Analysis of Short-term (Operating) Activity Ratios
Quarterly Data
Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Short-term Activity Ratios (Summary)
KLA Corp., short-term (operating) activity ratios (quarterly data)
Based on: 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), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
An analysis of the operational activity ratios reveals a period of declining efficiency from late 2020 through late 2023, followed by a phase of relative stabilization and partial recovery through the first quarter of 2026. The primary driver of these fluctuations is the significant expansion and subsequent moderation of the inventory processing period.
- Inventory Management
- A sustained downward trend in inventory turnover is observed, declining from 1.77 in September 2020 to a low of 1.28 by December 2023. This coincides with a substantial increase in the average inventory processing period, which peaked at 285 days. While the turnover ratio improved slightly to 1.47 by March 2026, the inventory processing period remains elevated at 248 days compared to the 206 days recorded at the start of the period, indicating a long-term shift toward slower inventory movement.
- Receivables and Payables Efficiency
- Receivables turnover remained relatively stable, fluctuating between 4.59 and 6.24. The average receivable collection period showed no singular long-term trend, generally oscillating between 59 and 79 days, suggesting consistent credit management policies. Conversely, payables turnover increased from an average of approximately 8.0 to 11.0 between 2020 and 2025. This trend is mirrored by a decrease in the average payables payment period, which dropped from peaks of 47 days to a consistent range of 32 to 37 days, indicating that suppliers are being paid more rapidly.
- Operating Cycle and Cash Conversion
- The operating cycle expanded significantly, rising from 269 days in September 2020 to a peak of 355 days in December 2023, driven primarily by the slowing of inventory turnover. The cash conversion cycle (CCC) followed a similar trajectory, increasing from 231 days to a peak of 320 days. The combined effect of slower inventory movement and shorter payables payment periods extended the time required to convert resource inputs into cash. However, the CCC moderated to 275 days by March 2026, reflecting some improvement in operational liquidity.
- Working Capital Utilization
- Working capital turnover experienced a period of growth, peaking at 2.31 in March 2023, before entering a gradual decline to 1.72 by March 2026. This decline suggests a reduction in the efficiency with which working capital is being utilized to generate revenue during the latter part of the observed period.
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Turnover Ratios
Average No. Days
Inventory Turnover
KLA Corp., inventory turnover calculation (quarterly data)
| 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 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||||
| Costs of revenues | 1,327,672) | 1,271,210) | 1,243,070) | 1,207,286) | 1,175,689) | 1,221,461) | 1,147,431) | 1,010,551) | 993,885) | 976,746) | 946,891) | 962,949) | 1,005,346) | 1,208,786) | 1,041,226) | 978,564) | 892,091) | 908,162) | 813,624) | 772,241) | 709,629) | 669,733) | 620,562) | |||||||
| Inventories | 3,437,046) | 3,282,605) | 3,297,368) | 3,212,149) | 3,155,777) | 3,046,340) | 3,109,837) | 3,034,781) | 3,007,053) | 3,038,628) | 3,007,705) | 2,876,784) | 2,749,743) | 2,535,375) | 2,408,325) | 2,146,889) | 1,982,297) | 1,829,412) | 1,715,339) | 1,575,380) | 1,450,588) | 1,420,618) | 1,394,225) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Inventory turnover1 | 1.47 | 1.49 | 1.47 | 1.48 | 1.44 | 1.44 | 1.33 | 1.29 | 1.29 | 1.28 | 1.37 | 1.47 | 1.54 | 1.63 | 1.59 | 1.67 | 1.71 | 1.75 | 1.73 | 1.76 | 1.81 | 1.76 | 1.77 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Inventory Turnover, Competitors2 | ||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | 2.31 | 2.21 | 2.27 | 2.32 | 2.16 | 2.28 | 2.33 | 2.44 | 2.61 | 2.81 | 2.74 | 2.70 | 3.05 | 3.45 | 3.62 | 4.24 | 4.00 | — | — | — | — | |||||||
| Analog Devices Inc. | — | — | 2.47 | 2.56 | 2.59 | 2.66 | 2.71 | 2.79 | 2.86 | 2.84 | 2.80 | 2.70 | 2.61 | 2.68 | 2.84 | 3.20 | 3.82 | 3.78 | 3.66 | 2.33 | 3.16 | 3.16 | 3.18 | |||||||
| Applied Materials Inc. | — | — | 2.41 | 2.46 | 2.54 | 2.58 | 2.63 | 2.63 | 2.54 | 2.46 | 2.49 | 2.47 | 2.45 | 2.41 | 2.32 | 2.33 | 2.42 | 2.60 | 2.79 | 2.82 | 2.80 | 2.65 | 2.55 | |||||||
| Broadcom Inc. | — | — | 7.42 | 9.07 | 9.12 | 9.59 | 10.09 | 10.83 | 8.92 | 8.09 | 6.67 | 5.86 | 6.10 | 6.00 | 5.98 | 5.77 | 5.92 | 6.40 | 6.95 | 8.18 | 9.10 | 10.44 | 11.01 | |||||||
| Intel Corp. | — | — | 2.79 | 2.97 | 3.00 | 3.28 | 2.95 | 2.93 | 2.94 | 2.87 | 2.81 | 2.92 | 2.85 | 2.78 | 2.68 | 2.74 | 2.90 | 3.02 | 2.97 | — | — | — | — | |||||||
| Lam Research Corp. | 2.71 | 2.56 | 2.43 | 2.20 | 2.00 | 1.95 | 1.95 | 1.86 | 1.75 | 1.77 | 1.84 | 2.00 | 2.14 | 2.16 | 2.24 | 2.36 | 2.60 | 2.89 | 2.95 | 2.91 | 2.78 | 2.71 | 2.77 | |||||||
| Micron Technology Inc. | — | 2.92 | 2.82 | 2.69 | 2.44 | 2.27 | 2.31 | 2.20 | 2.22 | 2.18 | 2.24 | 2.02 | 2.01 | 2.06 | 1.91 | 2.53 | 3.06 | 3.14 | 3.60 | 3.85 | 3.73 | 3.43 | 2.74 | |||||||
| NVIDIA Corp. | 2.83 | 3.33 | 3.92 | 3.24 | 3.57 | 3.47 | 3.36 | 3.15 | 2.83 | 2.68 | 2.45 | 2.25 | 2.70 | 3.02 | 3.25 | 3.62 | 3.87 | 3.75 | 3.63 | — | — | — | — | |||||||
| Qualcomm Inc. | — | 2.73 | 3.02 | 3.02 | 3.02 | 3.02 | 2.84 | 2.66 | 2.74 | 2.64 | 2.58 | 2.47 | 2.54 | 2.61 | 2.65 | 2.94 | 3.27 | 3.58 | 3.90 | 4.42 | 4.18 | 4.41 | 4.17 | |||||||
| Texas Instruments Inc. | — | — | 1.68 | 1.58 | 1.52 | 1.45 | 1.44 | 1.45 | 1.51 | 1.59 | 1.60 | 1.63 | 1.65 | 1.70 | 1.92 | 2.27 | 2.56 | 2.74 | 2.88 | — | — | — | — | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 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), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Inventory turnover
= (Costs of revenuesQ3 2026
+ Costs of revenuesQ2 2026
+ Costs of revenuesQ1 2026
+ Costs of revenuesQ4 2025)
÷ Inventories
= (1,327,672 + 1,271,210 + 1,243,070 + 1,207,286)
÷ 3,437,046 = 1.47
2 Click competitor name to see calculations.
An analysis of the operational activity ratios reveals a significant expansion in inventory levels that has outpaced the growth in the cost of revenues, leading to a general decline in inventory turnover efficiency over the observed period, followed by a recent phase of stabilization.
- Cost of Revenues Trends
- Costs of revenues exhibited a consistent long-term upward trajectory, increasing from 620,562 thousand dollars in September 2020 to 1,327,672 thousand dollars by March 2026. While the growth was generally steady, a period of volatility occurred between March 2023 and December 2023, where costs fluctuated between 946,891 thousand and 976,746 thousand dollars before resuming a growth trend into 2024 and 2025.
- Inventory Accumulation
- Inventories grew substantially and more aggressively than costs of revenues. Starting at 1,394,225 thousand dollars in September 2020, inventory levels climbed to 3,437,046 thousand dollars by March 2026. This represents a more than two-fold increase in the capital tied up in inventory, with a particularly steep rise observed between September 2022 and June 2023.
- Inventory Turnover Efficiency
- The inventory turnover ratio demonstrates three distinct phases. Initially, the ratio remained relatively stable between 1.73 and 1.81 from September 2020 through December 2021. A sustained downward trend followed, with the ratio falling from 1.75 in December 2021 to a low of 1.28 in December 2023, indicating a reduction in the speed at which inventory was cycled through the production and sales process. Since March 2024, the ratio has entered a stabilization and modest recovery phase, fluctuating between 1.29 and 1.49, suggesting an improvement in inventory management alignment relative to revenue costs.
The divergence between the rapid accumulation of inventory and the more moderate increase in costs of revenues explains the compression of the turnover ratio. The recent stabilization of the ratio since early 2024 suggests that the rate of inventory growth has begun to normalize in relation to the cost of goods sold.
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Receivables Turnover
KLA Corp., receivables turnover calculation (quarterly data)
| 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 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||||
| Revenues | 3,415,078) | 3,297,146) | 3,209,696) | 3,174,741) | 3,063,029) | 3,076,851) | 2,841,541) | 2,568,735) | 2,359,830) | 2,486,726) | 2,396,956) | 2,355,137) | 2,432,608) | 2,983,887) | 2,724,424) | 2,486,739) | 2,288,676) | 2,352,630) | 2,083,838) | 1,925,471) | 1,803,773) | 1,650,870) | 1,538,620) | |||||||
| Accounts receivable, net | 2,304,454) | 2,073,581) | 2,277,755) | 2,263,915) | 2,159,897) | 2,334,977) | 1,953,156) | 1,833,041) | 1,625,257) | 1,843,878) | 1,630,746) | 1,753,361) | 1,940,067) | 2,282,925) | 1,857,320) | 1,811,877) | 1,618,867) | 1,728,376) | 1,463,974) | 1,305,479) | 1,201,991) | 1,219,189) | 1,028,883) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Receivables turnover1 | 5.68 | 6.15 | 5.50 | 5.37 | 5.35 | 4.65 | 5.25 | 5.35 | 5.91 | 5.25 | 6.24 | 5.99 | 5.48 | 4.59 | 5.30 | 5.08 | 5.34 | 4.72 | 5.10 | 5.30 | 5.37 | 4.98 | 5.77 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | ||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | 6.21 | 5.49 | 5.16 | 5.79 | 5.10 | 4.16 | 3.36 | 4.05 | 4.53 | 4.22 | 4.37 | 5.07 | 5.71 | 5.72 | 5.26 | 5.33 | 5.13 | — | — | — | — | |||||||
| Analog Devices Inc. | — | — | 8.64 | 7.67 | 6.69 | 7.10 | 7.83 | 7.05 | 8.61 | 10.42 | 9.67 | 8.37 | 7.94 | 7.96 | 7.72 | 6.67 | 6.37 | 6.07 | 5.16 | 5.02 | 7.90 | 7.62 | 7.08 | |||||||
| Applied Materials Inc. | — | — | 5.67 | 5.47 | 4.96 | 4.54 | 4.61 | 5.19 | 5.40 | 5.55 | 5.64 | 5.13 | 5.08 | 4.83 | 4.88 | 4.25 | 5.08 | 5.09 | 5.49 | 4.66 | 5.66 | 5.87 | 5.98 | |||||||
| Broadcom Inc. | — | — | 8.07 | 8.94 | 9.23 | 10.25 | 11.00 | 11.68 | 10.04 | 7.75 | 7.82 | 11.36 | 12.17 | 11.56 | 10.64 | 11.22 | 11.70 | 9.73 | 11.23 | 13.25 | 11.87 | 10.54 | 9.78 | |||||||
| Intel Corp. | — | — | 13.22 | 13.77 | 16.69 | 22.49 | 17.31 | 15.27 | 17.38 | 17.60 | 16.62 | 15.94 | 18.59 | 18.04 | 14.66 | 15.26 | 9.31 | 12.11 | 10.98 | — | — | — | — | |||||||
| Lam Research Corp. | 5.25 | 5.89 | 5.39 | 5.46 | 5.31 | 4.90 | 5.31 | 5.92 | 6.46 | 5.29 | 5.63 | 6.17 | 5.78 | 4.68 | 3.94 | 3.99 | 4.52 | 4.86 | 4.64 | 4.83 | 4.72 | 4.11 | 4.77 | |||||||
| Micron Technology Inc. | — | 3.36 | 4.15 | 4.03 | 4.55 | 4.82 | 3.92 | 3.80 | 4.17 | 4.26 | 5.50 | 6.36 | 7.48 | 10.12 | 8.18 | 6.00 | 5.20 | 5.79 | 5.64 | 5.22 | 6.02 | 7.01 | 5.98 | |||||||
| NVIDIA Corp. | 5.60 | 5.94 | 6.71 | 5.66 | 6.40 | 6.81 | 6.45 | 6.09 | 5.40 | 4.63 | 6.34 | 7.05 | 5.82 | 5.59 | 5.43 | 5.79 | 6.14 | 6.11 | 6.37 | — | — | — | — | |||||||
| Texas Instruments Inc. | — | — | 8.21 | 9.01 | 8.37 | 8.62 | 8.63 | 9.10 | 8.44 | 9.41 | 10.05 | 9.80 | 9.17 | 9.62 | 10.39 | 10.57 | 9.90 | 8.95 | 10.56 | — | — | — | — | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 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), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Receivables turnover
= (RevenuesQ3 2026
+ RevenuesQ2 2026
+ RevenuesQ1 2026
+ RevenuesQ4 2025)
÷ Accounts receivable, net
= (3,415,078 + 3,297,146 + 3,209,696 + 3,174,741)
÷ 2,304,454 = 5.68
2 Click competitor name to see calculations.
The financial trajectory indicates a period of substantial revenue expansion accompanied by a corresponding increase in net accounts receivable. Despite the scaling of operations, the receivables turnover ratio has remained within a relatively stable range, suggesting that the company has maintained a consistent efficiency in collecting outstanding payments relative to its sales growth.
- Revenue and Receivables Scaling
- Revenues increased from 1,538,620 thousand US$ in September 2020 to 3,415,078 thousand US$ by March 2026. During this same interval, net accounts receivable rose from 1,028,883 thousand US$ to 2,304,454 thousand US$. The synchronized growth of these two metrics indicates that the expansion in top-line performance has been supported by a proportional increase in credit extended to customers.
- Receivables Turnover Volatility
- The turnover ratio exhibits periodic fluctuations, generally oscillating between a minimum of 4.59 in December 2022 and a maximum of 6.24 in September 2023. There is a observable recurring trend of ratio compression toward the end of the calendar year, specifically noted in December 2021, 2022, and 2024. These dips suggest seasonal variations in payment collection cycles or year-end billing concentrations.
- Collection Efficiency Trends
- A notable peak in collection efficiency occurred between March 2023 and September 2023, with the ratio climbing from 5.48 to 6.24. Although a subsequent decline to 4.65 was recorded in December 2024, the metric recovered strongly to reach 6.15 by December 2025. This pattern demonstrates a capacity to stabilize and improve the velocity of receivables conversion following periods of relative inefficiency.
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Payables Turnover
KLA Corp., payables turnover calculation (quarterly data)
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||||
| Costs of revenues | 1,327,672) | 1,271,210) | 1,243,070) | 1,207,286) | 1,175,689) | 1,221,461) | 1,147,431) | 1,010,551) | 993,885) | 976,746) | 946,891) | 962,949) | 1,005,346) | 1,208,786) | 1,041,226) | 978,564) | 892,091) | 908,162) | 813,624) | 772,241) | 709,629) | 669,733) | 620,562) | |||||||
| Accounts payable | 515,009) | 425,189) | 429,836) | 458,509) | 429,318) | 432,891) | 376,505) | 359,487) | 354,720) | 376,671) | 363,662) | 371,026) | 410,885) | 530,407) | 479,707) | 443,338) | 424,128) | 379,875) | 380,827) | 342,083) | 295,111) | 262,496) | 254,458) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Payables turnover1 | 9.80 | 11.52 | 11.28 | 10.36 | 10.61 | 10.10 | 10.97 | 10.93 | 10.94 | 10.33 | 11.34 | 11.37 | 10.30 | 7.77 | 7.96 | 8.10 | 7.98 | 8.43 | 7.79 | 8.10 | 8.88 | 9.53 | 9.69 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | ||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | 6.21 | 5.97 | 4.76 | 5.03 | 6.28 | 5.30 | 4.19 | 5.75 | 6.54 | 5.05 | 4.73 | 3.98 | 4.50 | 4.40 | 4.46 | 5.97 | 5.78 | — | — | — | — | |||||||
| Analog Devices Inc. | — | — | 7.96 | 7.81 | 8.43 | 9.43 | 10.84 | 8.30 | 9.63 | 9.94 | 10.91 | 8.98 | 7.62 | 7.76 | 8.09 | 7.70 | 8.43 | 9.01 | 8.17 | 6.30 | 7.82 | 7.25 | 8.66 | |||||||
| Broadcom Inc. | — | — | 10.41 | 13.20 | 13.88 | 14.92 | 10.10 | 11.47 | 9.62 | 10.34 | 8.56 | 9.20 | 11.34 | 13.62 | 12.31 | 11.13 | 15.27 | 9.98 | 9.80 | 9.77 | 10.91 | 12.63 | 11.67 | |||||||
| Intel Corp. | — | — | 4.85 | 3.49 | 3.35 | 3.49 | 3.33 | 2.85 | 3.20 | 3.36 | 3.78 | 3.79 | 3.77 | 3.81 | 4.30 | 3.77 | 5.21 | 4.63 | 4.92 | — | — | — | — | |||||||
| Lam Research Corp. | 10.12 | 10.05 | 11.50 | 11.07 | 10.44 | 10.33 | 11.63 | 12.79 | 14.24 | 15.69 | 16.55 | 20.50 | 17.34 | 11.33 | 8.52 | 9.25 | 8.99 | 9.31 | 10.12 | 9.43 | 9.33 | 8.82 | 8.94 | |||||||
| NVIDIA Corp. | 6.50 | 5.50 | 6.06 | 5.17 | 5.11 | 6.29 | 7.26 | 6.16 | 5.68 | 5.99 | 9.91 | 9.74 | 8.08 | 4.86 | 5.13 | 5.29 | 5.19 | 5.38 | 5.94 | — | — | — | — | |||||||
| Qualcomm Inc. | — | 6.76 | 7.44 | 7.07 | 8.20 | 7.56 | 6.94 | 6.60 | 6.37 | 6.95 | 7.52 | 8.30 | 9.67 | 12.50 | 7.17 | 4.91 | 4.72 | 4.37 | 4.28 | 5.19 | 4.83 | 4.62 | 4.38 | |||||||
| Texas Instruments Inc. | — | — | 12.33 | 10.05 | 9.42 | 7.94 | 7.78 | 7.98 | 8.19 | 7.62 | 11.89 | 8.10 | 9.03 | 6.87 | 6.63 | 7.35 | 7.89 | 8.46 | 9.27 | — | — | — | — | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 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), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Payables turnover
= (Costs of revenuesQ3 2026
+ Costs of revenuesQ2 2026
+ Costs of revenuesQ1 2026
+ Costs of revenuesQ4 2025)
÷ Accounts payable
= (1,327,672 + 1,271,210 + 1,243,070 + 1,207,286)
÷ 515,009 = 9.80
2 Click competitor name to see calculations.
An analysis of the payables turnover ratio reveals three distinct phases of operational activity regarding supplier payment efficiency and credit management between September 2020 and March 2026.
- Initial Ratio Compression (September 2020 – December 2022)
- A consistent downward trend in the payables turnover ratio is observed, declining from 9.69 to a low of 7.77. This period is characterized by a substantial increase in accounts payable, which grew from $254 million to over $530 million. The decline in the turnover ratio suggests a strategic extension of payment terms or an increase in the average time taken to settle obligations with suppliers as the costs of revenues climbed steadily during this window.
- Payment Acceleration (March 2023 – September 2024)
- A sharp reversal in the trend occurred in March 2023, where the turnover ratio increased abruptly to 10.30, eventually peaking at 11.37 in June 2023. This shift coincides with a significant reduction in accounts payable, which dropped from $530 million in December 2022 to $410 million in March 2023. The resulting increase in the turnover ratio indicates a more aggressive settlement of supplier debts or a shift in vendor credit terms, leading to a faster payment velocity.
- Stabilization and Recent Variance (December 2024 – March 2026)
- The turnover ratio remained relatively elevated and stable through late 2024 and 2025, generally fluctuating between 10.10 and 11.52. While the costs of revenues continued an upward trajectory toward $1.3 billion, accounts payable remained comparatively controlled. However, a notable increase in accounts payable to $515 million by March 2026 led to a decrease in the ratio to 9.80, signaling a potential return toward previous payment patterns.
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Working Capital Turnover
KLA Corp., working capital turnover calculation (quarterly data)
| Mar 31, 2026 | Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in thousands) | ||||||||||||||||||||||||||||||
| Current assets | 11,350,979) | 11,263,805) | 10,901,160) | 10,698,789) | 9,945,019) | 9,772,604) | 10,228,439) | 10,031,144) | 9,528,082) | 8,748,721) | 8,430,791) | 8,372,032) | 8,018,750) | 8,132,582) | 7,643,939) | 7,168,911) | 6,582,717) | 6,701,475) | 6,144,672) | 5,696,248) | 5,405,165) | 5,222,954) | 4,754,699) | |||||||
| Less: Current liabilities | 3,751,555) | 3,982,472) | 4,049,970) | 4,085,795) | 3,909,929) | 4,138,258) | 4,798,214) | 4,660,774) | 4,458,538) | 4,570,997) | 3,817,743) | 3,742,842) | 3,418,521) | 3,482,501) | 3,139,364) | 2,871,083) | 2,828,983) | 2,776,098) | 2,523,010) | 2,103,227) | 2,029,466) | 2,020,112) | 1,748,828) | |||||||
| Working capital | 7,599,424) | 7,281,333) | 6,851,190) | 6,612,994) | 6,035,090) | 5,634,346) | 5,430,225) | 5,370,370) | 5,069,544) | 4,177,724) | 4,613,048) | 4,629,190) | 4,600,229) | 4,650,081) | 4,504,575) | 4,297,828) | 3,753,734) | 3,925,377) | 3,621,662) | 3,593,021) | 3,375,699) | 3,202,842) | 3,005,871) | |||||||
| Revenues | 3,415,078) | 3,297,146) | 3,209,696) | 3,174,741) | 3,063,029) | 3,076,851) | 2,841,541) | 2,568,735) | 2,359,830) | 2,486,726) | 2,396,956) | 2,355,137) | 2,432,608) | 2,983,887) | 2,724,424) | 2,486,739) | 2,288,676) | 2,352,630) | 2,083,838) | 1,925,471) | 1,803,773) | 1,650,870) | 1,538,620) | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Working capital turnover1 | 1.72 | 1.75 | 1.83 | 1.84 | 1.91 | 1.93 | 1.89 | 1.83 | 1.89 | 2.31 | 2.20 | 2.27 | 2.31 | 2.25 | 2.19 | 2.14 | 2.30 | 2.08 | 2.06 | 1.93 | 1.91 | 1.90 | 1.97 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | ||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | 2.07 | 1.98 | 2.09 | 2.02 | 2.00 | 2.19 | 2.16 | 2.07 | 2.15 | 2.25 | 2.44 | 2.45 | 2.54 | 2.73 | 2.95 | 2.72 | 2.42 | — | — | — | — | |||||||
| Analog Devices Inc. | — | — | 3.59 | 2.85 | 2.63 | 3.39 | 3.38 | 3.78 | 4.38 | 5.52 | 7.75 | 10.40 | 6.41 | 6.13 | 4.61 | 4.81 | 4.94 | 4.23 | 3.50 | 2.81 | 21.89 | 49.24 | 6.18 | |||||||
| Applied Materials Inc. | — | — | 2.12 | 2.20 | 2.42 | 2.40 | 2.13 | 2.13 | 2.00 | 2.14 | 2.19 | 2.25 | 2.49 | 2.69 | 2.77 | 3.02 | 2.93 | 2.89 | 2.56 | 2.36 | 2.14 | 1.95 | 1.86 | |||||||
| Broadcom Inc. | — | — | 4.49 | 4.89 | 7.23 | 36.01 | 681.61 | 17.80 | 64.48 | 8.31 | 5.70 | 2.66 | 3.23 | 3.38 | 3.03 | 2.90 | 3.58 | 3.80 | 3.15 | 2.66 | 2.90 | 3.27 | 3.25 | |||||||
| Intel Corp. | — | — | 1.52 | 1.65 | 2.75 | 6.31 | 5.33 | 4.55 | 4.94 | 2.93 | 3.59 | 3.56 | 3.48 | 3.34 | 2.70 | 3.45 | 3.24 | 3.14 | 2.34 | — | — | — | — | |||||||
| Lam Research Corp. | 2.69 | 2.63 | 2.42 | 2.32 | 2.15 | 1.96 | 1.91 | 1.74 | 1.77 | 1.63 | 1.81 | 1.93 | 2.03 | 2.08 | 2.10 | 2.23 | 2.18 | 2.01 | 2.04 | 1.80 | 1.72 | 1.51 | 1.41 | |||||||
| Micron Technology Inc. | — | 2.14 | 2.40 | 2.15 | 1.90 | 1.86 | 1.88 | 1.66 | 1.30 | 1.07 | 1.07 | 0.94 | 1.09 | 1.39 | 1.66 | 2.16 | 2.06 | 2.14 | 2.17 | 2.05 | 1.95 | 1.98 | 2.04 | |||||||
| NVIDIA Corp. | 2.07 | 2.12 | 2.34 | 2.10 | 2.21 | 2.11 | 2.07 | 1.81 | 1.90 | 1.77 | 1.47 | 1.63 | 1.75 | 1.50 | 1.23 | 1.10 | 1.09 | 1.03 | 1.36 | — | — | — | — | |||||||
| Qualcomm Inc. | — | 3.33 | 3.03 | 2.67 | 2.53 | 2.56 | 2.53 | 2.65 | 2.75 | 2.41 | 2.54 | 2.79 | 3.21 | 3.66 | 3.90 | 4.99 | 5.88 | 4.80 | 4.53 | 4.13 | 3.96 | 3.19 | 2.53 | |||||||
| Texas Instruments Inc. | — | — | 1.72 | 1.67 | 1.60 | 1.39 | 1.51 | 1.37 | 1.29 | 1.22 | 1.21 | 1.48 | 1.46 | 1.47 | 1.61 | 1.81 | 1.84 | 1.87 | 1.65 | — | — | — | — | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 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), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Working capital turnover
= (RevenuesQ3 2026
+ RevenuesQ2 2026
+ RevenuesQ1 2026
+ RevenuesQ4 2025)
÷ Working capital
= (3,415,078 + 3,297,146 + 3,209,696 + 3,174,741)
÷ 7,599,424 = 1.72
2 Click competitor name to see calculations.
An examination of the financial metrics from September 2020 through March 2026 reveals a period of significant expansion in both scale and liquidity, accompanied by a shifting trend in operational efficiency regarding working capital utilization.
- Working Capital Expansion
- A consistent upward trajectory is observed in working capital, which increased from approximately 3.01 billion USD in September 2020 to 7.60 billion USD by March 2026. This growth represents more than a doubling of the company's short-term net assets over the analyzed period. While the increase was steady between 2020 and 2023, a more pronounced acceleration in working capital accumulation occurred from March 2024 onward, suggesting a strategic increase in liquidity or a build-up in short-term operational assets.
- Revenue Trends
- Revenues exhibited general growth, rising from 1.54 billion USD in September 2020 to 3.42 billion USD in March 2026. A period of peak growth was observed through December 2022, followed by a cyclical plateau and slight contraction throughout 2023. Recovery began in early 2024, with revenues maintaining a steady climb through the end of the period. Despite the overall growth, the rate of revenue increase did not keep pace with the rate of working capital growth in the latter half of the timeline.
- Working Capital Turnover Efficiency
- The working capital turnover ratio demonstrates a distinct bell-shaped trend. From September 2020 to March 2023, efficiency improved, with the ratio rising from 1.97 to a peak of 2.31. This indicated an increasing ability to generate sales relative to the investment in working capital. However, following December 2023, a sustained downward trend is evident, with the ratio declining to 1.72 by March 2026. This deterioration suggests that working capital is growing faster than the revenue it supports, resulting in lower operational efficiency in the most recent quarters.
In summary, while the company has successfully scaled its top-line revenue and expanded its liquidity position, the declining turnover ratio indicates a potential inefficiency in managing short-term assets and liabilities relative to sales volume in the final years of the period.
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Average Inventory Processing Period
KLA Corp., average inventory processing period calculation (quarterly data)
| 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 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Inventory turnover | 1.47 | 1.49 | 1.47 | 1.48 | 1.44 | 1.44 | 1.33 | 1.29 | 1.29 | 1.28 | 1.37 | 1.47 | 1.54 | 1.63 | 1.59 | 1.67 | 1.71 | 1.75 | 1.73 | 1.76 | 1.81 | 1.76 | 1.77 | |||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||
| Average inventory processing period1 | 248 | 245 | 248 | 247 | 253 | 254 | 275 | 282 | 283 | 285 | 266 | 249 | 237 | 225 | 230 | 218 | 214 | 208 | 211 | 207 | 202 | 207 | 206 | |||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | ||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | 158 | 165 | 161 | 157 | 169 | 160 | 156 | 149 | 140 | 130 | 133 | 135 | 120 | 106 | 101 | 86 | 91 | — | — | — | — | |||||||
| Analog Devices Inc. | — | — | 148 | 142 | 141 | 137 | 135 | 131 | 127 | 128 | 131 | 135 | 140 | 136 | 129 | 114 | 96 | 97 | 100 | 157 | 115 | 116 | 115 | |||||||
| Applied Materials Inc. | — | — | 151 | 148 | 144 | 142 | 139 | 139 | 144 | 148 | 147 | 148 | 149 | 152 | 157 | 157 | 151 | 140 | 131 | 129 | 130 | 138 | 143 | |||||||
| Broadcom Inc. | — | — | 49 | 40 | 40 | 38 | 36 | 34 | 41 | 45 | 55 | 62 | 60 | 61 | 61 | 63 | 62 | 57 | 53 | 45 | 40 | 35 | 33 | |||||||
| Intel Corp. | — | — | 131 | 123 | 122 | 111 | 124 | 125 | 124 | 127 | 130 | 125 | 128 | 131 | 136 | 133 | 126 | 121 | 123 | — | — | — | — | |||||||
| Lam Research Corp. | 135 | 143 | 151 | 166 | 183 | 187 | 188 | 196 | 208 | 206 | 198 | 182 | 171 | 169 | 163 | 155 | 140 | 126 | 124 | 126 | 131 | 135 | 132 | |||||||
| Micron Technology Inc. | — | 125 | 129 | 136 | 150 | 161 | 158 | 166 | 164 | 168 | 163 | 181 | 182 | 177 | 192 | 144 | 119 | 116 | 101 | 95 | 98 | 106 | 133 | |||||||
| NVIDIA Corp. | 129 | 110 | 93 | 113 | 102 | 105 | 109 | 116 | 129 | 136 | 149 | 162 | 135 | 121 | 112 | 101 | 94 | 97 | 100 | — | — | — | — | |||||||
| Qualcomm Inc. | — | 134 | 121 | 121 | 121 | 121 | 128 | 137 | 133 | 138 | 141 | 148 | 144 | 140 | 138 | 124 | 112 | 102 | 93 | 83 | 87 | 83 | 88 | |||||||
| Texas Instruments Inc. | — | — | 218 | 231 | 240 | 251 | 254 | 252 | 241 | 229 | 228 | 225 | 222 | 215 | 190 | 161 | 143 | 133 | 127 | — | — | — | — | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 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), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 1.47 = 248
2 Click competitor name to see calculations.
Analysis of short-term operating activity reveals a distinct cyclical pattern in inventory management efficiency between September 2020 and March 2026. The period is characterized by an initial phase of stability, followed by a significant decline in turnover efficiency peaking in late 2023, and a subsequent gradual recovery through early 2026.
- Inventory Turnover Trends
- A consistent downward trajectory in the inventory turnover ratio is observed from September 2020, where the ratio stood at 1.77, reaching a minimum of 1.28 by December 2023. This decline indicates a slowing rate of inventory replacement and a reduction in the frequency with which stock was cycled. Following the December 2023 trough, the ratio demonstrated a steady recovery, ascending to 1.47 by March 2026, which suggests an improvement in operational efficiency and asset utilization.
- Average Inventory Processing Period
- The average inventory processing period exhibits an inverse correlation with the turnover ratios. The processing duration remained relatively stable, fluctuating between 202 and 211 days throughout 2020 and 2021. A progressive increase followed, with the period expanding to 230 days by September 2022 and peaking at 285 days in December 2023. This expansion represents a substantial increase in the time required to convert inventory into sales. From January 2024 onward, a contraction trend is evident, with the processing period reducing to 248 days by March 2026.
- Operational Efficiency Insights
- The data suggests a period of operational decelerations or strategic inventory accumulation between 2022 and 2023, as evidenced by the simultaneous drop in turnover and the rise in processing days. The subsequent reversal of these trends from 2024 through 2026 indicates a correction in inventory management practices or a recovery in demand, resulting in a more streamlined processing cycle, although efficiency levels have not yet returned to the 2020-2021 baseline.
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Average Receivable Collection Period
KLA Corp., average receivable collection period calculation (quarterly data)
| 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 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Receivables turnover | 5.68 | 6.15 | 5.50 | 5.37 | 5.35 | 4.65 | 5.25 | 5.35 | 5.91 | 5.25 | 6.24 | 5.99 | 5.48 | 4.59 | 5.30 | 5.08 | 5.34 | 4.72 | 5.10 | 5.30 | 5.37 | 4.98 | 5.77 | |||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||
| Average receivable collection period1 | 64 | 59 | 66 | 68 | 68 | 79 | 70 | 68 | 62 | 70 | 59 | 61 | 67 | 79 | 69 | 72 | 68 | 77 | 72 | 69 | 68 | 73 | 63 | |||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | ||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | 59 | 67 | 71 | 63 | 72 | 88 | 109 | 90 | 81 | 87 | 83 | 72 | 64 | 64 | 69 | 69 | 71 | — | — | — | — | |||||||
| Analog Devices Inc. | — | — | 42 | 48 | 55 | 51 | 47 | 52 | 42 | 35 | 38 | 44 | 46 | 46 | 47 | 55 | 57 | 60 | 71 | 73 | 46 | 48 | 52 | |||||||
| Applied Materials Inc. | — | — | 64 | 67 | 74 | 80 | 79 | 70 | 68 | 66 | 65 | 71 | 72 | 76 | 75 | 86 | 72 | 72 | 67 | 78 | 65 | 62 | 61 | |||||||
| Broadcom Inc. | — | — | 45 | 41 | 40 | 36 | 33 | 31 | 36 | 47 | 47 | 32 | 30 | 32 | 34 | 33 | 31 | 38 | 33 | 28 | 31 | 35 | 37 | |||||||
| Intel Corp. | — | — | 28 | 27 | 22 | 16 | 21 | 24 | 21 | 21 | 22 | 23 | 20 | 20 | 25 | 24 | 39 | 30 | 33 | — | — | — | — | |||||||
| Lam Research Corp. | 70 | 62 | 68 | 67 | 69 | 74 | 69 | 62 | 56 | 69 | 65 | 59 | 63 | 78 | 93 | 91 | 81 | 75 | 79 | 76 | 77 | 89 | 77 | |||||||
| Micron Technology Inc. | — | 109 | 88 | 90 | 80 | 76 | 93 | 96 | 88 | 86 | 66 | 57 | 49 | 36 | 45 | 61 | 70 | 63 | 65 | 70 | 61 | 52 | 61 | |||||||
| NVIDIA Corp. | 65 | 61 | 54 | 65 | 57 | 54 | 57 | 60 | 68 | 79 | 58 | 52 | 63 | 65 | 67 | 63 | 59 | 60 | 57 | — | — | — | — | |||||||
| Texas Instruments Inc. | — | — | 44 | 41 | 44 | 42 | 42 | 40 | 43 | 39 | 36 | 37 | 40 | 38 | 35 | 35 | 37 | 41 | 35 | — | — | — | — | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 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), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.68 = 64
2 Click competitor name to see calculations.
The analysis of operating activity ratios between September 30, 2020, and March 31, 2026, reveals a cyclical pattern in the efficiency of receivables management, characterized by consistent fluctuations in both turnover rates and the average collection period.
- Receivables Turnover Performance
- The receivables turnover ratio exhibits a fluctuating trend, oscillating between a minimum of 4.59 in December 2022 and a maximum of 6.24 in September 2023. While the ratio demonstrates periodic volatility, it maintains a general baseline above 4.50, indicating a relatively stable capacity to convert accounts receivable into cash over the observed timeframe.
- Average Receivable Collection Period
- The collection period varies between a minimum of 59 days and a maximum of 79 days. A notable trend of lengthening collection times is observed during the December quarters, specifically reaching the 79-day ceiling in both December 2022 and December 2024. The most efficient collection periods, decreasing to 59 days, occurred in June 2023 and December 2025.
- Correlation and Cyclicality
- A consistent inverse relationship between the turnover ratio and the collection period is maintained. Recurring spikes in the collection period toward the end of the calendar year suggest seasonal variances in customer payment behavior or internal billing cycles. Despite these periodic extensions, the collection period frequently returns to a normalized range of 60 to 70 days, reflecting a stable long-term credit management strategy.
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Operating Cycle
KLA Corp., operating cycle calculation (quarterly data)
No. days
| 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 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Average inventory processing period | 248 | 245 | 248 | 247 | 253 | 254 | 275 | 282 | 283 | 285 | 266 | 249 | 237 | 225 | 230 | 218 | 214 | 208 | 211 | 207 | 202 | 207 | 206 | |||||||
| Average receivable collection period | 64 | 59 | 66 | 68 | 68 | 79 | 70 | 68 | 62 | 70 | 59 | 61 | 67 | 79 | 69 | 72 | 68 | 77 | 72 | 69 | 68 | 73 | 63 | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Operating cycle1 | 312 | 304 | 314 | 315 | 321 | 333 | 345 | 350 | 345 | 355 | 325 | 310 | 304 | 304 | 299 | 290 | 282 | 285 | 283 | 276 | 270 | 280 | 269 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Operating Cycle, Competitors2 | ||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | 217 | 232 | 232 | 220 | 241 | 248 | 265 | 239 | 221 | 217 | 216 | 207 | 184 | 170 | 170 | 155 | 162 | — | — | — | — | |||||||
| Analog Devices Inc. | — | — | 190 | 190 | 196 | 188 | 182 | 183 | 169 | 163 | 169 | 179 | 186 | 182 | 176 | 169 | 153 | 157 | 171 | 230 | 161 | 164 | 167 | |||||||
| Applied Materials Inc. | — | — | 215 | 215 | 218 | 222 | 218 | 209 | 212 | 214 | 212 | 219 | 221 | 228 | 232 | 243 | 223 | 212 | 198 | 207 | 195 | 200 | 204 | |||||||
| Broadcom Inc. | — | — | 94 | 81 | 80 | 74 | 69 | 65 | 77 | 92 | 102 | 94 | 90 | 93 | 95 | 96 | 93 | 95 | 86 | 73 | 71 | 70 | 70 | |||||||
| Intel Corp. | — | — | 159 | 150 | 144 | 127 | 145 | 149 | 145 | 148 | 152 | 148 | 148 | 151 | 161 | 157 | 165 | 151 | 156 | — | — | — | — | |||||||
| Lam Research Corp. | 205 | 205 | 219 | 233 | 252 | 261 | 257 | 258 | 264 | 275 | 263 | 241 | 234 | 247 | 256 | 246 | 221 | 201 | 203 | 202 | 208 | 224 | 209 | |||||||
| Micron Technology Inc. | — | 234 | 217 | 226 | 230 | 237 | 251 | 262 | 252 | 254 | 229 | 238 | 231 | 213 | 237 | 205 | 189 | 179 | 166 | 165 | 159 | 158 | 194 | |||||||
| NVIDIA Corp. | 194 | 171 | 147 | 178 | 159 | 159 | 166 | 176 | 197 | 215 | 207 | 214 | 198 | 186 | 179 | 164 | 153 | 157 | 157 | — | — | — | — | |||||||
| Texas Instruments Inc. | — | — | 262 | 272 | 284 | 293 | 296 | 292 | 284 | 268 | 264 | 262 | 262 | 253 | 225 | 196 | 180 | 174 | 162 | — | — | — | — | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 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), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 248 + 64 = 312
2 Click competitor name to see calculations.
The operating cycle demonstrates a general expansion from September 2020 through December 2023, followed by a period of gradual moderation. This movement indicates a lengthening of the time required to convert investment in inventory back into cash, primarily driven by changes in inventory management rather than receivable collection efficiency.
- Average Inventory Processing Period
- A sustained upward trend is observed from September 2020, where the period stood at 206 days, reaching a peak of 285 days in December 2023. This prolonged duration suggests a significant increase in the time inventory remained in the processing phase. From January 2024 onward, a downward correction occurred, with the period gradually decreasing to 248 days by March 2026.
- Average Receivable Collection Period
- The collection period exhibits relative stability characterized by short-term fluctuations. Values oscillate between a minimum of 59 days and a maximum of 79 days throughout the analyzed timeframe. The absence of a clear long-term upward or downward trend suggests that credit policies and customer payment behaviors remained consistent.
- Operating Cycle
- The total operating cycle increased from 269 days in September 2020 to a maximum of 355 days in December 2023. The subsequent contraction to 312 days by March 2026 closely tracks the fluctuations in the inventory processing period. The correlation indicates that inventory turnover is the primary lever affecting the company's short-term operational liquidity and working capital cycle.
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Average Payables Payment Period
KLA Corp., average payables payment period calculation (quarterly data)
| 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 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Payables turnover | 9.80 | 11.52 | 11.28 | 10.36 | 10.61 | 10.10 | 10.97 | 10.93 | 10.94 | 10.33 | 11.34 | 11.37 | 10.30 | 7.77 | 7.96 | 8.10 | 7.98 | 8.43 | 7.79 | 8.10 | 8.88 | 9.53 | 9.69 | |||||||
| Short-term Activity Ratio (no. days) | ||||||||||||||||||||||||||||||
| Average payables payment period1 | 37 | 32 | 32 | 35 | 34 | 36 | 33 | 33 | 33 | 35 | 32 | 32 | 35 | 47 | 46 | 45 | 46 | 43 | 47 | 45 | 41 | 38 | 38 | |||||||
| Benchmarks (no. days) | ||||||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | ||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | 59 | 61 | 77 | 73 | 58 | 69 | 87 | 63 | 56 | 72 | 77 | 92 | 81 | 83 | 82 | 61 | 63 | — | — | — | — | |||||||
| Analog Devices Inc. | — | — | 46 | 47 | 43 | 39 | 34 | 44 | 38 | 37 | 33 | 41 | 48 | 47 | 45 | 47 | 43 | 41 | 45 | 58 | 47 | 50 | 42 | |||||||
| Broadcom Inc. | — | — | 35 | 28 | 26 | 24 | 36 | 32 | 38 | 35 | 43 | 40 | 32 | 27 | 30 | 33 | 24 | 37 | 37 | 37 | 33 | 29 | 31 | |||||||
| Intel Corp. | — | — | 75 | 105 | 109 | 104 | 110 | 128 | 114 | 109 | 97 | 96 | 97 | 96 | 85 | 97 | 70 | 79 | 74 | — | — | — | — | |||||||
| Lam Research Corp. | 36 | 36 | 32 | 33 | 35 | 35 | 31 | 29 | 26 | 23 | 22 | 18 | 21 | 32 | 43 | 39 | 41 | 39 | 36 | 39 | 39 | 41 | 41 | |||||||
| NVIDIA Corp. | 56 | 66 | 60 | 71 | 71 | 58 | 50 | 59 | 64 | 61 | 37 | 37 | 45 | 75 | 71 | 69 | 70 | 68 | 61 | — | — | — | — | |||||||
| Qualcomm Inc. | — | 54 | 49 | 52 | 44 | 48 | 53 | 55 | 57 | 52 | 49 | 44 | 38 | 29 | 51 | 74 | 77 | 83 | 85 | 70 | 76 | 79 | 83 | |||||||
| Texas Instruments Inc. | — | — | 30 | 36 | 39 | 46 | 47 | 46 | 45 | 48 | 31 | 45 | 40 | 53 | 55 | 50 | 46 | 43 | 39 | — | — | — | — | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 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), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 9.80 = 37
2 Click competitor name to see calculations.
An analysis of the operational activity ratios reveals a distinct shift in the management of accounts payable over the observed period. The company transitioned from a period of extending payment terms to a significantly more accelerated payment cycle beginning in early 2023.
- Payables Turnover Trends
- Between September 2020 and December 2022, the payables turnover ratio exhibited a general downward trajectory, declining from 9.69 to 7.77. This trend reversed sharply in March 2023, when the ratio climbed to 10.30. From that point through December 2025, the ratio remained consistently higher, peaking at 11.52 before moderating to 9.80 by March 2026.
- Average Payables Payment Period Dynamics
- The average time taken to settle obligations grew steadily from 38 days in September 2020 to a peak of 47 days in December 2022. A significant contraction occurred in the first quarter of 2023, where the payment period dropped to 35 days. For the subsequent two years, the period remained relatively stable, oscillating within a narrow range of 32 to 36 days, with a slight uptick to 37 days recorded in March 2026.
The inverse correlation between the turnover ratio and the payment period underscores a strategic pivot in working capital management. The shift from a peak 47-day cycle to a stabilized period of approximately 32 to 35 days indicates a move toward faster supplier settlements. This acceleration may suggest an increase in liquidity or a strategic decision to optimize supplier relationships and potentially leverage early payment incentives.
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Cash Conversion Cycle
KLA Corp., cash conversion cycle calculation (quarterly data)
No. days
| 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 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | ||||||||||||||||||||||||||||||
| Average inventory processing period | 248 | 245 | 248 | 247 | 253 | 254 | 275 | 282 | 283 | 285 | 266 | 249 | 237 | 225 | 230 | 218 | 214 | 208 | 211 | 207 | 202 | 207 | 206 | |||||||
| Average receivable collection period | 64 | 59 | 66 | 68 | 68 | 79 | 70 | 68 | 62 | 70 | 59 | 61 | 67 | 79 | 69 | 72 | 68 | 77 | 72 | 69 | 68 | 73 | 63 | |||||||
| Average payables payment period | 37 | 32 | 32 | 35 | 34 | 36 | 33 | 33 | 33 | 35 | 32 | 32 | 35 | 47 | 46 | 45 | 46 | 43 | 47 | 45 | 41 | 38 | 38 | |||||||
| Short-term Activity Ratio | ||||||||||||||||||||||||||||||
| Cash conversion cycle1 | 275 | 272 | 282 | 280 | 287 | 297 | 312 | 317 | 312 | 320 | 293 | 278 | 269 | 257 | 253 | 245 | 236 | 242 | 236 | 231 | 229 | 242 | 231 | |||||||
| Benchmarks | ||||||||||||||||||||||||||||||
| Cash Conversion Cycle, Competitors2 | ||||||||||||||||||||||||||||||
| Advanced Micro Devices Inc. | — | — | 158 | 171 | 155 | 147 | 183 | 179 | 178 | 176 | 165 | 145 | 139 | 115 | 103 | 87 | 88 | 94 | 99 | — | — | — | — | |||||||
| Analog Devices Inc. | — | — | 144 | 143 | 153 | 149 | 148 | 139 | 131 | 126 | 136 | 138 | 138 | 135 | 131 | 122 | 110 | 116 | 126 | 172 | 114 | 114 | 125 | |||||||
| Broadcom Inc. | — | — | 59 | 53 | 54 | 50 | 33 | 33 | 39 | 57 | 59 | 54 | 58 | 66 | 65 | 63 | 69 | 58 | 49 | 36 | 38 | 41 | 39 | |||||||
| Intel Corp. | — | — | 84 | 45 | 35 | 23 | 35 | 21 | 31 | 39 | 55 | 52 | 51 | 55 | 76 | 60 | 95 | 72 | 82 | — | — | — | — | |||||||
| Lam Research Corp. | 169 | 169 | 187 | 200 | 217 | 226 | 226 | 229 | 238 | 252 | 241 | 223 | 213 | 215 | 213 | 207 | 180 | 162 | 167 | 163 | 169 | 183 | 168 | |||||||
| NVIDIA Corp. | 138 | 105 | 87 | 107 | 88 | 101 | 116 | 117 | 133 | 154 | 170 | 177 | 153 | 111 | 108 | 95 | 83 | 89 | 96 | — | — | — | — | |||||||
| Texas Instruments Inc. | — | — | 232 | 236 | 245 | 247 | 249 | 246 | 239 | 220 | 233 | 217 | 222 | 200 | 170 | 146 | 134 | 131 | 123 | — | — | — | — | |||||||
Based on: 10-Q (reporting date: 2026-03-31), 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), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).
1 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 248 + 64 – 37 = 275
2 Click competitor name to see calculations.
The cash conversion cycle exhibited a significant upward trajectory from September 2020 through December 2023, peaking at 320 days before entering a period of gradual reduction to 275 days by March 2026. This expansion reflects an overall increase in the time required to convert investments in inventory and other resources into cash flows from sales.
- Average Inventory Processing Period
- This metric served as the primary driver of the overall cycle expansion. A steady increase is observed from 206 days in September 2020 to a peak of 285 days in September 2023. Following this peak, a corrective trend emerged, with the period declining to 248 days by March 2026, although the level remains elevated compared to the initial 2020 baseline.
- Average Receivable Collection Period
- Collection times remained relatively stable throughout the analyzed period, fluctuating within a range of 59 to 79 days. No long-term secular trend is evident in this metric, as the period concluded at 64 days in March 2026, which is consistent with the starting value of 63 days observed in September 2020.
- Average Payables Payment Period
- A structural shift in payment behavior is observable starting in early 2023. After maintaining a range between 38 and 47 days from 2020 through 2022, the period declined sharply to 32 days by June 2023. This acceleration in payments to suppliers acted as a secondary catalyst in extending the cash conversion cycle during the 2023 peak.
The maximum extension of the cash conversion cycle in late 2023 was the result of the simultaneous impact of increased inventory holding times and a compressed payables payment window. The subsequent moderation of the cycle through 2024 and 2025 is primarily attributable to the reduction in inventory processing duration, while receivable collection and payables payment periods remained relatively constant.
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