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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- Income Statement
- Statement of Comprehensive Income
- Cash Flow Statement
- Common-Size Balance Sheet: Assets
- Common-Size Balance Sheet: Liabilities and Stockholders’ Equity
- DuPont Analysis: Disaggregation of ROE, ROA, and Net Profit Margin
- Analysis of Geographic Areas
- Present Value of Free Cash Flow to Equity (FCFE)
- Net Profit Margin since 2005
- Total Asset Turnover since 2005
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Short-term Activity Ratios (Summary)
Based on: 10-K (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30).
An analysis of the operational activity ratios reveals a period of significant fluctuation in efficiency, particularly concerning inventory management and the overall cash conversion cycle. There is a notable trend of declining operational velocity through 2023, followed by a period of relative stabilization and partial recovery in 2024 and 2025.
- Inventory Management
- Inventory turnover exhibited a steady decline from 1.73 in September 2021 to a low of 1.28 in December 2023. This decline corresponds with an increase in the average inventory processing period, which rose from 211 days to a peak of 285 days during the same interval. Since early 2024, there has been a moderate recovery, with the turnover ratio stabilizing between 1.44 and 1.49 and the processing period contracting to approximately 245 to 253 days.
- Receivables and Payables Dynamics
- Receivables turnover remained relatively volatile but generally stable, fluctuating between 4.59 and 6.24. The average receivable collection period showed a similar pattern, typically ranging between 59 and 79 days, suggesting a consistent approach to credit management. Conversely, payables turnover increased markedly from approximately 7.8 in 2021 to peaks above 11.0 starting in mid-2023. This shift is reflected in the average payables payment period, which dropped from roughly 45 days to a range of 32 to 37 days, indicating a faster settlement of obligations to suppliers.
- Operational and Cash Conversion Cycles
- The operating cycle lengthened significantly from 283 days in September 2021 to a peak of 355 days in December 2023, driven primarily by the slowdown in inventory turnover. Consequently, the cash conversion cycle followed a similar trajectory, increasing from 236 days to 320 days by December 2023. While the cash conversion cycle moderated to 288 days by June 2026, it remains higher than the 2021 baseline, indicating that capital remains tied up in the operating process for a longer duration than in previous periods.
- Working Capital Efficiency
- Working capital turnover demonstrates a gradual long-term downward trend, moving from 2.06 in September 2021 to 1.68 by June 2026. This decline suggests a decrease in the efficiency with which working capital is utilized to generate revenue, coinciding with the overall lengthening of the cash conversion cycle.
Turnover Ratios
Average No. Days
Inventory Turnover
| Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Costs of revenues | ||||||||||||||||||||||||||
| 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. | ||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||
| Marvell Technology Inc. | ||||||||||||||||||||||||||
| Micron Technology Inc. | ||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||
| Qualcomm Inc. | ||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30).
1 Q4 2026 Calculation
Inventory turnover
= (Costs of revenuesQ4 2026
+ Costs of revenuesQ3 2026
+ Costs of revenuesQ2 2026
+ Costs of revenuesQ1 2026)
÷ Inventories
= ( + + + )
÷ =
2 Click competitor name to see calculations.
Analysis of operating activity indicates a period of declining inventory turnover efficiency between 2021 and 2023, followed by a stabilization phase extending through mid-2026. While there is a general upward trend in the cost of revenues, the growth in total inventory levels has been more aggressive, leading to an overall reduction in the turnover ratio compared to the start of the observed period.
- Inventory Turnover Volatility
- The turnover ratio exhibited a steady downward trajectory from a peak of 1.75 in December 2021 to a trough of 1.28 in December 2023. This decline reflects a period where inventory accumulation outpaced the cost of revenues, indicating a decrease in the velocity of inventory throughput.
- Comparative Growth Rates
- A significant disparity is observed between the growth of costs of revenues and inventory holdings. Between September 2021 and June 2026, costs of revenues increased from approximately 813.6 million to 1.41 billion, while inventories grew more substantially from 1.72 billion to 3.65 billion. The fact that inventory levels grew at a faster rate than costs of revenues explains the long-term compression of the turnover ratio.
- Operational Stabilization
- From March 2024 through June 2026, the inventory turnover ratio ceased its decline and stabilized, fluctuating within a narrow band between 1.29 and 1.49. This suggests the establishment of a new operational baseline in inventory management, where stock levels are maintained in closer proportion to the increasing costs of revenues.
Receivables Turnover
| Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Revenues | ||||||||||||||||||||||||||
| 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. | ||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||
| Marvell Technology Inc. | ||||||||||||||||||||||||||
| Micron Technology Inc. | ||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30).
1 Q4 2026 Calculation
Receivables turnover
= (RevenuesQ4 2026
+ RevenuesQ3 2026
+ RevenuesQ2 2026
+ RevenuesQ1 2026)
÷ Accounts receivable, net
= ( + + + )
÷ =
2 Click competitor name to see calculations.
An analysis of the operating activity ratios reveals a general upward trajectory in both revenue and net accounts receivable from September 2021 through June 2026. While revenues grew from approximately 2.08 billion to 3.66 billion, net accounts receivable also expanded from 1.46 billion to 2.89 billion. This indicates an overall expansion of the business scale, though the efficiency of credit and collection processes experienced periodic fluctuations.
- Receivables Turnover Volatility
- The receivables turnover ratio demonstrated a cyclical pattern, with a significant period of peak efficiency occurring between March 2023 and September 2023. During this timeframe, the ratio ascended from 5.48 to a period-high of 6.24, indicating an accelerated collection cycle relative to sales. Subsequent to this peak, the ratio exhibited increased volatility, reaching a low of 4.65 in December 2024 before stabilizing in the 5.30 to 5.50 range throughout much of 2025.
- Correlation Between Revenue and Asset Growth
- A direct correlation is observed between revenue growth and the absolute increase in net accounts receivable. However, the turnover ratio highlights instances where receivable growth outpaced revenue gains. For example, in December 2022, despite revenue reaching 2.98 billion, the turnover ratio dropped to 4.59, reflecting a temporary lag in the conversion of receivables into cash.
- Recent Trend Observations
- Toward the end of the observed period, a recovery in collection efficiency was noted in December 2025, where the turnover ratio reached 6.15. This trend reversed sharply by June 2026, with the ratio falling to 4.70. This decline is associated with a marked increase in net accounts receivable to 2.89 billion, suggesting that the highest recorded revenue levels in June 2026 were accompanied by a slower collection rate or more liberal credit extensions.
Payables Turnover
| Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Costs of revenues | ||||||||||||||||||||||||||
| Accounts payable | ||||||||||||||||||||||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||
| Payables turnover1 | ||||||||||||||||||||||||||
| Benchmarks | ||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | ||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | ||||||||||||||||||||||||||
| Analog Devices Inc. | ||||||||||||||||||||||||||
| Broadcom Inc. | ||||||||||||||||||||||||||
| Intel Corp. | ||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||
| Marvell Technology Inc. | ||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||
| Qualcomm Inc. | ||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30).
1 Q4 2026 Calculation
Payables turnover
= (Costs of revenuesQ4 2026
+ Costs of revenuesQ3 2026
+ Costs of revenuesQ2 2026
+ Costs of revenuesQ1 2026)
÷ Accounts payable
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of short-term operating activity reveals a dynamic relationship between costs of revenues and accounts payable, resulting in fluctuating payables turnover ratios over the observed period. While costs of revenues demonstrated a long-term upward trajectory, growing from 813.6 million USD in September 2021 to 1.41 billion USD by June 2026, the management of supplier obligations underwent several distinct phases.
- Initial Stability Phase (September 2021 – December 2022)
- During this period, the payables turnover ratio remained relatively consistent, oscillating within a narrow range between 7.77 and 8.43. This stability suggests a synchronized alignment between the growth in procurement costs and the accumulation of accounts payable, indicating a consistent payment cycle to suppliers.
- Acceleration and Efficiency Peak (March 2023 – December 2023)
- A significant shift occurred in early 2023, characterized by a sharp increase in the turnover ratio, which peaked at 11.37 in June 2023. This acceleration coincided with a substantial reduction in accounts payable, which dropped from 530.4 million USD in December 2022 to 371.0 million USD by June 2023. The higher ratio indicates a faster settlement of obligations or a strategic reduction in supplier credit utilization during this window.
- Stabilization and Late-Period Divergence (March 2024 – June 2026)
- The turnover ratio maintained a plateau around 10.10 to 10.97 through 2024. However, a notable divergence emerged toward the end of the series. While costs of revenues continued to rise steadily, accounts payable experienced a sharp surge, reaching a peak of 623.7 million USD by June 2026. Consequently, the payables turnover ratio declined from 11.52 in December 2025 to 8.43 in June 2026, suggesting a strategic shift toward extending payment terms or an increase in credit extended by suppliers to support higher operational volumes.
Overall, the data indicates that while operational costs have scaled significantly, the company has transitioned from a period of rapid payable settlement in 2023 back to a more conservative turnover rate by 2026, effectively increasing its leverage with suppliers as the scale of operations expanded.
Working Capital Turnover
| Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||
| Current assets | ||||||||||||||||||||||||||
| Less: Current liabilities | ||||||||||||||||||||||||||
| Working capital | ||||||||||||||||||||||||||
| Revenues | ||||||||||||||||||||||||||
| 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. | ||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||
| Marvell Technology Inc. | ||||||||||||||||||||||||||
| Micron Technology Inc. | ||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||
| Qualcomm Inc. | ||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30).
1 Q4 2026 Calculation
Working capital turnover
= (RevenuesQ4 2026
+ RevenuesQ3 2026
+ RevenuesQ2 2026
+ RevenuesQ1 2026)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of operating activity indicates a divergent trend between revenue growth and the expansion of working capital, leading to a gradual decline in working capital turnover efficiency over the observed period.
- Working Capital Growth
- Working capital exhibits a sustained upward trajectory, increasing from 3.62 billion USD in September 2021 to 8.08 billion USD by June 2026. While the growth was steady between 2021 and 2023, a more accelerated expansion occurred from March 2024 onwards, with the balance nearly doubling between the start of the period and its conclusion.
- Revenue Performance
- Revenues show a general increase from 2.08 billion USD in September 2021 to 3.66 billion USD in June 2026. The growth pattern was characterized by an initial peak in December 2022 at 2.98 billion USD, followed by a period of contraction and stagnation throughout 2023. A recovery phase began in 2024, with revenues trending upward consistently through the end of the period.
- Working Capital Turnover Analysis
- The working capital turnover ratio shifted from a period of relative stability to a consistent decline. From September 2021 through December 2023, the ratio remained robust, fluctuating between 2.06 and 2.31, peaking at 2.31 in both March 2023 and December 2023. However, starting in March 2024, the ratio entered a downward trend, falling from 1.89 to a low of 1.68 by June 2026.
- Efficiency Implications
- The diminishing turnover ratio indicates that working capital is expanding at a significantly faster rate than the revenues it supports. The transition from ratios above 2.0 to ratios below 1.8 suggests a reduction in the efficiency of short-term asset utilization. This pattern implies that more capital is being tied up in operating activities to generate each unit of revenue, which may point to increased inventory levels, slower receivables collection, or a strategic accumulation of current assets.
Average Inventory Processing Period
| Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 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. | ||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||
| Marvell Technology Inc. | ||||||||||||||||||||||||||
| Micron Technology Inc. | ||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||
| Qualcomm Inc. | ||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30).
1 Q4 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The inventory management metrics demonstrate a distinct cyclical trend between September 2021 and June 2026, characterized by a prolonged period of declining efficiency followed by a partial recovery and subsequent stabilization. A consistent inverse correlation is maintained between the inventory turnover ratio and the average inventory processing period.
- Inventory Efficiency Degradation (September 2021 – December 2023)
- A steady decline in operational efficiency is observed during this period. The inventory turnover ratio decreased from 1.73 in September 2021 to a low of 1.28 by December 2023. Correspondingly, the average inventory processing period expanded significantly, rising from 211 days to a peak of 285 days. This trend indicates a slowing of inventory movement and an increase in the time required to convert inventory into sales.
- Operational Recovery Phase (December 2023 – December 2025)
- Following the December 2023 trough, a reversal in the trend occurred. The inventory turnover ratio improved steadily, climbing from 1.28 to 1.49 by December 2025. This improvement is mirrored in the average inventory processing period, which contracted from 285 days to 245 days, suggesting a more streamlined movement of goods and improved working capital management.
- Stabilization and Recent Variance (December 2025 – June 2026)
- The final period shows a plateau in performance. The inventory turnover ratio fluctuated slightly, ending at 1.44 in June 2026, while the average inventory processing period saw a modest increase from 245 days to 253 days. These figures suggest that the efficiency gains realized during the recovery phase have largely stabilized, with minor volatility in processing times.
Overall, the data reflects a significant volatility in inventory throughput, with the processing period expanding by approximately 35% at its peak before correcting. Despite the recovery, the inventory processing period remains higher in June 2026 (253 days) than it was at the start of the analyzed period in September 2021 (211 days).
Average Receivable Collection Period
| Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 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. | ||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||
| Marvell Technology Inc. | ||||||||||||||||||||||||||
| Micron Technology Inc. | ||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30).
1 Q4 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The average receivable collection period exhibits a cyclical pattern of volatility over the analyzed timeframe, fluctuating between a minimum of 59 days and a maximum of 79 days. This variability suggests periodic shifts in credit management efficiency or seasonal fluctuations in customer payment behaviors.
- Collection Period Trends and Volatility
- An initial period of relative stability is observed between September 2021 and June 2022, with collection times ranging from 68 to 77 days. A peak of 79 days occurred in December 2022, marking a temporary slowdown in receivable conversions. This was followed by a significant improvement in efficiency throughout 2023, reaching a trough of 59 days by September 30, 2023, which represents the highest level of liquidity for receivables in the dataset.
- Secondary Cycles and Recent Performance
- Following the 2023 efficiency peak, the collection period trended upward again, returning to a peak of 79 days by December 31, 2024. A subsequent sharp correction occurred, bringing the period back down to 59 days by December 31, 2025. However, the most recent data shows a renewed increase, with the collection period extending to 78 days by June 30, 2026, indicating a recurring pattern of expansion and contraction in the cash conversion cycle.
- Correlation with Receivables Turnover
- A direct inverse relationship is maintained between the receivables turnover ratio and the average collection period. The highest turnover ratio of 6.24 in September 2023 coincides precisely with the lowest collection period of 59 days. Conversely, the lowest turnover ratios, such as 4.59 in December 2022 and 4.65 in December 2024, correspond with the peak collection periods of 79 days. This consistency confirms that fluctuations in the collection period are the primary driver of changes in the turnover ratio.
Operating Cycle
| Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 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. | ||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||
| Marvell Technology Inc. | ||||||||||||||||||||||||||
| Micron Technology Inc. | ||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30).
1 Q4 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
The operating cycle exhibits a period of significant expansion followed by a partial correction and subsequent stabilization. The duration of the cycle increased from 283 days in September 2021 to a peak of 355 days by December 2023, representing a substantial extension in the time required to convert inventories into cash. After this peak, the cycle experienced a moderate decline, reaching a low of 304 days in December 2025 before trending upward again to 331 days by June 2026.
- Average Inventory Processing Period
- A prolonged upward trend is observed from September 2021 (211 days) through December 2023, where the period reached its maximum of 285 days. This indicates a slowing of inventory turnover during this timeframe. From January 2024 onward, a general downward trend occurred, with the period declining to a low of 245 days in December 2025, before stabilizing between 248 and 253 days in the first half of 2026.
- Average Receivable Collection Period
- The collection period demonstrates relative volatility without a definitive long-term linear trend, generally fluctuating between 59 and 79 days. Notable lows occurred in September 2023 (59 days) and December 2025 (59 days), while peaks were reached in December 2022 (79 days) and December 2024 (79 days). This suggests that while collection efficiency varies quarterly, it does not exert the same magnitude of influence on the total operating cycle as inventory management does.
- Operating Cycle Drivers
- Analysis reveals that the movements in the total operating cycle are primarily driven by the average inventory processing period. The correlation between these two metrics is strong, as the expansion of the operating cycle from 283 to 355 days closely mirrors the increase in inventory processing time. The receivable collection period contributes a secondary, more erratic influence, but the overarching trend of the operating cycle is dictated by the efficiency of inventory turnover.
Average Payables Payment Period
| Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 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. | ||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||
| Marvell Technology Inc. | ||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||
| Qualcomm Inc. | ||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30).
1 Q4 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The average payables payment period exhibits a distinct structural shift over the observed timeframe, moving from a period of relative stability to a phase of accelerated payments, and eventually trending back toward longer payment cycles.
- Initial Stability Phase (September 2021 – December 2022)
- During this period, the average payables payment period remained consistently high, fluctuating within a narrow range of 43 to 47 days. This stability is mirrored by the payables turnover ratio, which remained between 7.77 and 8.43, indicating a consistent approach to managing supplier obligations.
- Payment Cycle Compression (March 2023 – September 2024)
- A significant contraction in the payment cycle occurred starting in March 2023, with the average payment period dropping sharply to 35 days and reaching a low of 32 days by June 2023. This acceleration in settlement corresponds with a marked increase in the payables turnover ratio, which rose to a peak of 11.37. Through September 2024, the payment period stabilized at approximately 33 days, suggesting a strategic shift toward faster supplier remittances.
- Stabilization and Late-Term Expansion (December 2024 – June 2026)
- The payment period remained relatively stable between 32 and 36 days through December 2025. However, a reversal is observed in the first half of 2026, where the period extended to 37 days in March and returned to 43 days by June 2026. This expansion is accompanied by a decrease in the payables turnover ratio to 8.43, signaling a return to the operational patterns observed in the 2021-2022 period.
Cash Conversion Cycle
| Jun 30, 2026 | Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 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. | ||||||||||||||||||||||||||
| Lam Research Corp. | ||||||||||||||||||||||||||
| Marvell Technology Inc. | ||||||||||||||||||||||||||
| NVIDIA Corp. | ||||||||||||||||||||||||||
| Texas Instruments Inc. | ||||||||||||||||||||||||||
Based on: 10-K (reporting date: 2026-06-30), 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30).
1 Q4 2026 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 a period of significant expansion followed by a gradual contraction. Starting at 236 days in September 2021, the cycle trended upward to a peak of 320 days in December 2023, before moderately declining to 288 days by June 2026.
- Average Inventory Processing Period
- This metric serves as the primary driver of the overall cycle length. A sustained upward trend is observed from September 2021 (211 days) to a peak of 285 days in December 2023. Following this peak, a steady downward trend emerges, with the period reducing to 245 days by December 2025, before a slight uptick to 253 days by June 2026. This pattern indicates a substantial increase in inventory holding times during the 2021-2023 period, followed by a phase of improved inventory turnover.
- Average Receivable Collection Period
- The collection period demonstrates consistent volatility without a definitive long-term directional trend, fluctuating within a range of 59 to 79 days. Notable peaks are observed in December 2022 and December 2024, while troughs occur in September 2023 and December 2025. This suggest cyclical variations in the timing of cash inflows from customers.
- Average Payables Payment Period
- A distinct shift in supplier payment behavior is evident. The period remained relatively stable between 43 and 47 days from September 2021 through December 2022. Starting in March 2023, the period dropped sharply, remaining largely within the 32 to 36-day range for several years. This acceleration of payments to suppliers contributed to the lengthening of the cash conversion cycle by reducing the time cash is held internally. A return to 43 days is observed by June 2026.
The expansion of the cash conversion cycle through late 2023 was catalyzed by the simultaneous increase in inventory processing time and a reduction in the payables payment period. The subsequent improvement in the cycle length from 2024 onward is primarily attributable to the reduction in the average inventory processing period, which offset the continued shorter payables duration.