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: 2026-09-26), 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
The analysis of short-term operating activity ratios reveals a period of significant volatility in working capital management, characterized by a strategic expansion of payment terms and fluctuating efficiency in asset utilization. While inventory management remained relatively stable, there were marked shifts in the collection of receivables and the timing of payables, which heavily influenced the overall cash conversion cycle.
- Inventory Management
- Inventory turnover exhibits a consistent range, fluctuating between 2.68 and 3.28. This stability is reflected in the average inventory processing period, which generally remains between 120 and 135 days. A peak in efficiency occurred in June 2025, where turnover reached 3.28 and the processing period dropped to 111 days, followed by a gradual return to a processing period of 133 days by September 2026.
- Receivables Efficiency
- A notable improvement in receivables turnover is observed from April 2022 (10.98) through March 2025, where it peaked at 22.49. Correspondingly, the average receivable collection period tightened from 33 days to a low of 16 days during the same period. However, a subsequent trend of deceleration is evident, with the collection period extending back to 25 days by September 2026, indicating a potential relaxation of credit terms or slower customer payments in the latter stages of the period.
- Payables and Vendor Relations
- The payables turnover ratio shows a general downward trend from 4.92 in early 2022 to a low of 2.85 in December 2024. This indicates a strategic extension of the average payables payment period, which increased from 74 days to a peak of 128 days. This trend suggests a shift toward utilizing vendor credit as a primary source of short-term financing. A sharp correction occurred in March 2026, where the payment period dropped to 75 days before stabilizing around 90 days.
- Working Capital and Cycle Analysis
- The operating cycle remained relatively consistent, generally oscillating between 145 and 165 days. However, the cash conversion cycle (CCC) experienced dramatic fluctuations. The CCC was reduced from 82 days in April 2022 to a low of 21 days in December 2024, primarily driven by the extension of payables. This efficiency gain reversed sharply in March 2026, with the CCC spiking to 84 days, coinciding with the reduction in the payables payment period.
- Asset Utilization
- Working capital turnover demonstrates extreme volatility, rising from 2.34 to a peak of 6.31 in June 2025, before falling precipitously to 1.33 by September 2026. This pattern suggests significant fluctuations in the volume of current assets relative to revenue generation, highlighting instability in short-term operational efficiency toward the end of the observed period.
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Inventory Turnover
| Sep 26, 2026 | Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||
| Cost of sales | 9,417) | 9,619) | 8,230) | 8,731) | 8,435) | 9,317) | 7,995) | 8,676) | 11,287) | 8,286) | 7,507) | 8,359) | 8,140) | 8,311) | 7,707) | 8,542) | 8,803) | 9,734) | 9,109) | ||||||
| Inventories | 13,068) | 12,492) | 12,426) | 11,618) | 11,489) | 11,377) | 12,281) | 12,198) | 12,062) | 11,244) | 11,494) | 11,127) | 11,466) | 11,984) | 12,993) | 13,224) | 12,831) | 12,174) | 11,935) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Inventory turnover1 | 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 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 1.83 | 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 | ||||||
| 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 | ||||||
| Texas Instruments Inc. | 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 | ||||||
Based on: 10-Q (reporting date: 2026-09-26), 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Inventory turnover
= (Cost of salesQ3 2026
+ Cost of salesQ2 2026
+ Cost of salesQ1 2026
+ Cost of salesQ4 2025)
÷ Inventories
= (9,417 + 9,619 + 8,230 + 8,731)
÷ 13,068 = 2.75
2 Click competitor name to see calculations.
Inventory management efficiency exhibits a cyclical pattern over the analyzed period, with the turnover ratio fluctuating between a low of 2.68 and a peak of 3.28. This volatility reflects a shifting balance between the cost of sales and the volume of inventory held.
- Initial Decline and Recovery (2022-2023)
- A downward trend in turnover efficiency is observed from July 2022 to April 2023, with the ratio dropping from 3.02 to 2.68. This decline is associated with an increase in inventory levels, which peaked at 13,224 million in December 2022, coinciding with a general contraction in the cost of sales. A subsequent recovery occurred throughout 2023, as inventory levels were reduced to 11,127 million by December, driving the turnover ratio back up to 2.92.
- Stability and Peak Performance (2024-2025)
- The turnover ratio remained relatively stable throughout 2024, oscillating within a narrow band between 2.81 and 2.94. A significant increase in efficiency is noted in June 2025, where the ratio reached its maximum value of 3.28. This peak was driven by a combination of rising cost of sales (9,317 million) and a simultaneous reduction in inventory holdings to 11,377 million.
- Recent Accumulation and Efficiency Compression (2025-2026)
- Following the 2025 peak, a gradual decline in the turnover ratio is observed, ending at 2.75 in September 2026. This trend is characterized by a steady accumulation of inventory, which rose from 11,489 million in July 2025 to 13,068 million by September 2026. The increase in inventory levels outpaced the growth in the cost of sales, resulting in a compression of the turnover ratio toward the end of the period.
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Receivables Turnover
| Sep 26, 2026 | Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||
| Net revenue | 16,513) | 16,128) | 13,577) | 13,674) | 13,653) | 12,859) | 12,667) | 14,260) | 13,284) | 12,833) | 12,724) | 15,406) | 14,158) | 12,949) | 11,715) | 14,042) | 15,338) | 15,321) | 18,353) | ||||||
| Accounts receivable, net | 4,093) | 4,033) | 4,066) | 3,839) | 3,202) | 2,360) | 3,064) | 3,478) | 3,121) | 3,131) | 3,323) | 3,402) | 2,843) | 2,996) | 3,847) | 4,133) | 7,469) | 6,063) | 7,074) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Receivables turnover1 | 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 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 4.93 | 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 | ||||||
| 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 | ||||||
| Texas Instruments Inc. | 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 | ||||||
Based on: 10-Q (reporting date: 2026-09-26), 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Receivables turnover
= (Net revenueQ3 2026
+ Net revenueQ2 2026
+ Net revenueQ1 2026
+ Net revenueQ4 2025)
÷ Accounts receivable, net
= (16,513 + 16,128 + 13,577 + 13,674)
÷ 4,093 = 14.63
2 Click competitor name to see calculations.
The receivables turnover ratio for the analyzed period exhibits significant volatility, characterized by an initial phase of rapid efficiency gains followed by a period of stabilization. While net revenues experienced a cyclical downturn and subsequent recovery, the management of accounts receivable demonstrated a marked shift toward higher turnover rates starting in late 2022.
- Correlation Between Revenue and Receivables Management
- A notable divergence occurred between April 2022 and September 2023. During this period, net revenue decreased from 18.35 billion to 14.16 billion; however, accounts receivable were reduced more aggressively, falling from 7.07 billion to 2.84 billion. This strategic reduction in the receivables balance resulted in the turnover ratio climbing from 10.98 to a period peak of 18.59, indicating a significant acceleration in the collection of outstanding invoices.
- Analysis of Efficiency Peaks
- The highest level of collection efficiency was recorded in June 2025, with the turnover ratio reaching 22.49. This spike coincided with a sharp contraction in net accounts receivable to 2.36 billion. Following this peak, the ratio experienced a downward correction, declining to 13.77 by September 2025, as receivables balances began to rise again to 3.20 billion.
- Recent Trends and Stabilization
- Entering 2026, a pattern of stabilization is observed. As net revenue recovered and grew to 16.51 billion by September 2026, accounts receivable also increased to 4.09 billion. This synchronized growth led the turnover ratio to settle within a range of 13.22 to 14.63. This suggests a normalization of credit terms and collection cycles as the company returned to higher revenue levels.
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Payables Turnover
| Sep 26, 2026 | Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||
| Cost of sales | 9,417) | 9,619) | 8,230) | 8,731) | 8,435) | 9,317) | 7,995) | 8,676) | 11,287) | 8,286) | 7,507) | 8,359) | 8,140) | 8,311) | 7,707) | 8,542) | 8,803) | 9,734) | 9,109) | ||||||
| Accounts payable | 8,831) | 8,756) | 7,159) | 9,882) | 10,268) | 10,666) | 10,896) | 12,556) | 11,074) | 9,618) | 8,559) | 8,578) | 8,669) | 8,757) | 8,083) | 9,595) | 7,133) | 7,945) | 7,210) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Payables turnover1 | 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 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Payables Turnover, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 2.71 | 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 | ||||||
| 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 | ||||||
| Texas Instruments Inc. | 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 | ||||||
Based on: 10-Q (reporting date: 2026-09-26), 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Payables turnover
= (Cost of salesQ3 2026
+ Cost of salesQ2 2026
+ Cost of salesQ1 2026
+ Cost of salesQ4 2025)
÷ Accounts payable
= (9,417 + 9,619 + 8,230 + 8,731)
÷ 8,831 = 4.08
2 Click competitor name to see calculations.
The analysis of payables turnover reveals a cyclical pattern characterized by a prolonged decline in efficiency followed by a corrective recovery phase. Between April 2022 and December 2024, the ratio exhibited a consistent downward trend, indicating an increase in the average time required to settle obligations with suppliers.
- Phase of Decline and Minimum Threshold
- The payables turnover ratio decreased from a high of 4.92 in April 2022 to a period low of 2.85 by December 2024. This contraction was primarily driven by a substantial increase in accounts payable, which rose from $7.21 billion in early 2022 to a peak of $12.56 billion in December 2024. The growth in liabilities significantly outpaced the growth in the cost of sales during this window, leading to a slower turnover of payables.
- Operational Cost Correlation
- Cost of sales demonstrated moderate volatility, with a notable peak of $11.29 billion in September 2024. Despite this increase in operational expenditure, the simultaneous rise in accounts payable ensured that the turnover ratio continued to decline, reaching its lowest points between September and December 2024. This suggests a strategic or systemic shift toward extending payment terms during this period.
- Recovery and Recent Stabilization
- A significant reversal is observed starting in 2025, culminating in a sharp increase in the turnover ratio to 4.85 by March 2026. This rebound coincides with a marked reduction in accounts payable, which fell to $7.16 billion in the first quarter of 2026. Following this peak, the ratio stabilized, fluctuating between 4.00 and 4.08 through September 2026, suggesting a return to a more normalized payment cycle.
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Working Capital Turnover
| Sep 26, 2026 | Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||
| Current assets | 82,574) | 57,213) | 62,157) | 63,688) | 51,731) | 43,375) | 42,134) | 47,324) | 46,137) | 50,829) | 42,608) | 43,269) | 43,811) | 43,356) | 48,314) | 50,407) | 49,263) | 50,588) | 62,568) | ||||||
| Less: Current liabilities | 37,396) | 35,670) | 26,885) | 31,575) | 32,297) | 34,966) | 32,174) | 35,666) | 35,159) | 32,027) | 27,213) | 28,053) | 28,614) | 27,180) | 27,393) | 32,155) | 27,813) | 27,218) | 29,322) | ||||||
| Working capital | 45,178) | 21,543) | 35,272) | 32,113) | 19,434) | 8,409) | 9,960) | 11,658) | 10,978) | 18,802) | 15,395) | 15,216) | 15,197) | 16,176) | 20,921) | 18,252) | 21,450) | 23,370) | 33,246) | ||||||
| Net revenue | 16,513) | 16,128) | 13,577) | 13,674) | 13,653) | 12,859) | 12,667) | 14,260) | 13,284) | 12,833) | 12,724) | 15,406) | 14,158) | 12,949) | 11,715) | 14,042) | 15,338) | 15,321) | 18,353) | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Working capital turnover1 | 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 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 1.82 | 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 | ||||||
| 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 | ||||||
| Texas Instruments Inc. | 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 | ||||||
Based on: 10-Q (reporting date: 2026-09-26), 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Working capital turnover
= (Net revenueQ3 2026
+ Net revenueQ2 2026
+ Net revenueQ1 2026
+ Net revenueQ4 2025)
÷ Working capital
= (16,513 + 16,128 + 13,577 + 13,674)
÷ 45,178 = 1.33
2 Click competitor name to see calculations.
A significant fluctuation in working capital is observed over the analyzed period, characterized by a prolonged contraction followed by a rapid expansion. From April 2022 to June 2025, working capital decreased from 33,246 million to a low of 8,409 million. This trend reversed sharply in the latter part of the period, with working capital ascending to 45,178 million by September 2026. During these shifts, net revenue remained relatively stable, fluctuating primarily between 12,000 million and 16,000 million, with an initial peak of 18,353 million in April 2022.
- Working Capital Turnover Efficiency (2022–2024)
- An overall upward trend in the turnover ratio was evident from April 2022 through March 2024, moving from 2.34 to 3.59. This indicates an improvement in the efficiency of working capital utilization relative to revenue generation, as the company managed to maintain stable sales levels while reducing its working capital requirements.
- Peak Operational Leverage (2024–2025)
- The ratio reached a maximum peak of 6.31 in June 2025. This spike corresponds directly with the lowest point of working capital (8,409 million) occurring alongside steady revenue. This suggests a period of extreme lean management or a significant reduction in current assets that temporarily amplified the turnover ratio.
- Capital Accumulation and Ratio Decline (2025–2026)
- A precipitous decline in the working capital turnover ratio is observed from June 2025 to September 2026, where the ratio fell from 6.31 to 1.33. This deterioration is attributed to the rapid increase in working capital, which surged to 45,178 million. Because the growth in working capital vastly outpaced the growth in net revenue, the efficiency of capital usage decreased significantly.
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Average Inventory Processing Period
| Sep 26, 2026 | Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Inventory turnover | 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 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||
| Average inventory processing period1 | 133 | 130 | 131 | 123 | 122 | 111 | 124 | 125 | 124 | 127 | 130 | 125 | 128 | 131 | 136 | 133 | 126 | 121 | 123 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 199 | 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 | ||||||
| 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 | ||||||
| Texas Instruments Inc. | 207 | 207 | 218 | 231 | 240 | 251 | 254 | 252 | 241 | 229 | 228 | 225 | 222 | 215 | 190 | 161 | 143 | 133 | 127 | ||||||
Based on: 10-Q (reporting date: 2026-09-26), 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.75 = 133
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a fluctuating trend in inventory management efficiency between April 2022 and September 2026. The average inventory processing period experienced a cyclical pattern characterized by an initial expansion, a period of optimization, and a subsequent recent increase in the time required to move inventory.
- Average Inventory Processing Period Trends
- A gradual increase in the processing period is observed from April 2022, starting at 123 days and peaking at 136 days in April 2023. This upward trend suggests a slowdown in inventory liquidation during the first year of the analyzed period. A subsequent correction occurred through 2024, leading to a significant efficiency peak in June 2025, where the processing period reached its minimum of 111 days. However, from July 2025 through September 2026, the period expanded once more, concluding at 133 days.
- Inventory Turnover Correlation
- An inverse correlation is evident between the inventory turnover ratio and the processing period. The highest turnover ratio of 3.28 recorded in June 2025 corresponds directly with the lowest processing period of 111 days. Conversely, the lowest turnover ratio of 2.68 observed in April 2023 aligns with the maximum processing period of 136 days, confirming that declines in turnover ratios consistently result in extended inventory holding times.
- Operational Efficiency Observations
- The data indicates a period of relative stability between December 2023 and March 2025, with processing times maintaining a tight range between 124 and 130 days. The sharp decline in days during the first half of 2025 suggests a temporary improvement in operational throughput or a strategic reduction in inventory levels. This efficiency gain was not sustained, as the latter half of 2025 and the majority of 2026 show a return to longer processing cycles, ending with a three-quarter trend of increasing days from 130 to 133.
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Average Receivable Collection Period
| Sep 26, 2026 | Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Receivables turnover | 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 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||
| Average receivable collection period1 | 25 | 26 | 28 | 27 | 22 | 16 | 21 | 24 | 21 | 21 | 22 | 23 | 20 | 20 | 25 | 24 | 39 | 30 | 33 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 74 | 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 | ||||||
| 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 | ||||||
| Texas Instruments Inc. | 46 | 47 | 44 | 41 | 44 | 42 | 42 | 40 | 43 | 39 | 36 | 37 | 40 | 38 | 35 | 35 | 37 | 41 | 35 | ||||||
Based on: 10-Q (reporting date: 2026-09-26), 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 14.63 = 25
2 Click competitor name to see calculations.
The analysis of receivables management reveals a period of initial volatility followed by a phase of significant operational optimization and a subsequent moderate regression in collection velocity.
- Receivables Turnover Trends
- The receivables turnover ratio exhibited a general upward trajectory from early 2022 through mid-2025. After an initial low of 9.31 in October 2022, the ratio climbed steadily, reaching a peak of 22.49 by June 2025. This progression indicates a marked increase in the efficiency of converting accounts receivable into cash. However, a reversal is observed starting in the second half of 2025, with the ratio declining and eventually stabilizing at 14.63 by September 2026.
- Average Receivable Collection Period Dynamics
- The average receivable collection period demonstrates a strong inverse correlation with the turnover ratio. A period of relative inefficiency is noted in 2022, with the collection period peaking at 39 days in October. This was followed by a substantial improvement throughout 2023 and 2024, where the period consistently fluctuated between 20 and 25 days. The highest level of collection efficiency was achieved in June 2025, when the collection period reached a minimum of 16 days.
- Recent Performance Observations
- In the final stages of the analyzed period, a gradual increase in the collection timeframe is evident. From the June 2025 low of 16 days, the period extended to 27 days by September 2025 and peaked at 28 days in March 2026. By September 2026, the collection period settled at 25 days. This trend suggests a slight deterioration in the speed of payment collections or a strategic adjustment in credit terms offered to customers during the 2026 fiscal period.
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Operating Cycle
| Sep 26, 2026 | Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Average inventory processing period | 133 | 130 | 131 | 123 | 122 | 111 | 124 | 125 | 124 | 127 | 130 | 125 | 128 | 131 | 136 | 133 | 126 | 121 | 123 | ||||||
| Average receivable collection period | 25 | 26 | 28 | 27 | 22 | 16 | 21 | 24 | 21 | 21 | 22 | 23 | 20 | 20 | 25 | 24 | 39 | 30 | 33 | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Operating cycle1 | 158 | 156 | 159 | 150 | 144 | 127 | 145 | 149 | 145 | 148 | 152 | 148 | 148 | 151 | 161 | 157 | 165 | 151 | 156 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 273 | 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 | ||||||
| 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 | ||||||
| Texas Instruments Inc. | 253 | 254 | 262 | 272 | 284 | 293 | 296 | 292 | 284 | 268 | 264 | 262 | 262 | 253 | 225 | 196 | 180 | 174 | 162 | ||||||
Based on: 10-Q (reporting date: 2026-09-26), 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 133 + 25 = 158
2 Click competitor name to see calculations.
The operating cycle exhibits a period of fluctuation characterized by an initial increase in duration, followed by a significant contraction in mid-2025, and a subsequent return to baseline levels by late 2026.
- Average Inventory Processing Period
- Inventory turnover efficiency showed moderate volatility, starting at 123 days and peaking at 136 days in April 2023. A period of improvement followed, culminating in a low of 111 days in June 2025. However, this efficiency gain was not sustained, as the period climbed back to 133 days by September 2026, indicating a slower movement of goods through the production and sales pipeline toward the end of the analyzed period.
- Average Receivable Collection Period
- The collection of receivables demonstrated a general trend of improvement for much of the observed timeframe. From an initial 33 days in April 2022, the period trended downward to a minimum of 16 days in June 2025. While the collection period expanded slightly in 2026, ending at 25 days, it remained lower than the initial 2022 levels, suggesting a generally more efficient credit-to-cash conversion process.
- Operating Cycle Integration
- The total operating cycle, driven primarily by inventory processing times, fluctuated between a maximum of 165 days in October 2022 and a minimum of 127 days in June 2025. The synchronized dip in both inventory processing and receivable collection in mid-2025 resulted in the most efficient operating window of the period. The subsequent increase to 158 days by September 2026 is largely attributable to the lengthening of the inventory processing period, which offset the relatively stable improvements in receivable collections.
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Average Payables Payment Period
| Sep 26, 2026 | Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Payables turnover | 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 | ||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||
| Average payables payment period1 | 90 | 91 | 75 | 105 | 109 | 104 | 110 | 128 | 114 | 109 | 97 | 96 | 97 | 96 | 85 | 97 | 70 | 79 | 74 | ||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 135 | 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 | ||||||
| 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 | ||||||
| Texas Instruments Inc. | 37 | 31 | 30 | 36 | 39 | 46 | 47 | 46 | 45 | 48 | 31 | 45 | 40 | 53 | 55 | 50 | 46 | 43 | 39 | ||||||
Based on: 10-Q (reporting date: 2026-09-26), 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 4.08 = 90
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a fluctuating trend in the management of accounts payable from April 2022 through September 2026. A distinct inverse correlation is observed between the payables turnover ratio and the average payables payment period, with a notable expansion of payment timelines occurring between 2023 and late 2024.
- Payables Turnover Trends
- The payables turnover ratio exhibited a general downward trajectory for the first half of the observed period, declining from a high of 4.92 in April 2022 to a minimum of 2.85 by December 2024. This decline indicates a reduction in the frequency with which obligations to suppliers were settled. A recovery phase followed, characterized by a significant increase to 4.85 in March 2026, before the ratio stabilized between 4.00 and 4.08 in the final quarters of 2026.
- Average Payables Payment Period Dynamics
- The average duration for settling payables showed a corresponding increase, rising from 74 days in April 2022 to a peak of 128 days in December 2024. This extension suggests a period of increased reliance on supplier credit or a strategic effort to preserve cash flow. Subsequently, the payment period contracted sharply, reaching a low of 75 days in March 2026, which aligns with the peak in turnover ratios. The period concluded with a moderate increase, settling at 90 days by September 2026.
- Working Capital Management Insights
- The data indicates a cyclical shift in liquidity management. The expansion of the payment period toward the end of 2024 suggests a tightening of short-term liquidity or a shift in supplier terms. The rapid contraction observed in early 2026 suggests a correction or a deliberate acceleration of payments to vendors. The eventual stabilization around the 90-day mark reflects a return to a more consistent operating cycle compared to the volatility seen in 2024 and 2025.
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Cash Conversion Cycle
| Sep 26, 2026 | Jun 27, 2026 | Mar 28, 2026 | Dec 27, 2025 | Sep 27, 2025 | Jun 28, 2025 | Mar 29, 2025 | Dec 28, 2024 | Sep 28, 2024 | Jun 29, 2024 | Mar 30, 2024 | Dec 30, 2023 | Sep 30, 2023 | Jul 1, 2023 | Apr 1, 2023 | Dec 31, 2022 | Oct 1, 2022 | Jul 2, 2022 | Apr 2, 2022 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||
| Average inventory processing period | 133 | 130 | 131 | 123 | 122 | 111 | 124 | 125 | 124 | 127 | 130 | 125 | 128 | 131 | 136 | 133 | 126 | 121 | 123 | ||||||
| Average receivable collection period | 25 | 26 | 28 | 27 | 22 | 16 | 21 | 24 | 21 | 21 | 22 | 23 | 20 | 20 | 25 | 24 | 39 | 30 | 33 | ||||||
| Average payables payment period | 90 | 91 | 75 | 105 | 109 | 104 | 110 | 128 | 114 | 109 | 97 | 96 | 97 | 96 | 85 | 97 | 70 | 79 | 74 | ||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||
| Cash conversion cycle1 | 68 | 65 | 84 | 45 | 35 | 23 | 35 | 21 | 31 | 39 | 55 | 52 | 51 | 55 | 76 | 60 | 95 | 72 | 82 | ||||||
| Benchmarks | |||||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | |||||||||||||||||||||||||
| Advanced Micro Devices Inc. | 138 | 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 | ||||||
| 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 | ||||||
| Texas Instruments Inc. | 216 | 223 | 232 | 236 | 245 | 247 | 249 | 246 | 239 | 220 | 233 | 217 | 222 | 200 | 170 | 146 | 134 | 131 | 123 | ||||||
Based on: 10-Q (reporting date: 2026-09-26), 10-Q (reporting date: 2026-06-27), 10-Q (reporting date: 2026-03-28), 10-K (reporting date: 2025-12-27), 10-Q (reporting date: 2025-09-27), 10-Q (reporting date: 2025-06-28), 10-Q (reporting date: 2025-03-29), 10-K (reporting date: 2024-12-28), 10-Q (reporting date: 2024-09-28), 10-Q (reporting date: 2024-06-29), 10-Q (reporting date: 2024-03-30), 10-K (reporting date: 2023-12-30), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-07-01), 10-Q (reporting date: 2023-04-01), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-10-01), 10-Q (reporting date: 2022-07-02), 10-Q (reporting date: 2022-04-02).
1 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 133 + 25 – 90 = 68
2 Click competitor name to see calculations.
The cash conversion cycle exhibits a period of significant optimization between early 2022 and late 2024, characterized by a substantial reduction in the time required to convert working capital into cash. This efficiency gain was followed by a period of volatility starting in early 2026, where the cycle experienced a sharp spike before partially stabilizing.
- Inventory Processing Trends
- The average inventory processing period remained relatively stable throughout the analyzed timeframe, typically fluctuating between 121 and 136 days. A notable brief improvement occurred in June 2025, where the period dropped to 111 days, though it subsequently reverted to a range of 130 to 133 days by late 2026.
- Receivables Collection Performance
- A general trend of improvement is observed in the receivable collection period. Starting at 33 days in April 2022, the period trended downward to reach a minimum of 16 days by June 2025. While a slight increase to 25 days was noted by September 2026, the overall collection efficiency remains significantly higher than the initial baseline.
- Payables Payment Dynamics
- The average payables payment period acted as the primary lever for managing the cash conversion cycle. There was a consistent extension of payment terms from 74 days in early 2022 to a peak of 128 days in December 2024. However, a sharp contraction occurred in March 2026, where the period fell to 75 days, indicating a sudden shift in supplier credit terms or a strategic acceleration of payments.
- Cash Conversion Cycle Synthesis
- The cash conversion cycle reached its most efficient point in December 2024 at 21 days, driven largely by the maximization of the payables payment period. The cycle then experienced a dramatic reversal in March 2026, spiking to 84 days. This volatility is directly attributable to the aforementioned collapse in the payables payment period, which offset the efficiencies gained in receivable collections and inventory management.
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