 79 | 74 | ||||||
| KLA Corp. | 37 | 32 | 32 | 35 | 34 | 36 | 33 | 33 | 33 | 35 | 32 | 32 | 35 | 47 | 46 | 45 | 46 | 43 | 47 | ||||||
| Lam Research Corp. | 36 | 36 | 32 | 33 | 35 | 35 | 31 | 29 | 26 | 23 | 22 | 18 | 21 | 32 | 43 | 39 | 41 | 39 | 36 | ||||||
| Marvell Technology Inc. | 60 | 56 | 56 | 67 | 60 | 56 | 38 | 47 | 48 | 49 | 47 | 58 | 61 | 66 | 75 | 70 | 76 | 73 | 73 | ||||||
| NVIDIA Corp. | 56 | 66 | 60 | 71 | 71 | 58 | 50 | 59 | 64 | 61 | 37 | 37 | 45 | 75 | 71 | 69 | 70 | 68 | 61 | ||||||
| Qualcomm Inc. | 52 | 54 | 49 | 52 | 44 | 48 | 53 | 55 | 57 | 52 | 49 | 44 | 38 | 29 | 51 | 74 | 77 | 83 | 85 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 9.86 = 37
2 Click competitor name to see calculations.
The average payables payment period exhibits a cyclical and volatile pattern over the analyzed period, fluctuating between a minimum of 30 days and a maximum of 55 days. This variability indicates shifting strategies in working capital management and varying terms of settlement with suppliers.
- Initial Extension Phase (March 2022 – March 2023)
- A consistent upward trend in the payment period is observed, rising from 39 days in March 2022 to a peak of 55 days by March 2023. This expansion corresponds with a decline in payables turnover, which dropped from 9.27 to 6.63 during the same interval, suggesting a strategic effort to preserve cash by extending supplier payment terms.
- Contraction and Volatility (June 2023 – March 2024)
- A sharp reversal occurred starting in mid-2023, with the payment period falling to 40 days in September 2023 and reaching a local minimum of 31 days by March 2024. This contraction is reflected in a significant spike in payables turnover, which reached 11.89, indicating a rapid acceleration in the settlement of obligations.
- Stabilization Period (June 2024 – June 2025)
- The payment cycle entered a phase of relative stability throughout 2024 and the first half of 2025. The average payment period remained concentrated between 45 and 48 days, with payables turnover fluctuating within a narrow range between 7.62 and 8.19.
- Secondary Acceleration and Final Adjustment (September 2025 – September 2026)
- A second pronounced decline in payment days occurred in late 2025, culminating in a period minimum of 30 days by March 2026. This period coincided with the highest recorded payables turnover of 12.33. Subsequently, the payment period began to lengthen again, reaching 37 days by September 2026, while turnover moderated to 9.86.
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Cash Conversion Cycle
| Sep 30, 2026 | Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Average inventory processing period | 207 | 207 | 218 | 231 | 240 | 251 | 254 | 252 | 241 | 229 | 228 | 225 | 222 | 215 | 190 | 161 | 143 | 133 | 127 | ||||||
| Average receivable collection period | 46 | 47 | 44 | 41 | 44 | 42 | 42 | 40 | 43 | 39 | 36 | 37 | 40 | 38 | 35 | 35 | 37 | 41 | 35 | ||||||
| Average payables payment period | 37 | 31 | 30 | 36 | 39 | 46 | 47 | 46 | 45 | 48 | 31 | 45 | 40 | 53 | 55 | 50 | 46 | 43 | 39 | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Cash conversion cycle1 | 216 | 223 | 232 | 236 | 245 | 247 | 249 | 246 | 239 | 220 | 233 | 217 | 222 | 200 | 170 | 146 | 134 | 131 | 123 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | 123 | 158 | 171 | 155 | 147 | 183 | 179 | 178 | 176 | 165 | 145 | 139 | 115 | 103 | 87 | 88 | 94 | 99 | ||||||
| Analog Devices Inc. | 159 | 160 | 144 | 143 | 153 | 149 | 148 | 139 | 131 | 126 | 136 | 138 | 138 | 135 | 131 | 122 | 110 | 116 | 126 | ||||||
| Broadcom Inc. | 63 | 82 | 59 | 53 | 54 | 50 | 33 | 33 | 39 | 57 | 59 | 54 | 58 | 66 | 65 | 63 | 69 | 58 | 49 | ||||||
| Intel Corp. | 68 | 65 | 84 | 45 | 35 | 23 | 35 | 21 | 31 | 39 | 55 | 52 | 51 | 55 | 76 | 60 | 95 | 72 | 82 | ||||||
| KLA Corp. | 275 | 272 | 282 | 280 | 287 | 297 | 312 | 317 | 312 | 320 | 293 | 278 | 269 | 257 | 253 | 245 | 236 | 242 | 236 | ||||||
| Lam Research Corp. | 169 | 169 | 187 | 200 | 217 | 226 | 226 | 229 | 238 | 252 | 241 | 223 | 213 | 215 | 213 | 207 | 180 | 162 | 167 | ||||||
| Marvell Technology Inc. | 108 | 113 | 114 | 109 | 105 | 118 | 120 | 125 | 140 | 150 | 141 | 149 | 149 | 142 | 125 | 126 | 123 | 100 | 138 | ||||||
| NVIDIA Corp. | 138 | 105 | 87 | 107 | 88 | 101 | 116 | 117 | 133 | 154 | 170 | 177 | 153 | 111 | 108 | 95 | 83 | 89 | 96 | ||||||
Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 207 + 46 – 37 = 216
2 Click competitor name to see calculations.
The overall cash conversion cycle exhibits a significant expansion from early 2022 through early 2025, followed by a period of gradual contraction. The cycle lengthened from 123 days in March 2022 to a peak of 249 days in March 2025, indicating a substantial increase in the time required to convert resource inputs into cash flows.
- Average Inventory Processing Period
- A pronounced upward trend is observed in inventory processing, with the period increasing from 127 days in March 2022 to a peak of 254 days in March 2025. This represents the primary driver of the expanded cash conversion cycle. Following the peak, a consistent downward trend emerges, with the period reducing to 207 days by September 2026, suggesting a gradual improvement in inventory turnover or a strategic reduction in stock levels.
- Average Receivable Collection Period
- The collection period remains relatively stable throughout the analyzed timeframe, though a slight upward trajectory is noted. The period fluctuated between a low of 35 days and a high of 47 days. While the increase is marginal compared to inventory shifts, the move toward 46-47 days in the final quarters indicates a slight slowing in the recovery of receivables.
- Average Payables Payment Period
- Payment periods show volatility without a clear long-term directional trend. The period peaked at 55 days in March 2023 before experiencing a decline to 30 days by March 2026. This reduction in the payment period accelerated cash outflows to suppliers, which further contributed to the lengthening of the overall cash conversion cycle during the 2025-2026 window.
- Cash Conversion Cycle Integration
- The total cash conversion cycle is dominated by the inventory processing period. The expansion from 123 to 249 days reflects a period of heightened working capital intensity. The subsequent decline to 216 days by September 2026 is primarily attributable to the reduction in inventory days, as the relatively stable receivables and lower payables periods provided minimal offset to the inventory-driven volatility.
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