Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
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Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2026-04-26), 10-Q (reporting date: 2026-01-25), 10-K (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-Q (reporting date: 2025-01-26), 10-K (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-Q (reporting date: 2024-01-28), 10-K (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-29), 10-K (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-Q (reporting date: 2022-01-30), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02), 10-Q (reporting date: 2021-01-31).
The analysis of short-term activity ratios reveals a cyclical pattern in operational efficiency, characterized by a period of optimization in 2021, a decline in efficiency peaking in late 2022, and a subsequent period of volatility leading into 2026.
- Inventory Management
- Inventory turnover exhibited a peak of 2.82 in October 2021 before declining to a low of 2.32 by January 2023. This trend is mirrored in the average inventory processing period, which decreased to 129 days during the peak efficiency phase but extended to 157 days by early 2023. While a moderate recovery was observed through 2024, the processing period has trended upward again, reaching 156 days by April 2026, indicating a slower movement of goods.
- Receivables Management
- Receivables turnover shows significant volatility, starting at 5.98 and reaching a trough of 4.25 in October 2022. The average receivable collection period mirrored this decline, peaking at 86 days in October 2022. Although collection efficiency improved toward the end of 2025, reaching a low of 64 days in January 2026, there was a sharp increase to 80 days by April 2026, suggesting a recent slowdown in the conversion of receivables to cash.
- Working Capital Efficiency
- Working capital turnover experienced a steady increase from 1.86 in January 2021 to a peak of 3.02 in October 2022. Following this peak, the ratio trended downward and stabilized between 2.12 and 2.42 throughout 2023 and 2025, indicating a shift in the utilization of net current assets relative to revenue generation.
- Overall Operating Cycle
- The total operating cycle, representing the time elapsed between the acquisition of inventory and the collection of cash from sales, fluctuated between a minimum of 195 days in August 2021 and a maximum of 243 days in October 2022. After a period of relative stabilization between 209 and 222 days from 2023 through 2025, the cycle extended to 236 days by April 2026, driven by simultaneous increases in both inventory processing and receivable collection durations.
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 | Jan 31, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Cost of products sold | |||||||||||||||||||||||||||||
| Inventories | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Inventory turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||
| Analog Devices Inc. | |||||||||||||||||||||||||||||
| Broadcom Inc. | |||||||||||||||||||||||||||||
| Intel Corp. | |||||||||||||||||||||||||||||
| KLA Corp. | |||||||||||||||||||||||||||||
| Lam Research Corp. | |||||||||||||||||||||||||||||
| Micron Technology Inc. | |||||||||||||||||||||||||||||
| NVIDIA Corp. | |||||||||||||||||||||||||||||
| Qualcomm Inc. | |||||||||||||||||||||||||||||
| Texas Instruments Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-Q (reporting date: 2026-01-25), 10-K (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-Q (reporting date: 2025-01-26), 10-K (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-Q (reporting date: 2024-01-28), 10-K (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-29), 10-K (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-Q (reporting date: 2022-01-30), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02), 10-Q (reporting date: 2021-01-31).
1 Q2 2026 Calculation
Inventory turnover
= (Cost of products soldQ2 2026
+ Cost of products soldQ1 2026
+ Cost of products soldQ4 2025
+ Cost of products soldQ3 2025)
÷ Inventories
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The inventory turnover ratio demonstrates a cyclical trajectory characterized by an initial period of efficiency, followed by a significant decline, a period of recovery, and a subsequent downward trend toward the end of the observed period. This movement reflects a fluctuating relationship between the cost of products sold and the level of inventories maintained.
- Inventory Accumulation and Efficiency Decline (2021–2023)
- Between January 2021 and October 2021, the inventory turnover ratio improved from 2.55 to a peak of 2.82. This coincided with a steady increase in the cost of products sold. However, a subsequent sharp increase in inventory levels—rising from 4,309 million in October 2021 to a peak of 6,054 million in January 2023—outpaced the growth of the cost of products sold. This resulted in a compression of the turnover ratio, which fell to a low of 2.32 by January 2023, suggesting a period of inventory oversupply or slowing movement of goods.
- Operational Optimization and Recovery (2023–2024)
- From January 2023 to October 2024, a trend of inventory optimization is observed. Inventory levels were systematically reduced from 6,054 million to a low of 5,421 million in October 2024. During this period, the cost of products sold remained relatively stable, oscillating between 3,449 million and 3,710 million. Consequently, the inventory turnover ratio recovered, climbing from 2.32 to a secondary peak of 2.63, indicating improved operational efficiency in managing stock levels relative to sales.
- Recent Trends and Increased Inventory Levels (2025–2026)
- In the final phase of the analyzed period, there is a noticeable divergence between inventory growth and turnover efficiency. From October 2024 to April 2026, inventories rose from 5,421 million to 6,343 million. Although the cost of products sold also increased to a period high of 3,963 million by April 2026, the growth in inventory exceeded the growth in sales volume. This imbalance led to a steady decline in the inventory turnover ratio, falling from 2.63 in January 2025 to 2.34 by April 2026.
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 | Jan 31, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Revenue | |||||||||||||||||||||||||||||
| Accounts receivable, net | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Receivables turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||
| Analog Devices Inc. | |||||||||||||||||||||||||||||
| Broadcom Inc. | |||||||||||||||||||||||||||||
| Intel Corp. | |||||||||||||||||||||||||||||
| KLA Corp. | |||||||||||||||||||||||||||||
| Lam Research Corp. | |||||||||||||||||||||||||||||
| Micron Technology Inc. | |||||||||||||||||||||||||||||
| NVIDIA Corp. | |||||||||||||||||||||||||||||
| Texas Instruments Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-Q (reporting date: 2026-01-25), 10-K (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-Q (reporting date: 2025-01-26), 10-K (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-Q (reporting date: 2024-01-28), 10-K (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-29), 10-K (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-Q (reporting date: 2022-01-30), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02), 10-Q (reporting date: 2021-01-31).
1 Q2 2026 Calculation
Receivables turnover
= (RevenueQ2 2026
+ RevenueQ1 2026
+ RevenueQ4 2025
+ RevenueQ3 2025)
÷ Accounts receivable, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of operating activity reveals a general expansion in revenue paired with fluctuating efficiency in receivables management over the evaluated period.
- Revenue and Receivables Growth
- Revenue experienced a sustained upward trajectory, increasing from 5,162 million US dollars in January 2021 to 7,910 million US dollars by April 2026. Parallel to this, net accounts receivable grew from 3,045 million US dollars to 6,372 million US dollars. This simultaneous growth indicates that the increase in outstanding receivables is largely a function of increased sales volume, although the proportionality of this growth shifted across different quarters.
- Receivables Turnover Volatility
- The receivables turnover ratio exhibited notable volatility, starting at 5.98 in January 2021 and descending to a period low of 4.25 in October 2022. A recovery phase followed, with the ratio returning to a peak of 5.64 by October 2023. However, a subsequent downward trend is observed in the final year, with the ratio closing at 4.55 in April 2026.
- Collection Efficiency and Correlation
- Periods of diminished turnover, most notably in October 2022 and April 2026, correlate directly with spikes in net accounts receivable that outpaced revenue growth. The most recent decline in the turnover ratio to 4.55 occurs despite the highest recorded quarterly revenue of 7,910 million US dollars. This divergence suggests a slowdown in the collection cycle or a strategic extension of credit terms to facilitate higher sales volumes during the final period.
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 | Jan 31, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Current assets | |||||||||||||||||||||||||||||
| Less: Current liabilities | |||||||||||||||||||||||||||||
| Working capital | |||||||||||||||||||||||||||||
| Revenue | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Working capital turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||
| Analog Devices Inc. | |||||||||||||||||||||||||||||
| Broadcom Inc. | |||||||||||||||||||||||||||||
| Intel Corp. | |||||||||||||||||||||||||||||
| KLA Corp. | |||||||||||||||||||||||||||||
| Lam Research Corp. | |||||||||||||||||||||||||||||
| Micron Technology Inc. | |||||||||||||||||||||||||||||
| NVIDIA Corp. | |||||||||||||||||||||||||||||
| Qualcomm Inc. | |||||||||||||||||||||||||||||
| Texas Instruments Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-Q (reporting date: 2026-01-25), 10-K (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-Q (reporting date: 2025-01-26), 10-K (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-Q (reporting date: 2024-01-28), 10-K (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-29), 10-K (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-Q (reporting date: 2022-01-30), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02), 10-Q (reporting date: 2021-01-31).
1 Q2 2026 Calculation
Working capital turnover
= (RevenueQ2 2026
+ RevenueQ1 2026
+ RevenueQ4 2025
+ RevenueQ3 2025)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The working capital turnover ratio exhibited a cyclical pattern over the analyzed period, characterized by an initial phase of increasing operational efficiency followed by a period of working capital expansion and subsequent stabilization.
- Efficiency Growth Phase (January 2021 – October 2022)
- An upward trend in the working capital turnover ratio is observed, rising from 1.86 to a peak of 3.02. This improvement was driven by a combination of steady revenue growth and a general contraction in working capital, which reached a period low of 8,546 million USD in October 2022. This phase indicates a period of high efficiency in utilizing net current assets to generate sales.
- Working Capital Expansion and Ratio Compression (January 2023 – July 2024)
- A reversal in the efficiency trend occurred starting in early 2023, with the turnover ratio declining from 2.77 to 2.00 by July 2024. This decline is primarily attributed to a significant increase in working capital, which rose from 9,465 million USD to 13,443 million USD. During this window, revenue remained relatively flat, fluctuating between 6.4 billion and 6.8 billion USD, which resulted in a decrease in the ratio as the asset base grew faster than the generated revenue.
- Stabilization and Recent Performance (October 2024 – April 2026)
- The final period shows the working capital turnover ratio stabilizing within a range of 2.12 to 2.42. Despite working capital remaining at historically elevated levels—ending at 13,573 million USD in April 2026—a substantial increase in revenue to 7,910 million USD in the final quarter provided a supportive effect on the ratio. This suggests an operational shift toward supporting a higher volume of sales through a larger investment in working capital.
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 | Jan 31, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Inventory turnover | |||||||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
| Average inventory processing period1 | |||||||||||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||
| Analog Devices Inc. | |||||||||||||||||||||||||||||
| Broadcom Inc. | |||||||||||||||||||||||||||||
| Intel Corp. | |||||||||||||||||||||||||||||
| KLA Corp. | |||||||||||||||||||||||||||||
| Lam Research Corp. | |||||||||||||||||||||||||||||
| Micron Technology Inc. | |||||||||||||||||||||||||||||
| NVIDIA Corp. | |||||||||||||||||||||||||||||
| Qualcomm Inc. | |||||||||||||||||||||||||||||
| Texas Instruments Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-Q (reporting date: 2026-01-25), 10-K (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-Q (reporting date: 2025-01-26), 10-K (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-Q (reporting date: 2024-01-28), 10-K (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-29), 10-K (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-Q (reporting date: 2022-01-30), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02), 10-Q (reporting date: 2021-01-31).
1 Q2 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of inventory management metrics reveals a cyclical pattern of efficiency, characterized by periods of acceleration in inventory turnover followed by phases of slowing processing speeds. The relationship between the inventory turnover ratio and the average inventory processing period remains inversely correlated throughout the observed timeframe.
- Inventory Turnover Trends
- An initial upward trend in turnover is observed from January 2021, where the ratio stood at 2.55, peaking at 2.82 by October 2021. This improvement was followed by a steady decline, reaching a trough of 2.32 in January 2023. A period of recovery ensued, with the ratio climbing back to a peak of 2.63 by January 2025. However, the most recent data indicates a downward trajectory, with the ratio falling to 2.34 by April 2026, suggesting a decrease in the frequency of inventory replacement.
- Average Inventory Processing Period Analysis
- The processing period exhibits a mirror image of the turnover ratio. Efficiency peaked in October 2021, with the processing period dropping to 129 days from an initial 143 days. A subsequent increase in the duration of inventory holdings is noted, peaking at 157 days between October 2022 and January 2023. A gradual optimization phase followed, reducing the period to 139 days by January 2025. This efficiency gain was short-lived, as the processing period expanded again in the final quarters, reaching 156 days by April 2026.
- Operational Efficiency Insights
- The data indicates three distinct operational cycles. The first cycle (2021) shows a significant tightening of inventory management. The second cycle (2022-2023) shows a marked slowdown in processing speed, potentially indicating supply chain disruptions or a strategic increase in safety stock. The third cycle (2023-2025) demonstrates a return to leaner operations, which has reversed in the most recent periods. The increase in processing days toward the end of the series suggests a recent buildup of inventory or a slowdown in sales velocity.
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 | Jan 31, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Receivables turnover | |||||||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
| Average receivable collection period1 | |||||||||||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||
| Analog Devices Inc. | |||||||||||||||||||||||||||||
| Broadcom Inc. | |||||||||||||||||||||||||||||
| Intel Corp. | |||||||||||||||||||||||||||||
| KLA Corp. | |||||||||||||||||||||||||||||
| Lam Research Corp. | |||||||||||||||||||||||||||||
| Micron Technology Inc. | |||||||||||||||||||||||||||||
| NVIDIA Corp. | |||||||||||||||||||||||||||||
| Texas Instruments Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-Q (reporting date: 2026-01-25), 10-K (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-Q (reporting date: 2025-01-26), 10-K (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-Q (reporting date: 2024-01-28), 10-K (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-29), 10-K (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-Q (reporting date: 2022-01-30), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02), 10-Q (reporting date: 2021-01-31).
1 Q2 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a fluctuating trend in credit management and liquidity efficiency between January 2021 and April 2026. The inverse relationship between receivables turnover and the average receivable collection period is consistent throughout the observed timeframe, with periodic volatility affecting the speed of cash conversion from credit sales.
- Receivables Turnover Trends
- The receivables turnover ratio began at 5.98 in January 2021, experiencing a general decline to a period low of 4.25 by October 2022. A recovery phase followed, with the ratio peaking at 5.64 in October 2023. Subsequent performance exhibits instability, characterized by a rise to 5.67 in October 2025 before a sharp decline to 4.55 by April 2026. This volatility suggests inconsistent efficiency in converting accounts receivable into cash over the five-year span.
- Average Receivable Collection Period Analysis
- The collection period started at 61 days in January 2021 and demonstrated a general upward trajectory in the first two years, reaching a peak of 86 days in October 2022. This represents a significant slowing of cash inflows. Efficiency improved between January 2023 and January 2024, with the period dropping to a low of 65 days. However, a secondary cycle of deterioration occurred between October 2024 and April 2025, where the period climbed back to 80 days. While a brief improvement to 64 days was recorded in January 2026, the period returned to 80 days by April 2026.
- Operational Insights and Patterns
- A recurring pattern of deterioration in collection efficiency is observed around the fourth quarter of the calendar year, specifically in October 2021, October 2022, and October 2024. These spikes in the collection period indicate seasonal pressures or shifts in credit terms that delay payment receipts. The most significant period of inefficiency occurred in late 2022, coinciding with the lowest turnover ratio of 4.25. The return to 80 days in the final recorded period suggests a regression in collection speed, offsetting the gains achieved in the preceding quarter.
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 | Jan 31, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Average inventory processing period | |||||||||||||||||||||||||||||
| Average receivable collection period | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Operating cycle1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | |||||||||||||||||||||||||||||
| Analog Devices Inc. | |||||||||||||||||||||||||||||
| Broadcom Inc. | |||||||||||||||||||||||||||||
| Intel Corp. | |||||||||||||||||||||||||||||
| KLA Corp. | |||||||||||||||||||||||||||||
| Lam Research Corp. | |||||||||||||||||||||||||||||
| Micron Technology Inc. | |||||||||||||||||||||||||||||
| NVIDIA Corp. | |||||||||||||||||||||||||||||
| Texas Instruments Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-04-26), 10-Q (reporting date: 2026-01-25), 10-K (reporting date: 2025-10-26), 10-Q (reporting date: 2025-07-27), 10-Q (reporting date: 2025-04-27), 10-Q (reporting date: 2025-01-26), 10-K (reporting date: 2024-10-27), 10-Q (reporting date: 2024-07-28), 10-Q (reporting date: 2024-04-28), 10-Q (reporting date: 2024-01-28), 10-K (reporting date: 2023-10-29), 10-Q (reporting date: 2023-07-30), 10-Q (reporting date: 2023-04-30), 10-Q (reporting date: 2023-01-29), 10-K (reporting date: 2022-10-30), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-05-01), 10-Q (reporting date: 2022-01-30), 10-K (reporting date: 2021-10-31), 10-Q (reporting date: 2021-08-01), 10-Q (reporting date: 2021-05-02), 10-Q (reporting date: 2021-01-31).
1 Q2 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
The analysis of operational efficiency indicates a fluctuating operating cycle that ranges from a minimum of 195 days to a maximum of 243 days. The overall trend suggests a cyclical pattern in the management of current assets, with the total cycle length experiencing periods of contraction followed by expansion.
- Average Inventory Processing Period
- Inventory management shows a cyclical trend. An initial reduction from 143 days in January 2021 to 129 days in October 2021 was succeeded by a steady increase, peaking at 157 days between January and April 2023. A subsequent period of optimization saw the period decline to 139 days by October 2024. However, a renewed upward trend is observed toward the end of the period, with the processing period climbing to 156 days by April 2026, indicating a lengthening of the time assets remain in inventory.
- Average Receivable Collection Period
- The collection of receivables exhibits notable volatility. The period increased from 61 days in January 2021 to a peak of 86 days in October 2022. Following this peak, a downward trend occurred, reaching a low of 65 days in January 2024. Efficiency in collections fluctuated thereafter, rising to 80 days in January 2025 and ending at 80 days in April 2026. This variability suggests inconsistent timelines in converting credit sales into cash.
- Operating Cycle
- The total operating cycle reflects the combined impact of inventory and receivable durations. The cycle expanded to its peak of 243 days in October 2022, driven by simultaneous increases in both inventory processing and receivable collection. A contraction phase followed, bringing the cycle down to 209 days by October 2024. The period concludes with an expansion to 236 days by April 2026, signaling an overall increase in the time required to complete the operating loop from the acquisition of inventory to the collection of cash.