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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- Balance Sheet: Assets
- Cash Flow Statement
- Analysis of Long-term (Investment) Activity Ratios
- DuPont Analysis: Disaggregation of ROE, ROA, and Net Profit Margin
- Enterprise Value to EBITDA (EV/EBITDA)
- Selected Financial Data since 2005
- Return on Equity (ROE) since 2005
- Current Ratio since 2005
- Price to Operating Profit (P/OP) since 2005
- Analysis of Debt
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Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).
The operating activity ratios demonstrate a period of fluctuation in efficiency, characterized by a general improvement in asset utilization through 2024, followed by a regression in efficiency metrics toward the end of the observed period.
- Inventory and Receivables Management
- Inventory turnover remained relatively stable, oscillating between 2.74 and 4.06. The average inventory processing period showed a gradual improvement, declining from a peak of 133 days in January 2023 to a low of 96 days by November 2025, although a recent increase to 121 days is noted by May 2026.
- Receivables turnover exhibited an upward trend, peaking at 6.06 in May 2024, which corresponds with the shortest average receivable collection period of 60 days. This indicates a significant improvement in credit collection efficiency during the 2023-2024 period, although this efficiency declined toward the end of the cycle, with the collection period extending to 78 days by May 2026.
- Payables and Working Capital Efficiency
- Payables turnover experienced a notable increase, reaching a maximum of 9.61 in May 2024, signifying a period of accelerated payments to suppliers. This is reflected in the average payables payment period, which contracted from 73 days in May 2021 to 38 days in May 2024, before expanding again to 61 days by May 2026.
- Working capital turnover displayed extreme volatility, with anomalous spikes in April and July 2023, where ratios reached 40.95 and 68.52 respectively. Following these outliers, the ratio stabilized but trended downward significantly, ending at 1.68 in May 2026, suggesting a decrease in the efficiency of working capital in generating revenue.
- Operating and Cash Conversion Cycles
- The operating cycle generally compressed from 211 days in May 2021 to a low of 158 days in January 2023, reflecting improved combined efficiency in inventory and receivable management. However, a sharp increase to 223 days occurred in January 2026 before correcting to 199 days.
- The cash conversion cycle remained largely range-bound between 100 and 149 days. A period of optimal cash flow efficiency was observed between August 2024 and November 2024, where the cycle dropped to 105 days. By May 2026, the cash conversion cycle returned to 138 days, mirroring the starting position of the analyzed period and indicating a return to previous liquidity constraints in the operating cycle.
Turnover Ratios
Average No. Days
Inventory Turnover
| May 2, 2026 | Jan 31, 2026 | Nov 1, 2025 | Aug 2, 2025 | May 3, 2025 | Feb 1, 2025 | Nov 2, 2024 | Aug 3, 2024 | May 4, 2024 | Feb 3, 2024 | Oct 28, 2023 | Jul 29, 2023 | Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||
| Cost of goods sold | ||||||||||||||||||||||||||||
| Inventories | ||||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Inventory turnover1 | ||||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
| Analog Devices Inc. | ||||||||||||||||||||||||||||
| Applied Materials 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: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).
1 Q1 2027 Calculation
Inventory turnover
= (Cost of goods soldQ1 2027
+ Cost of goods soldQ4 2026
+ Cost of goods soldQ3 2026
+ Cost of goods soldQ2 2026)
÷ Inventories
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The inventory turnover ratio exhibits a cyclical pattern over the analyzed period, characterized by an initial peak, a period of decline, and a subsequent phase of relative stabilization followed by a recent downturn. The ratio fluctuated between a high of 4.06 in July 2021 and a low of 2.74 in January 2023, suggesting varying levels of efficiency in managing stock relative to the cost of goods sold.
- Inventory Turnover Trends
- Following an early peak in July 2021, the turnover ratio experienced a gradual decline, reaching its lowest point in January 2023. A recovery phase ensued from April 2023 through November 2025, where the ratio largely stabilized between 3.29 and 3.81. However, a notable decline occurred in January 2026, where the ratio dropped to 2.89, before seeing a marginal recovery to 3.02 by May 2026.
- Inventory Accumulation and Cost of Goods Sold
- There is a sustained long-term increase in inventory levels, rising from 538.1 million in May 2021 to 1,400.9 million by May 2026. While the cost of goods sold also trended upward—growing from 414.1 million to 1,157.0 million—the pace of inventory growth accelerated significantly in the final quarters. Specifically, between November 2025 and January 2026, inventories surged from 1,014.5 million to 1,388.0 million, which contributed to the observed contraction in the turnover ratio.
- Operational Efficiency Observations
- The period between October 2023 and November 2025 represents a phase of improved operational efficiency, as the turnover ratio remained consistently higher than the initial 2021 and 2022 levels. The sharp increase in cost of goods sold in November 2024 to 1,166.7 million briefly supported a higher turnover ratio of 3.78, indicating a period of high throughput. The subsequent rise in inventory levels exceeding the growth rate of cost of goods sold in early 2026 indicates a potential buildup of unsold stock or a strategic increase in safety stock, resulting in lower turnover efficiency.
Receivables Turnover
| May 2, 2026 | Jan 31, 2026 | Nov 1, 2025 | Aug 2, 2025 | May 3, 2025 | Feb 1, 2025 | Nov 2, 2024 | Aug 3, 2024 | May 4, 2024 | Feb 3, 2024 | Oct 28, 2023 | Jul 29, 2023 | Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||
| Net revenue | ||||||||||||||||||||||||||||
| Accounts receivable, net | ||||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Receivables turnover1 | ||||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
| Analog Devices Inc. | ||||||||||||||||||||||||||||
| Applied Materials Inc. | ||||||||||||||||||||||||||||
| Broadcom Inc. | ||||||||||||||||||||||||||||
| Intel Corp. | ||||||||||||||||||||||||||||
| KLA Corp. | ||||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||||
| Micron Technology Inc. | ||||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).
1 Q1 2027 Calculation
Receivables turnover
= (Net revenueQ1 2027
+ Net revenueQ4 2026
+ Net revenueQ3 2026
+ Net revenueQ2 2026)
÷ Accounts receivable, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
Analysis of the receivables turnover indicates a general trend of improving operational efficiency in credit management, punctuated by periods of volatility. While net revenue expanded significantly from approximately $832 million in May 2021 to $2.42 billion by May 2026, the management of accounts receivable exhibited varying degrees of synchronization with this growth.
- Early Stability Period (2021–2022)
- Between May 2021 and October 2022, the receivables turnover ratio remained relatively constant, fluctuating within a narrow range between 4.00 and 4.48. This stability suggests a consistent collection cycle during the initial phase of revenue growth, where the growth in accounts receivable closely mirrored the growth in net revenue.
- Efficiency Optimization (2023–Early 2024)
- A marked improvement in collection efficiency occurred starting in January 2023, with the ratio climbing to a peak of 6.06 by February 2024. This period represents the highest level of efficiency in converting receivables into cash, indicating a strategic reduction in the average collection period or a tightening of credit terms during a phase of revenue stabilization.
- Recent Volatility and Recovery (2024–2026)
- From August 2024 through May 2026, the turnover ratio generally remained elevated compared to early 2021 levels, typically staying above 4.6. However, a significant contraction is observed in January 2026, where the ratio dropped to 3.75. This decline coincided with a peak in net accounts receivable of approximately $2.19 billion, suggesting a temporary accumulation of outstanding invoices relative to sales. By May 2026, the ratio recovered to 4.66, indicating a restoration of collection efficiency and a reduction in the accounts receivable balance to $1.87 billion.
Payables Turnover
| May 2, 2026 | Jan 31, 2026 | Nov 1, 2025 | Aug 2, 2025 | May 3, 2025 | Feb 1, 2025 | Nov 2, 2024 | Aug 3, 2024 | May 4, 2024 | Feb 3, 2024 | Oct 28, 2023 | Jul 29, 2023 | Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||
| Cost of goods sold | ||||||||||||||||||||||||||||
| Accounts payable | ||||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Payables turnover1 | ||||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
| Analog Devices Inc. | ||||||||||||||||||||||||||||
| Broadcom Inc. | ||||||||||||||||||||||||||||
| Intel Corp. | ||||||||||||||||||||||||||||
| KLA Corp. | ||||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||||
| Qualcomm Inc. | ||||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).
1 Q1 2027 Calculation
Payables turnover
= (Cost of goods soldQ1 2027
+ Cost of goods soldQ4 2026
+ Cost of goods soldQ3 2026
+ Cost of goods soldQ2 2026)
÷ Accounts payable
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The payables turnover ratio exhibits significant volatility over the observed period, transitioning from a phase of relative stability to a sharp peak in early 2024, followed by a substantial contraction in early 2026.
- Initial Stability and Moderate Growth (2021–2022)
- Between May 2021 and October 2022, the payables turnover ratio remained largely stable, fluctuating within a narrow range between 4.81 and 5.97. During this period, the cost of goods sold increased steadily from 414 million to 760 million, while accounts payable grew proportionally, indicating a consistent operational cycle in supplier payments.
- Accelerated Turnover Peak (2023–Early 2024)
- A marked upward trend occurred throughout 2023, culminating in a peak ratio of 9.61 on May 4, 2024. This increase indicates a period of accelerated payment to suppliers or a reduction in the reliance on trade credit relative to the cost of goods sold. This phase represents the highest efficiency in clearing payables recorded in the series.
- Normalization and Significant Contraction (Late 2024–2026)
- Following the May 2024 peak, the ratio normalized, fluctuating between 5.44 and 6.57 through 2025. However, a sharp decline to 3.74 is observed on January 31, 2026. This drop coincides with a significant spike in accounts payable to 1.073 billion, suggesting a strategic extension of payment terms or a temporary accumulation of unpaid obligations. By May 2, 2026, the ratio rebounded to 5.96, indicating a return to historical norms.
Working Capital Turnover
| May 2, 2026 | Jan 31, 2026 | Nov 1, 2025 | Aug 2, 2025 | May 3, 2025 | Feb 1, 2025 | Nov 2, 2024 | Aug 3, 2024 | May 4, 2024 | Feb 3, 2024 | Oct 28, 2023 | Jul 29, 2023 | Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||
| Current assets | ||||||||||||||||||||||||||||
| Less: Current liabilities | ||||||||||||||||||||||||||||
| Working capital | ||||||||||||||||||||||||||||
| Net revenue | ||||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Working capital turnover1 | ||||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
| Analog Devices Inc. | ||||||||||||||||||||||||||||
| Applied Materials 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: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).
1 Q1 2027 Calculation
Working capital turnover
= (Net revenueQ1 2027
+ Net revenueQ4 2026
+ Net revenueQ3 2026
+ Net revenueQ2 2026)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The working capital turnover ratio for the analyzed period exhibits three distinct phases: initial stability, a period of extreme volatility characterized by outlier spikes, and a terminal downward trend coinciding with a significant expansion of the working capital base.
- Initial Stability and Moderate Growth (May 2021 – January 2022)
- During the first several quarters, the working capital turnover ratio remained relatively stable, fluctuating between 3.89 and 4.86. This period was characterized by a steady increase in net revenue and a gradual rise in working capital, indicating a consistent relationship between the company's short-term assets and its ability to generate sales.
- Extreme Volatility and Liquidity Contraction (April 2023 – July 2023)
- A significant anomaly is observed in the second quarter of 2023, where the turnover ratio spiked to 40.95 and 68.52. These outliers were not driven by proportional revenue growth, but rather by a sharp contraction in working capital, which fell to historical lows of 141.5 million and 82 million USD, respectively. This indicates a period of extreme lean operations or a substantial reduction in net current assets relative to the revenue stream.
- Normalization and Subsequent Decline (October 2023 – May 2026)
- Following the 2023 volatility, the ratio normalized between 4.34 and 5.27 through November 2024. However, starting in early 2025, a sustained downward trend emerged. While net revenue continued to grow from 1.8 billion to 2.4 billion USD, working capital increased exponentially, rising from approximately 1.09 billion to 5.19 billion USD by May 2026. Consequently, the turnover ratio declined from 7.25 to 1.68, suggesting that working capital is growing at a much faster rate than the revenue it supports, which indicates a decrease in short-term operating efficiency.
Average Inventory Processing Period
| May 2, 2026 | Jan 31, 2026 | Nov 1, 2025 | Aug 2, 2025 | May 3, 2025 | Feb 1, 2025 | Nov 2, 2024 | Aug 3, 2024 | May 4, 2024 | Feb 3, 2024 | Oct 28, 2023 | Jul 29, 2023 | Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 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. | ||||||||||||||||||||||||||||
| Applied Materials 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: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).
1 Q1 2027 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of inventory activity reveals a cyclical pattern of efficiency and accumulation over the evaluated period. The relationship between inventory turnover and the average processing period demonstrates a consistent inverse correlation, reflecting shifts in operational velocity and inventory management effectiveness.
- Early Performance and Peak Accumulation
- A notable decrease in the inventory processing period occurred between May 2021 and July 2021, where days dropped from 129 to 90. However, this efficiency was transient, followed by a prolonged upward trend that culminated in a period high of 133 days in January 2023. During this phase, inventory turnover weakened, reaching a low of 2.74, suggesting a slowdown in product movement or strategic stockpiling.
- Mid-Term Efficiency Gains
- Starting in late 2023, a sustained improvement in operational throughput is observed. The processing period declined from 107 days in October 2023 to a low of 96 days by August 2025. This optimization coincided with a rise in inventory turnover, which reached its highest stable levels between 3.61 and 3.81, indicating enhanced sales velocity and leaner inventory management.
- Recent Operational Shifts
- The most recent data points indicate a reversal of the efficiency gains observed in previous years. In early 2026, the average processing period spiked to 126 days, with inventory turnover falling to 2.89. While a slight correction to 121 days occurred by May 2026, the current trajectory suggests a return to longer holding periods and reduced turnover efficiency compared to the 2024-2025 window.
Average Receivable Collection Period
| May 2, 2026 | Jan 31, 2026 | Nov 1, 2025 | Aug 2, 2025 | May 3, 2025 | Feb 1, 2025 | Nov 2, 2024 | Aug 3, 2024 | May 4, 2024 | Feb 3, 2024 | Oct 28, 2023 | Jul 29, 2023 | Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 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. | ||||||||||||||||||||||||||||
| Applied Materials Inc. | ||||||||||||||||||||||||||||
| Broadcom Inc. | ||||||||||||||||||||||||||||
| Intel Corp. | ||||||||||||||||||||||||||||
| KLA Corp. | ||||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||||
| Micron Technology Inc. | ||||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).
1 Q1 2027 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The analysis of receivables management reveals a cyclical pattern of efficiency, characterized by an initial period of stability, a phase of significant improvement in collection speed, and a subsequent increase in the time required to convert receivables into cash.
- Receivables Turnover Trends
- The receivables turnover ratio remained relatively stable between May 2021 and October 2022, fluctuating within a narrow range of 4.00 to 4.48. A period of increased efficiency began in early 2023, culminating in a peak ratio of 6.06 by May 2024. Following this peak, the ratio experienced higher volatility, reaching a period low of 3.75 in January 2026 before recovering to 4.66 by May 2026.
- Average Receivable Collection Period Analysis
- The collection period mirrored the turnover trends inversely. From May 2021 to October 2022, the period remained elevated, peaking at 91 days in October 2021. A notable improvement in liquidity management occurred between January 2023 and May 2024, during which the collection period dropped to its lowest point of 60 days. However, this efficiency was not sustained, as the period climbed back to a maximum of 97 days by January 2026, indicating a temporary slowdown in payment receipts.
- Operational Liquidity Correlation
- A strong inverse correlation is observed between the turnover ratio and the collection period. The most efficient phase of receivables management occurred in May 2024, where the highest turnover ratio coincided with the shortest collection period. Conversely, the degradation of collection efficiency in early 2026, evidenced by the 97-day collection peak, corresponds directly with the lowest observed turnover ratio of 3.75, suggesting a temporary increase in credit risk or a shift in customer payment terms during that window.
Operating Cycle
| May 2, 2026 | Jan 31, 2026 | Nov 1, 2025 | Aug 2, 2025 | May 3, 2025 | Feb 1, 2025 | Nov 2, 2024 | Aug 3, 2024 | May 4, 2024 | Feb 3, 2024 | Oct 28, 2023 | Jul 29, 2023 | Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 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. | ||||||||||||||||||||||||||||
| Applied Materials Inc. | ||||||||||||||||||||||||||||
| Broadcom Inc. | ||||||||||||||||||||||||||||
| Intel Corp. | ||||||||||||||||||||||||||||
| KLA Corp. | ||||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||||
| Micron Technology Inc. | ||||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).
1 Q1 2027 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
The operating cycle exhibits a general trend of contraction from mid-2021 through late 2025, suggesting an overall improvement in the efficiency of converting resources into cash, despite significant volatility observed in the final periods of the analysis.
- Average Inventory Processing Period
- Inventory processing durations showed considerable fluctuation, starting at 129 days and reaching a peak of 133 days in January 2023. A period of relative optimization was observed between February 2024 and November 2024, during which the period remained consistently below 101 days. A subsequent increase to 126 days by January 2026 indicates a temporary expansion of inventory holdings before moderating to 121 days in May 2026.
- Average Receivable Collection Period
- The collection period demonstrated a general improvement from 2021 levels, reaching a minimum of 60 days in May 2024. This downward trend suggests enhanced efficiency in credit management and cash realization. However, a sharp reversal occurred in January 2026, where the collection period spiked to 97 days, the highest point in the analyzed period, before receding to 78 days by May 2026.
- Operating Cycle Analysis
- The aggregate operating cycle decreased from an initial 211 days in May 2021 to a low of 158 days in January 2023. Throughout 2024 and 2025, the cycle remained relatively stable, fluctuating between 165 and 176 days. A significant anomaly is observed in January 2026, where the cycle peaked at 223 days. This spike was the result of simultaneous increases in both inventory processing and receivable collection times. By May 2026, the cycle moderated to 199 days, though it remains elevated compared to the 2024-2025 average.
Average Payables Payment Period
| May 2, 2026 | Jan 31, 2026 | Nov 1, 2025 | Aug 2, 2025 | May 3, 2025 | Feb 1, 2025 | Nov 2, 2024 | Aug 3, 2024 | May 4, 2024 | Feb 3, 2024 | Oct 28, 2023 | Jul 29, 2023 | Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||
| Payables turnover | ||||||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||
| Average payables payment period1 | ||||||||||||||||||||||||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
| Analog Devices Inc. | ||||||||||||||||||||||||||||
| Broadcom Inc. | ||||||||||||||||||||||||||||
| Intel Corp. | ||||||||||||||||||||||||||||
| KLA Corp. | ||||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||||
| Qualcomm Inc. | ||||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).
1 Q1 2027 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
An analysis of short-term operating activity reveals a fluctuating pattern in the management of accounts payable between May 2021 and May 2026. The company experienced a period of increased payment velocity followed by a return to historical averages, interrupted by a significant outlier in early 2026.
- Payables Turnover Trends
- The payables turnover ratio remained relatively stable between 4.81 and 6.29 from May 2021 through January 2023. A period of acceleration followed, with the ratio climbing to a peak of 9.61 by May 4, 2024, indicating a more rapid settlement of supplier obligations. Subsequently, the ratio moderated, fluctuating between 5.44 and 6.57, until a sharp decline to 3.74 was recorded on January 31, 2026, before recovering to 5.96 by May 2, 2026.
- Average Payables Payment Period Evolution
- The payment period began at 73 days and maintained a range of 66 to 76 days until early 2023. A consistent downward trend was observed starting in January 2023, reaching a minimum of 38 days by February 3, 2024, which suggests a strategic shift toward accelerated vendor payments. Following this trough, the payment period reverted to a range of 56 to 67 days throughout late 2024 and 2025. A notable anomaly occurred on January 31, 2026, where the payment period spiked to 98 days, representing the longest duration in the analyzed period, before normalizing to 61 days by May 2, 2026.
- Correlation and Operational Insights
- A strict inverse correlation is observed between the payables turnover ratio and the average payment period. The peak in turnover observed in early 2024 corresponds directly with the shortest payment cycle. The operational spike in the payment period to 98 days in January 2026 aligns with the lowest turnover ratio of 3.74, indicating a temporary extension of credit terms or a delay in settlements during that specific period.
Cash Conversion Cycle
| May 2, 2026 | Jan 31, 2026 | Nov 1, 2025 | Aug 2, 2025 | May 3, 2025 | Feb 1, 2025 | Nov 2, 2024 | Aug 3, 2024 | May 4, 2024 | Feb 3, 2024 | Oct 28, 2023 | Jul 29, 2023 | Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||
| Average inventory processing period | ||||||||||||||||||||||||||||
| Average receivable collection period | ||||||||||||||||||||||||||||
| Average payables payment period | ||||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||
| Cash conversion cycle1 | ||||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | ||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | ||||||||||||||||||||||||||||
| Analog Devices Inc. | ||||||||||||||||||||||||||||
| Broadcom Inc. | ||||||||||||||||||||||||||||
| Intel Corp. | ||||||||||||||||||||||||||||
| KLA Corp. | ||||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).
1 Q1 2027 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + – =
2 Click competitor name to see calculations.
The cash conversion cycle exhibits significant volatility over the analyzed period, characterized by a general expansion in the first half of the timeline followed by a period of optimization and a subsequent recent increase. The cycle fluctuated between a minimum of 100 days in July 2021 and a peak of 150 days in July 2023, ending at 138 days in May 2026.
- Average Inventory Processing Period
- Inventory turnover exhibits a cyclical pattern with a notable peak of 133 days in January 2023. A period of efficiency improvement followed, with the processing period declining to a low of 96 days between August and November 2024. However, a sharp increase to 126 days occurred in January 2026, indicating a recent buildup of inventory or a slowdown in sales velocity before settling at 121 days.
- Average Receivable Collection Period
- A general downward trend in collection time is observed from 2021 through early 2025. The period decreased from highs of 91 days in October 2021 to a minimum of 60 days in May 2024, suggesting improved credit management or more favorable payment terms. This efficiency was interrupted in January 2026 by a spike to 97 days, the highest recorded value in the series, before returning to 78 days.
- Average Payables Payment Period
- Payment strategies toward suppliers have shifted considerably. The period decreased from an initial range of 73-76 days down to 38 days by May 2024, indicating a more aggressive payment schedule. A reversal occurred thereafter, culminating in a significant extension to 98 days in January 2026, which served to partially offset the increased cash tied up in inventory and receivables during that same period.
- Cash Conversion Cycle Synthesis
- The overall cash conversion cycle was most strained between July 2022 and October 2023, where it consistently remained above 140 days. An operational improvement phase was evident from February 2024 to November 2024, where the cycle reached its most efficient levels since 2021, dipping to 105 days. The recent expansion to 138 days by May 2026 is primarily driven by a simultaneous increase in both inventory processing and receivable collection times, which has not been fully neutralized by the fluctuations in payables management.