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)
Based on: 10-Q (reporting date: 2026-04-26), 10-K (reporting date: 2026-01-25), 10-Q (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-K (reporting date: 2025-01-26), 10-Q (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-K (reporting date: 2024-01-28), 10-Q (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-29), 10-Q (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-K (reporting date: 2022-01-30), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02).
The operational activity ratios exhibit a period of significant volatility in efficiency, characterized by fluctuating inventory management and a general improvement in working capital utilization over the analyzed timeframe.
- Inventory Management
- Inventory turnover demonstrated a cyclical pattern, declining from 3.63 in May 2021 to a low of 2.25 in January 2023. This decline corresponded with a peak in the average inventory processing period, which reached 162 days. While efficiency recovered mid-period, reaching a turnover of 3.57 in October 2024, a subsequent downward trend is observed, ending at 2.54 in April 2026, with the processing period extending back to 144 days.
- Receivables and Payables Dynamics
- Receivables turnover remained relatively stable, generally oscillating between 4.63 and 7.05, with the average collection period typically fluctuating between 52 and 79 days. In contrast, payables management showed more abrupt shifts; the average payables payment period dropped sharply from 75 days in July 2022 to 37 days by April 2023, indicating a temporary acceleration in supplier payments before returning to a range of 50 to 73 days.
- Working Capital Efficiency
- A consistent upward trend is observed in working capital turnover, which rose from 1.36 in May 2021 to 2.37 by April 2026. This indicates an increasing capacity to generate revenue from the company's net short-term assets over the long term.
- Operational and Cash Cycles
- The operating cycle experienced an expansion, peaking at 215 days in July 2023, driven largely by the aforementioned delays in inventory processing. The cash conversion cycle mirrored this volatility, rising from 96 days in May 2021 to a peak of 177 days in January 2023. Although the cycle contracted to 88 days by October 2024, it expanded again to 130 days by April 2026, reflecting periodic challenges in synchronizing inventory liquidation and receivable collections with payable obligations.
AI Ask an analyst for more
Turnover Ratios
Average No. Days
Inventory Turnover
| Apr 26, 2026 | Jan 25, 2026 | Oct 26, 2025 | Jul 27, 2025 | Apr 27, 2025 | Jan 26, 2025 | Oct 27, 2024 | Jul 28, 2024 | Apr 28, 2024 | Jan 28, 2024 | Oct 29, 2023 | Jul 30, 2023 | Apr 30, 2023 | Jan 29, 2023 | Oct 30, 2022 | Jul 31, 2022 | May 1, 2022 | Jan 30, 2022 | Oct 31, 2021 | Aug 1, 2021 | May 2, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||
| Cost of revenue | 20,458) | 17,034) | 15,157) | 12,890) | 17,394) | 10,609) | 8,926) | 7,466) | 5,638) | 5,312) | 4,720) | 4,045) | 2,544) | 2,218) | 2,754) | 3,789) | 2,857) | 2,643) | 2,472) | 2,292) | 2,032) | |||||||
| Inventories | 25,797) | 21,403) | 19,784) | 14,962) | 11,333) | 10,080) | 7,654) | 6,675) | 5,864) | 5,282) | 4,779) | 4,319) | 4,611) | 5,159) | 4,454) | 3,889) | 3,163) | 2,605) | 2,233) | 2,114) | 1,992) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Inventory turnover1 | 2.54 | 2.92 | 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 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | — | — | 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. | — | — | — | 2.45 | 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. | — | — | — | 2.34 | 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. | — | — | — | — | 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. | — | — | — | — | 2.79 | 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 | |||||||
| Micron Technology Inc. | — | — | — | 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 | |||||||
| Qualcomm Inc. | — | — | — | 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. | — | — | — | — | 1.68 | 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: 2026-04-26), 10-K (reporting date: 2026-01-25), 10-Q (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-K (reporting date: 2025-01-26), 10-Q (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-K (reporting date: 2024-01-28), 10-Q (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-29), 10-Q (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-K (reporting date: 2022-01-30), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02).
1 Q1 2027 Calculation
Inventory turnover
= (Cost of revenueQ1 2027
+ Cost of revenueQ4 2026
+ Cost of revenueQ3 2026
+ Cost of revenueQ2 2026)
÷ Inventories
= (20,458 + 17,034 + 15,157 + 12,890)
÷ 25,797 = 2.54
2 Click competitor name to see calculations.
The analysis of operating activity reveals a volatile relationship between cost of revenue and inventory levels over the observed period, characterized by distinct phases of inventory accumulation and efficiency recovery.
- Initial Decline and Trough
- A sustained downward trend in the inventory turnover ratio is observed from May 2021 to January 2023, where the ratio fell from 3.63 to a minimum of 2.25. During this interval, inventories increased from US$ 1,992 million to US$ 5,159 million, while the cost of revenue experienced fluctuating growth, indicating that stock accumulation outpaced the rate of sales.
- Recovery and Efficiency Peak
- A period of recovery occurred between April 2023 and October 2024, during which the turnover ratio climbed from 2.45 to a peak of 3.57. This improvement was driven by a sharp acceleration in the cost of revenue, which rose from US$ 2,544 million to US$ 8,926 million, reflecting a higher velocity of product movement and improved inventory management.
- Recent Inventory Expansion
- From January 2025 to April 2026, the turnover ratio entered a secondary decline, falling from 3.24 to 2.54. This trend is linked to a massive expansion in inventory levels, which grew from US$ 10,080 million to US$ 25,797 million. Although the cost of revenue reached its highest point of US$ 20,458 million in April 2026, the growth in inventory was disproportionately larger, leading to reduced operational efficiency in terms of stock turnover.
- Correlation Between Revenue Costs and Stock Levels
- The overall trajectory shows that while the cost of revenue has scaled exponentially, inventory levels have followed a similar but more aggressive growth pattern in the latter stages of the period. The divergence between these two metrics in the final year suggests a strategic buildup of inventory that has not yet been offset by a corresponding increase in the cost of goods sold.
AI Ask an analyst for more
Receivables Turnover
| Apr 26, 2026 | Jan 25, 2026 | Oct 26, 2025 | Jul 27, 2025 | Apr 27, 2025 | Jan 26, 2025 | Oct 27, 2024 | Jul 28, 2024 | Apr 28, 2024 | Jan 28, 2024 | Oct 29, 2023 | Jul 30, 2023 | Apr 30, 2023 | Jan 29, 2023 | Oct 30, 2022 | Jul 31, 2022 | May 1, 2022 | Jan 30, 2022 | Oct 31, 2021 | Aug 1, 2021 | May 2, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||
| Revenue | 81,615) | 68,127) | 57,006) | 46,743) | 44,062) | 39,331) | 35,082) | 30,040) | 26,044) | 22,103) | 18,120) | 13,507) | 7,192) | 6,051) | 5,931) | 6,704) | 8,288) | 7,643) | 7,103) | 6,507) | 5,661) | |||||||
| Accounts receivable, net | 40,710) | 38,466) | 33,391) | 27,808) | 22,132) | 23,065) | 17,693) | 14,132) | 12,365) | 9,999) | 8,309) | 7,066) | 4,080) | 3,827) | 4,908) | 5,317) | 5,438) | 4,650) | 3,954) | 3,586) | 3,024) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Receivables turnover1 | 6.23 | 5.61 | 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 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | — | — | 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. | — | — | — | 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. | — | — | — | 4.55 | 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. | — | — | — | — | 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. | — | — | — | — | 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 | |||||||
| Micron Technology Inc. | — | — | — | 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 | |||||||
| Texas Instruments Inc. | — | — | — | — | 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: 2026-04-26), 10-K (reporting date: 2026-01-25), 10-Q (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-K (reporting date: 2025-01-26), 10-Q (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-K (reporting date: 2024-01-28), 10-Q (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-29), 10-Q (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-K (reporting date: 2022-01-30), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02).
1 Q1 2027 Calculation
Receivables turnover
= (RevenueQ1 2027
+ RevenueQ4 2026
+ RevenueQ3 2026
+ RevenueQ2 2026)
÷ Accounts receivable, net
= (81,615 + 68,127 + 57,006 + 46,743)
÷ 40,710 = 6.23
2 Click competitor name to see calculations.
The financial trajectory from May 2021 through April 2026 is characterized by exponential revenue growth and a corresponding increase in net accounts receivable. Revenue rose from $5.66 billion to $81.62 billion, while net accounts receivable increased from $3.02 billion to $40.71 billion. Despite the massive scale of this expansion, the efficiency of credit collection has remained remarkably stable, with the receivables turnover ratio consistently operating within a specific range.
- Turnover Ratio Stability and Scaling
- The receivables turnover ratio has fluctuated between a minimum of 4.63 and a maximum of 7.05. This suggests that the company's collection processes have scaled effectively alongside its revenue growth. The ability to maintain a ratio generally between 5.4 and 6.8 during a period of hyper-growth indicates that the increase in outstanding receivables is a direct function of increased sales volume rather than a decline in collection efficiency.
- Analysis of Volatility Peaks and Troughs
- A significant dip in turnover efficiency was observed on July 30, 2023, where the ratio dropped to 4.63. This occurred during a period of rapid revenue acceleration, suggesting a temporary lag in the conversion of receivables to cash as the company adjusted to higher transaction volumes. Subsequently, the ratio recovered, peaking again at 6.81 by April 2024, indicating a successful optimization of the credit cycle.
- Recent Operational Trends
- In the final quarters of the analyzed period, the turnover ratio remained steady, moving from 5.60 in October 2025 to 6.23 by April 2026. This stabilization, occurring while quarterly revenues exceeded $60 billion, demonstrates a matured operational capacity to manage high-volume credit sales without extending the average collection period significantly.
AI Ask an analyst for more
Payables Turnover
| Apr 26, 2026 | Jan 25, 2026 | Oct 26, 2025 | Jul 27, 2025 | Apr 27, 2025 | Jan 26, 2025 | Oct 27, 2024 | Jul 28, 2024 | Apr 28, 2024 | Jan 28, 2024 | Oct 29, 2023 | Jul 30, 2023 | Apr 30, 2023 | Jan 29, 2023 | Oct 30, 2022 | Jul 31, 2022 | May 1, 2022 | Jan 30, 2022 | Oct 31, 2021 | Aug 1, 2021 | May 2, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||
| Cost of revenue | 20,458) | 17,034) | 15,157) | 12,890) | 17,394) | 10,609) | 8,926) | 7,466) | 5,638) | 5,312) | 4,720) | 4,045) | 2,544) | 2,218) | 2,754) | 3,789) | 2,857) | 2,643) | 2,472) | 2,292) | 2,032) | |||||||
| Accounts payable | 13,097) | 9,812) | 8,624) | 9,064) | 7,331) | 6,310) | 5,353) | 3,680) | 2,715) | 2,699) | 2,380) | 1,929) | 1,141) | 1,193) | 1,491) | 2,421) | 1,999) | 1,783) | 1,664) | 1,474) | 1,218) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Payables turnover1 | 5.00 | 6.37 | 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 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | — | — | 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. | — | — | — | 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. | — | — | — | — | 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. | — | — | — | — | 4.85 | 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 | |||||||
| Qualcomm Inc. | — | — | — | 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. | — | — | — | — | 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: 2026-04-26), 10-K (reporting date: 2026-01-25), 10-Q (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-K (reporting date: 2025-01-26), 10-Q (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-K (reporting date: 2024-01-28), 10-Q (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-29), 10-Q (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-K (reporting date: 2022-01-30), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02).
1 Q1 2027 Calculation
Payables turnover
= (Cost of revenueQ1 2027
+ Cost of revenueQ4 2026
+ Cost of revenueQ3 2026
+ Cost of revenueQ2 2026)
÷ Accounts payable
= (20,458 + 17,034 + 15,157 + 12,890)
÷ 13,097 = 5.00
2 Click competitor name to see calculations.
An analysis of the operating activity reveals a significant scaling of procurement and production costs, accompanied by a corresponding increase in obligations to suppliers. The cost of revenue grew from 2,032 million USD in May 2021 to 20,458 million USD by April 2026, representing a substantial expansion in operational scale. Accounts payable followed a similar upward trajectory, increasing from 1,218 million USD to 13,097 million USD over the same period, indicating that the company maintains its supplier financing levels in proportion to its growth.
- Payables Turnover Volatility
- The payables turnover ratio exhibited a period of notable instability between October 2022 and April 2023. During this window, the ratio spiked from 4.86 to a peak of 9.91. This sharp increase indicates a period where the company settled its obligations significantly faster or experienced a temporary contraction in the balance of accounts payable relative to the cost of revenue. Following this peak, the ratio reverted to a lower range, suggesting a strategic shift back to extended payment terms or a normalization of supply chain financing.
- Stabilization of Payment Cycles
- From July 2023 through April 2026, the payables turnover ratio stabilized, generally fluctuating between 5.00 and 7.26. This stabilization occurs despite the massive absolute increase in both the cost of revenue and accounts payable. The consistency of this ratio suggests that the company has established a sustainable operational cadence for managing supplier payments, ensuring that the growth in procurement does not adversely impact its liquidity position.
- Correlation Between Scale and Liquidity Management
- A strong correlation is observed between the expansion of the cost of revenue and the growth of accounts payable. The fact that the turnover ratio remains relatively consistent in the long term—despite the cost of revenue increasing tenfold—indicates an efficient scaling of the procurement process. The company has successfully leveraged its increased size to maintain a steady payment cycle, effectively utilizing supplier credit to fund a significant portion of its operational growth.
AI Ask an analyst for more
Working Capital Turnover
| Apr 26, 2026 | Jan 25, 2026 | Oct 26, 2025 | Jul 27, 2025 | Apr 27, 2025 | Jan 26, 2025 | Oct 27, 2024 | Jul 28, 2024 | Apr 28, 2024 | Jan 28, 2024 | Oct 29, 2023 | Jul 30, 2023 | Apr 30, 2023 | Jan 29, 2023 | Oct 30, 2022 | Jul 31, 2022 | May 1, 2022 | Jan 30, 2022 | Oct 31, 2021 | Aug 1, 2021 | May 2, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||||||||||||||||||||||||
| Current assets | 150,995) | 125,605) | 116,492) | 102,219) | 89,935) | 80,126) | 67,640) | 59,633) | 53,729) | 44,345) | 32,658) | 28,797) | 24,883) | 23,073) | 23,223) | 27,418) | 29,575) | 28,829) | 25,806) | 25,806) | 18,127) | |||||||
| Less: Current liabilities | 43,884) | 32,163) | 26,075) | 24,257) | 26,542) | 18,047) | 16,479) | 13,969) | 15,223) | 10,631) | 9,101) | 10,334) | 7,260) | 6,563) | 6,855) | 7,573) | 5,562) | 4,335) | 3,612) | 4,448) | 4,004) | |||||||
| Working capital | 107,111) | 93,442) | 90,417) | 77,962) | 63,393) | 62,079) | 51,161) | 45,664) | 38,506) | 33,714) | 23,557) | 18,463) | 17,623) | 16,510) | 16,368) | 19,845) | 24,013) | 24,494) | 22,194) | 21,358) | 14,123) | |||||||
| Revenue | 81,615) | 68,127) | 57,006) | 46,743) | 44,062) | 39,331) | 35,082) | 30,040) | 26,044) | 22,103) | 18,120) | 13,507) | 7,192) | 6,051) | 5,931) | 6,704) | 8,288) | 7,643) | 7,103) | 6,507) | 5,661) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Working capital turnover1 | 2.37 | 2.31 | 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 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | — | — | 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. | — | — | — | 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. | — | — | — | 2.14 | 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. | — | — | — | — | 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. | — | — | — | — | 1.52 | 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 | |||||||
| Micron Technology Inc. | — | — | — | 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 | |||||||
| Qualcomm Inc. | — | — | — | 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. | — | — | — | — | 1.72 | 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: 2026-04-26), 10-K (reporting date: 2026-01-25), 10-Q (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-K (reporting date: 2025-01-26), 10-Q (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-K (reporting date: 2024-01-28), 10-Q (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-29), 10-Q (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-K (reporting date: 2022-01-30), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02).
1 Q1 2027 Calculation
Working capital turnover
= (RevenueQ1 2027
+ RevenueQ4 2026
+ RevenueQ3 2026
+ RevenueQ2 2026)
÷ Working capital
= (81,615 + 68,127 + 57,006 + 46,743)
÷ 107,111 = 2.37
2 Click competitor name to see calculations.
The analyzed period demonstrates a significant expansion in both operational scale and capital efficiency. While working capital increased substantially over the trajectory, revenue growth outpaced this expansion, resulting in a progressive increase in the working capital turnover ratio. This indicates a heightened ability to utilize short-term assets and liabilities to generate sales.
- Working Capital Trends
- A consistent upward trajectory is observed in working capital, rising from 14,123 million USD in May 2021 to 107,111 million USD by April 2026. A period of relative stability and slight contraction occurred between January 2022 and October 2022, followed by a sharp and sustained increase starting in October 2023, reflecting a massive expansion of the balance sheet to support growing operations.
- Revenue Growth Patterns
- Revenue experienced exponential growth, particularly accelerating after July 2023. From a baseline of 5,661 million USD in May 2021, figures surged to 81,615 million USD by April 2026. The most aggressive growth phase began in the third quarter of 2023, characterized by rapid sequential increases that fundamentally shifted the scale of the business.
- Working Capital Turnover Efficiency
- The turnover ratio exhibits a positive long-term trend, increasing from a low of 1.03 in August 2021 to a peak of 2.37 in April 2026. This improvement suggests that for every dollar of working capital employed, the organization is generating progressively more revenue. The ratio remained relatively low, between 1.0 and 1.3, during the initial year but transitioned into a higher efficiency bracket—consistently exceeding 2.0—starting in January 2024.
- Correlation between Scale and Efficiency
- A strong correlation is evident between the acceleration of revenue and an increase in operational efficiency. Despite the massive absolute increase in working capital required to sustain operations, the ascent of the turnover ratio confirms the achievement of economies of scale. The data indicates that the organization is optimizing its short-term resource deployment to drive top-line growth more effectively as the volume of business increases.
AI Ask an analyst for more
Average Inventory Processing Period
| Apr 26, 2026 | Jan 25, 2026 | Oct 26, 2025 | Jul 27, 2025 | Apr 27, 2025 | Jan 26, 2025 | Oct 27, 2024 | Jul 28, 2024 | Apr 28, 2024 | Jan 28, 2024 | Oct 29, 2023 | Jul 30, 2023 | Apr 30, 2023 | Jan 29, 2023 | Oct 30, 2022 | Jul 31, 2022 | May 1, 2022 | Jan 30, 2022 | Oct 31, 2021 | Aug 1, 2021 | May 2, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||
| Inventory turnover | 2.54 | 2.92 | 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 | |||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||
| Average inventory processing period1 | 144 | 125 | 129 | 110 | 93 | 113 | 102 | 105 | 109 | 116 | 129 | 136 | 149 | 162 | 135 | 121 | 112 | 101 | 94 | 97 | 100 | |||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | — | — | 158 | 165 | 161 | 157 | 169 | 160 | 156 | 149 | 140 | 130 | 133 | 135 | 120 | 106 | 101 | 86 | 91 | |||||||
| Analog Devices Inc. | — | — | — | 149 | 148 | 142 | 141 | 137 | 135 | 131 | 127 | 128 | 131 | 135 | 140 | 136 | 129 | 114 | 96 | 97 | 100 | |||||||
| Applied Materials Inc. | — | — | — | 156 | 151 | 148 | 144 | 142 | 139 | 139 | 144 | 148 | 147 | 148 | 149 | 152 | 157 | 157 | 151 | 140 | 131 | |||||||
| Broadcom Inc. | — | — | — | — | 49 | 40 | 40 | 38 | 36 | 34 | 41 | 45 | 55 | 62 | 60 | 61 | 61 | 63 | 62 | 57 | 53 | |||||||
| Intel Corp. | — | — | — | — | 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 | |||||||
| Micron Technology Inc. | — | — | — | 125 | 129 | 136 | 150 | 161 | 158 | 166 | 164 | 168 | 163 | 181 | 182 | 177 | 192 | 144 | 119 | 116 | 101 | |||||||
| Qualcomm Inc. | — | — | — | 134 | 121 | 121 | 121 | 121 | 128 | 137 | 133 | 138 | 141 | 148 | 144 | 140 | 138 | 124 | 112 | 102 | 93 | |||||||
| Texas Instruments Inc. | — | — | — | — | 218 | 231 | 240 | 251 | 254 | 252 | 241 | 229 | 228 | 225 | 222 | 215 | 190 | 161 | 143 | 133 | 127 | |||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-K (reporting date: 2026-01-25), 10-Q (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-K (reporting date: 2025-01-26), 10-Q (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-K (reporting date: 2024-01-28), 10-Q (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-29), 10-Q (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-K (reporting date: 2022-01-30), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02).
1 Q1 2027 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.54 = 144
2 Click competitor name to see calculations.
The analysis of operating activity ratios indicates a cyclical trend in inventory management efficiency, characterized by a period of significant slowing followed by a recovery phase and a subsequent return to extended processing times.
- Inventory Turnover
- A downward trend is observed from May 2021, where the ratio stood at 3.63, reaching a trough of 2.25 in January 2023. This contraction suggests a period of decreased inventory velocity. A recovery phase followed, with the ratio climbing to a peak of 3.92 in April 2025. However, the final quarters show a decline, ending at 2.54 in April 2026.
- Average Inventory Processing Period
- The processing period exhibits an inverse correlation with turnover. The duration increased from 100 days in May 2021 to a maximum of 162 days in January 2023, representing the point of lowest operational efficiency. A subsequent improvement in inventory movement reduced the processing period to a minimum of 93 days by April 2025. In the final observed periods, a trend of increasing processing time is noted, with the duration extending to 144 days by April 2026.
AI Ask an analyst for more
Average Receivable Collection Period
| Apr 26, 2026 | Jan 25, 2026 | Oct 26, 2025 | Jul 27, 2025 | Apr 27, 2025 | Jan 26, 2025 | Oct 27, 2024 | Jul 28, 2024 | Apr 28, 2024 | Jan 28, 2024 | Oct 29, 2023 | Jul 30, 2023 | Apr 30, 2023 | Jan 29, 2023 | Oct 30, 2022 | Jul 31, 2022 | May 1, 2022 | Jan 30, 2022 | Oct 31, 2021 | Aug 1, 2021 | May 2, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||
| Receivables turnover | 6.23 | 5.61 | 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 | |||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||
| Average receivable collection period1 | 59 | 65 | 65 | 61 | 54 | 65 | 57 | 54 | 57 | 60 | 68 | 79 | 58 | 52 | 63 | 65 | 67 | 63 | 59 | 60 | 57 | |||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | — | — | 59 | 67 | 71 | 63 | 72 | 88 | 109 | 90 | 81 | 87 | 83 | 72 | 64 | 64 | 69 | 69 | 71 | |||||||
| Analog Devices Inc. | — | — | — | 59 | 42 | 48 | 55 | 51 | 47 | 52 | 42 | 35 | 38 | 44 | 46 | 46 | 47 | 55 | 57 | 60 | 71 | |||||||
| Applied Materials Inc. | — | — | — | 80 | 64 | 67 | 74 | 80 | 79 | 70 | 68 | 66 | 65 | 71 | 72 | 76 | 75 | 86 | 72 | 72 | 67 | |||||||
| Broadcom Inc. | — | — | — | — | 45 | 41 | 40 | 36 | 33 | 31 | 36 | 47 | 47 | 32 | 30 | 32 | 34 | 33 | 31 | 38 | 33 | |||||||
| Intel Corp. | — | — | — | — | 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 | |||||||
| Micron Technology Inc. | — | — | — | 109 | 88 | 90 | 80 | 76 | 93 | 96 | 88 | 86 | 66 | 57 | 49 | 36 | 45 | 61 | 70 | 63 | 65 | |||||||
| Texas Instruments Inc. | — | — | — | — | 44 | 41 | 44 | 42 | 42 | 40 | 43 | 39 | 36 | 37 | 40 | 38 | 35 | 35 | 37 | 41 | 35 | |||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-K (reporting date: 2026-01-25), 10-Q (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-K (reporting date: 2025-01-26), 10-Q (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-K (reporting date: 2024-01-28), 10-Q (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-29), 10-Q (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-K (reporting date: 2022-01-30), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02).
1 Q1 2027 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 6.23 = 59
2 Click competitor name to see calculations.
The analysis of the average receivable collection period and receivables turnover reveals a period of moderate volatility followed by relative stabilization in credit collection efficiency over the analyzed timeframe.
- Collection Period Fluctuations
- The average receivable collection period experienced significant variance, reaching a minimum of 52 days in January 2023 and a maximum of 79 days in July 2023. The spike in July 2023 represents the most notable deviation in the company's ability to convert receivables into cash, indicating a temporary slowdown in collection velocity.
- Inverse Correlation with Turnover Ratio
- A consistent inverse relationship is observed between the receivables turnover ratio and the collection period. The highest efficiency was recorded in January 2023, where a turnover ratio of 7.05 coincided with the shortest collection period of 52 days. Conversely, the lowest turnover ratio of 4.63 in July 2023 directly aligns with the peak collection period of 79 days.
- Recent Stability and Normalization
- From 2024 through April 2026, the collection period stabilized, fluctuating within a narrower band between 54 and 65 days. This suggests a return to a predictable credit management cycle, mirroring the performance levels observed between May 2021 and October 2021, where the collection period ranged from 57 to 60 days.
The overall trend indicates that while there were acute operational disruptions in the receivables cycle during 2023, the company has since maintained a consistent recovery and collection cadence, ending the period with a collection timeframe of 59 days.
AI Ask an analyst for more
Operating Cycle
| Apr 26, 2026 | Jan 25, 2026 | Oct 26, 2025 | Jul 27, 2025 | Apr 27, 2025 | Jan 26, 2025 | Oct 27, 2024 | Jul 28, 2024 | Apr 28, 2024 | Jan 28, 2024 | Oct 29, 2023 | Jul 30, 2023 | Apr 30, 2023 | Jan 29, 2023 | Oct 30, 2022 | Jul 31, 2022 | May 1, 2022 | Jan 30, 2022 | Oct 31, 2021 | Aug 1, 2021 | May 2, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||
| Average inventory processing period | 144 | 125 | 129 | 110 | 93 | 113 | 102 | 105 | 109 | 116 | 129 | 136 | 149 | 162 | 135 | 121 | 112 | 101 | 94 | 97 | 100 | |||||||
| Average receivable collection period | 59 | 65 | 65 | 61 | 54 | 65 | 57 | 54 | 57 | 60 | 68 | 79 | 58 | 52 | 63 | 65 | 67 | 63 | 59 | 60 | 57 | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Operating cycle1 | 203 | 190 | 194 | 171 | 147 | 178 | 159 | 159 | 166 | 176 | 197 | 215 | 207 | 214 | 198 | 186 | 179 | 164 | 153 | 157 | 157 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Operating Cycle, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | — | — | 217 | 232 | 232 | 220 | 241 | 248 | 265 | 239 | 221 | 217 | 216 | 207 | 184 | 170 | 170 | 155 | 162 | |||||||
| Analog Devices Inc. | — | — | — | 208 | 190 | 190 | 196 | 188 | 182 | 183 | 169 | 163 | 169 | 179 | 186 | 182 | 176 | 169 | 153 | 157 | 171 | |||||||
| Applied Materials Inc. | — | — | — | 236 | 215 | 215 | 218 | 222 | 218 | 209 | 212 | 214 | 212 | 219 | 221 | 228 | 232 | 243 | 223 | 212 | 198 | |||||||
| Broadcom Inc. | — | — | — | — | 94 | 81 | 80 | 74 | 69 | 65 | 77 | 92 | 102 | 94 | 90 | 93 | 95 | 96 | 93 | 95 | 86 | |||||||
| Intel Corp. | — | — | — | — | 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 | |||||||
| Micron Technology Inc. | — | — | — | 234 | 217 | 226 | 230 | 237 | 251 | 262 | 252 | 254 | 229 | 238 | 231 | 213 | 237 | 205 | 189 | 179 | 166 | |||||||
| Texas Instruments Inc. | — | — | — | — | 262 | 272 | 284 | 293 | 296 | 292 | 284 | 268 | 264 | 262 | 262 | 253 | 225 | 196 | 180 | 174 | 162 | |||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-K (reporting date: 2026-01-25), 10-Q (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-K (reporting date: 2025-01-26), 10-Q (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-K (reporting date: 2024-01-28), 10-Q (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-29), 10-Q (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-K (reporting date: 2022-01-30), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02).
1 Q1 2027 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 144 + 59 = 203
2 Click competitor name to see calculations.
The operating cycle exhibits significant volatility over the analyzed period, characterized by a general expansion between 2021 and 2023, a subsequent contraction through early 2025, and a renewed upward trend toward April 2026. The fluctuations in the total operating cycle are primarily driven by changes in inventory processing efficiency rather than receivable collection timing.
- Average Inventory Processing Period
- A period of marked expansion is observed from May 2021 (100 days) peaking at 162 days in January 2023. This represents a substantial increase in the time required to convert inventory into sales. Following this peak, a period of improvement occurs, with the processing period reaching a low of 93 days by January 2025. However, a subsequent increase is noted, ending at 144 days in April 2026, indicating a cyclical pattern in inventory management or supply chain dynamics.
- Average Receivable Collection Period
- The collection period remains relatively stable compared to inventory metrics, generally oscillating between 52 and 68 days. A notable outlier occurred in July 2023, where the period spiked to 79 days, indicating a temporary slowdown in cash inflows from customers. Aside from this peak, the collection period shows a tendency to return to a baseline range of 54 to 65 days, suggesting consistent credit management policies.
- Operating Cycle
- The total operating cycle reflects the combined impact of inventory and receivable durations, ranging from a minimum of 147 days in January 2025 to a maximum of 215 days in July 2023. The correlation between the operating cycle and the inventory processing period is strong, as inventory fluctuations contribute more significantly to the overall cycle length than receivable collections. The cycle concludes at 203 days in April 2026, signaling a lengthening of the cash-to-cash conversion window toward the end of the observed period.
AI Ask an analyst for more
Average Payables Payment Period
| Apr 26, 2026 | Jan 25, 2026 | Oct 26, 2025 | Jul 27, 2025 | Apr 27, 2025 | Jan 26, 2025 | Oct 27, 2024 | Jul 28, 2024 | Apr 28, 2024 | Jan 28, 2024 | Oct 29, 2023 | Jul 30, 2023 | Apr 30, 2023 | Jan 29, 2023 | Oct 30, 2022 | Jul 31, 2022 | May 1, 2022 | Jan 30, 2022 | Oct 31, 2021 | Aug 1, 2021 | May 2, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||
| Payables turnover | 5.00 | 6.37 | 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 | |||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||
| Average payables payment period1 | 73 | 57 | 56 | 66 | 60 | 71 | 71 | 58 | 50 | 59 | 64 | 61 | 37 | 37 | 45 | 75 | 71 | 69 | 70 | 68 | 61 | |||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | — | — | 59 | 61 | 77 | 73 | 58 | 69 | 87 | 63 | 56 | 72 | 77 | 92 | 81 | 83 | 82 | 61 | 63 | |||||||
| Analog Devices Inc. | — | — | — | 48 | 46 | 47 | 43 | 39 | 34 | 44 | 38 | 37 | 33 | 41 | 48 | 47 | 45 | 47 | 43 | 41 | 45 | |||||||
| Broadcom Inc. | — | — | — | — | 35 | 28 | 26 | 24 | 36 | 32 | 38 | 35 | 43 | 40 | 32 | 27 | 30 | 33 | 24 | 37 | 37 | |||||||
| Intel Corp. | — | — | — | — | 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 | |||||||
| Qualcomm Inc. | — | — | — | 54 | 49 | 52 | 44 | 48 | 53 | 55 | 57 | 52 | 49 | 44 | 38 | 29 | 51 | 74 | 77 | 83 | 85 | |||||||
| Texas Instruments Inc. | — | — | — | — | 30 | 36 | 39 | 46 | 47 | 46 | 45 | 48 | 31 | 45 | 40 | 53 | 55 | 50 | 46 | 43 | 39 | |||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-K (reporting date: 2026-01-25), 10-Q (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-K (reporting date: 2025-01-26), 10-Q (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-K (reporting date: 2024-01-28), 10-Q (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-29), 10-Q (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-K (reporting date: 2022-01-30), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02).
1 Q1 2027 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 5.00 = 73
2 Click competitor name to see calculations.
An analysis of short-term operating activity reveals significant fluctuations in the management of accounts payable over the observed period. The average payables payment period demonstrates a cyclical pattern, characterized by an initial steady increase, a sharp contraction, and a subsequent return to longer payment cycles.
- Payables Turnover Trends
- The turnover ratio remained relatively stable, fluctuating between 4.86 and 5.94 from May 2021 through July 2022. A marked acceleration is observed beginning in October 2022, with the ratio peaking at 9.91 in April 2023. Following this peak, the ratio moderated and stabilized, generally oscillating between 5.00 and 7.26 through April 2026.
- Average Payables Payment Period Analysis
- The payment period exhibited a gradual upward trend in the first year, rising from 61 days in May 2021 to a peak of 75 days by July 2022. This was followed by a rapid decline between October 2022 and April 2023, where the period reached its minimum of 37 days. This sudden contraction suggests a period of aggressive settlement of supplier obligations or a temporary shift in credit terms.
- Normalization and Recent Volatility
- Following the low point in April 2023, the payment period returned to higher levels, jumping to 61 days by July 2023. For the remainder of the period, the duration remained volatile, ranging from a low of 50 days in April 2024 to a high of 73 days in April 2026. This indicates a flexible approach to working capital management, where the timing of payments is adjusted periodically.
AI Ask an analyst for more
Cash Conversion Cycle
| Apr 26, 2026 | Jan 25, 2026 | Oct 26, 2025 | Jul 27, 2025 | Apr 27, 2025 | Jan 26, 2025 | Oct 27, 2024 | Jul 28, 2024 | Apr 28, 2024 | Jan 28, 2024 | Oct 29, 2023 | Jul 30, 2023 | Apr 30, 2023 | Jan 29, 2023 | Oct 30, 2022 | Jul 31, 2022 | May 1, 2022 | Jan 30, 2022 | Oct 31, 2021 | Aug 1, 2021 | May 2, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||
| Average inventory processing period | 144 | 125 | 129 | 110 | 93 | 113 | 102 | 105 | 109 | 116 | 129 | 136 | 149 | 162 | 135 | 121 | 112 | 101 | 94 | 97 | 100 | |||||||
| Average receivable collection period | 59 | 65 | 65 | 61 | 54 | 65 | 57 | 54 | 57 | 60 | 68 | 79 | 58 | 52 | 63 | 65 | 67 | 63 | 59 | 60 | 57 | |||||||
| Average payables payment period | 73 | 57 | 56 | 66 | 60 | 71 | 71 | 58 | 50 | 59 | 64 | 61 | 37 | 37 | 45 | 75 | 71 | 69 | 70 | 68 | 61 | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Cash conversion cycle1 | 130 | 133 | 138 | 105 | 87 | 107 | 88 | 101 | 116 | 117 | 133 | 154 | 170 | 177 | 153 | 111 | 108 | 95 | 83 | 89 | 96 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | — | — | 158 | 171 | 155 | 147 | 183 | 179 | 178 | 176 | 165 | 145 | 139 | 115 | 103 | 87 | 88 | 94 | 99 | |||||||
| Analog Devices Inc. | — | — | — | 160 | 144 | 143 | 153 | 149 | 148 | 139 | 131 | 126 | 136 | 138 | 138 | 135 | 131 | 122 | 110 | 116 | 126 | |||||||
| Broadcom Inc. | — | — | — | — | 59 | 53 | 54 | 50 | 33 | 33 | 39 | 57 | 59 | 54 | 58 | 66 | 65 | 63 | 69 | 58 | 49 | |||||||
| Intel Corp. | — | — | — | — | 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 | |||||||
| Texas Instruments Inc. | — | — | — | — | 232 | 236 | 245 | 247 | 249 | 246 | 239 | 220 | 233 | 217 | 222 | 200 | 170 | 146 | 134 | 131 | 123 | |||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-K (reporting date: 2026-01-25), 10-Q (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-K (reporting date: 2025-01-26), 10-Q (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-K (reporting date: 2024-01-28), 10-Q (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-29), 10-Q (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-K (reporting date: 2022-01-30), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02).
1 Q1 2027 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 144 + 59 – 73 = 130
2 Click competitor name to see calculations.
Operational efficiency exhibits significant volatility over the analyzed period, primarily driven by fluctuations in inventory management. The cash conversion cycle demonstrates a cyclical pattern, reaching a peak in early 2023 before undergoing a period of correction and subsequent moderate expansion.
- Average Inventory Processing Period
- A substantial increase was recorded from May 2021 (100 days) to a peak of 162 days in January 2023, suggesting a period of inventory accumulation or reduced turnover. Following this peak, a consistent downward trend occurred, reaching a low of 93 days by January 2025. However, the most recent data indicates a renewed upward trajectory, with the period extending to 144 days by April 2026.
- Average Receivable Collection Period
- The collection of receivables remained relatively stable, generally fluctuating between 52 and 67 days. A notable outlier occurred in July 2023, where the period peaked at 79 days, indicating a temporary decline in collection efficiency. Since then, the period has largely stabilized within the 54 to 65-day range, suggesting consistent credit management.
- Average Payables Payment Period
- Payment cycles to suppliers showed marked inconsistency. After maintaining a range of 61 to 75 days through mid-2022, the period contracted sharply to 37 days between January and April 2023, indicating accelerated cash outflows to vendors. Subsequently, the period recovered and oscillated between 50 and 73 days, concluding at 73 days in April 2026, which improves the company's short-term liquidity by delaying cash outflows.
- Cash Conversion Cycle
- The overall cash conversion cycle reflects the combined impact of inventory, receivables, and payables. The cycle expanded from 96 days in May 2021 to a peak of 177 days in January 2023, a result of maximized inventory processing times and minimized payables periods. A subsequent improvement saw the cycle drop to a low of 88 days by October 2024. The cycle ended the period at 130 days in April 2026, with the increase primarily attributed to the rise in inventory processing duration.
The analysis indicates that the company's short-term liquidity is most sensitive to inventory levels. While receivable collections have remained steady, the volatility in the cash conversion cycle is closely correlated with the average inventory processing period and strategic shifts in payables management.
AI Ask an analyst for more