Stock Analysis on Net

KLA Corp. (NASDAQ:KLAC)

Analysis of Short-term (Operating) Activity Ratios 
Quarterly Data

Microsoft Excel

Short-term Activity Ratios (Summary)

KLA Corp., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
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 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019
Turnover Ratios
Inventory turnover 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 1.87
Receivables turnover 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 5.24
Payables turnover 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 9.27
Working capital turnover 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 1.92
Average No. Days
Average inventory processing period 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211 207 202 207 206 195
Add: Average receivable collection period 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72 69 68 73 63 70
Operating cycle 315 321 333 345 350 345 355 325 310 304 304 299 290 282 285 283 276 270 280 269 265
Less: Average payables payment period 35 34 36 33 33 33 35 32 32 35 47 46 45 46 43 47 45 41 38 38 39
Cash conversion cycle 280 287 297 312 317 312 320 293 278 269 257 253 245 236 242 236 231 229 242 231 226

Based on: 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), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30).


The financial ratios and related metrics reveal several noteworthy trends over the observed periods, providing insights into operational efficiency and working capital management.

Inventory Turnover
The inventory turnover ratio demonstrates a gradual declining trend from approximately 1.87 to a low near 1.28, followed by a modest recovery reaching about 1.48. This suggests a slower rate of inventory movement over time, potentially indicating increasing inventory levels or slower sales relative to inventory.
Receivables Turnover
The receivables turnover ratio fluctuates without a consistent trend, generally oscillating between values in the mid-4 to mid-6 range. These fluctuations indicate varying effectiveness in credit and collection policies, with periodic improvements and setbacks in how quickly receivables convert into cash.
Payables Turnover
The payables turnover ratio initially declines from around 9.69 to a low near 7.77, then rises substantially, peaking above 11.37 before moderating slightly towards the end of the period. This pattern implies changing payment practices, initially slower payments transitioning to faster payables turnover, enhancing supplier relations or taking advantage of early payment benefits.
Working Capital Turnover
The working capital turnover ratio generally increases from near 1.92 to a peak above 2.31, before decreasing again towards approximately 1.84. This suggests periods of improved efficiency in generating sales from working capital followed by slight deterioration.
Average Inventory Processing Period
Inventory days steadily increase from about 195 days to a peak of 285 days, followed by a gradual decrease to around 247 days. The initial rise suggests longer holding periods for inventory, while the later reduction may indicate efforts to accelerate inventory turnover.
Average Receivable Collection Period
Receivable collection days show notable variability, ranging roughly between 59 and 79 days. Shorter collection periods around 59–62 days indicate improved cash inflows, whereas occasional increases to near 79 days reflect slower collection and potential credit risk concerns.
Operating Cycle
The operating cycle lengthens significantly from approximately 265 to over 355 days, later reducing to around 315 days. This lengthening initially indicates slower conversion of inventory and receivables into cash, with a later improvement in operational efficiency as the cycle shortens.
Average Payables Payment Period
Payables payment days increased initially from 39 to about 47 days, then dropped to the low 30s before stabilizing around 34–36 days. Initially elongating payment terms improve cash retention, but subsequent reductions suggest a strategic shift to quicker payments.
Cash Conversion Cycle
The cash conversion cycle follows the lengthening trend seen in the operating cycle, rising from about 226 days to a peak near 320 days, then decreasing back to approximately 280 days. This reflects the combined effects of inventory, receivables, and payables on the cash flow timing, indicating deteriorated liquidity management during the peak followed by corrective measures.

Overall, the data indicates periods of decreased efficiency in inventory management and receivables collection, leading to longer cash conversion cycles and working capital turnover fluctuations. However, recent periods show some improvement in these areas, with shorter inventory processing and receivable collection periods, along with a reduced cash conversion cycle. Payables management has experienced variability, at times extending payment periods to preserve cash before shifting to faster payments, which can indicate changing strategic priorities or supplier relationships.


Turnover Ratios


Average No. Days


Inventory Turnover

KLA Corp., inventory turnover calculation (quarterly data)

Microsoft Excel
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 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019
Selected Financial Data (US$ in thousands)
Costs of revenues 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 1,041,226 978,564 892,091 908,162 813,624 772,241 709,629 669,733 620,562 621,544 590,158 633,618 604,241
Inventories 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 1,310,985 1,264,130 1,251,400 1,254,240
Short-term Activity Ratio
Inventory turnover1 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 1.87
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc. 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 4.35 4.15 4.10 3.81 3.87
Analog Devices Inc. 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 3.14 3.12 3.23 3.28
Applied Materials Inc. 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 2.44 2.30 2.32 2.43
Broadcom Inc. 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 10.34 9.51 10.76 10.73
Intel Corp. 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 3.27 3.50 3.91 4.15 4.06
Lam Research Corp. 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 2.86 3.11 3.42 3.51
Micron Technology Inc. 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 2.65 2.66 2.62 2.67
NVIDIA Corp. 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 3.44 3.69 3.47 3.81 4.24
Qualcomm Inc. 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 3.56 3.67 5.08 6.00
Texas Instruments Inc. 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 3.12 3.18 3.12 2.88 2.66

Based on: 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), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30).

1 Q4 2025 Calculation
Inventory turnover = (Costs of revenuesQ4 2025 + Costs of revenuesQ3 2025 + Costs of revenuesQ2 2025 + Costs of revenuesQ1 2025) ÷ Inventories
= (1,207,286 + 1,175,689 + 1,221,461 + 1,147,431) ÷ 3,212,149 = 1.48

2 Click competitor name to see calculations.


The cost of revenues demonstrates an overall upward trend from September 2019 through June 2025, despite some fluctuations in certain quarters. Initially, costs increased moderately from approximately 604 million US dollars in late 2019 to a peak exceeding 1.2 billion US dollars by December 2024. There is a notable acceleration in costs starting around late 2021, continuing through to the end of the observed period, suggesting increased expenditure related to revenue generation over time.

Inventories show a consistent and substantial growth trajectory across the same timeframe. Beginning at roughly 1.25 billion US dollars in September 2019, inventories more than doubled by mid-2025, reaching over 3.2 billion US dollars. This steady increase indicates ongoing accumulation of inventory assets, which may reflect strategic stockpiling or growth in business scale and operational capacity.

The inventory turnover ratio presents a declining trend, signifying a gradual slowdown in the frequency with which inventories are sold and replaced. Starting from a ratio around 1.87 in early 2020, the turnover ratio decreases steadily, reaching approximately 1.48 by mid-2025. This trend may imply longer holding periods for inventory or potential challenges in inventory management relative to sales volume.

Costs of revenues
Generally rising over the five-year period with some quarterly fluctuations; notable acceleration from late 2021 onwards; indicative of increased operational or production expenses.
Inventories
Consistent and robust growth, more than doubling from 2019 to mid-2025; suggests expansion or shift in inventory policies.
Inventory turnover ratio
Steady decline from early 2020 to 2025, pointing to slower inventory movement; potential operational inefficiencies or changing market demand dynamics.

Receivables Turnover

KLA Corp., receivables turnover calculation (quarterly data)

Microsoft Excel
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 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019
Selected Financial Data (US$ in thousands)
Revenues 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 1,459,593 1,423,964 1,509,453 1,413,414
Accounts receivable, net 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 1,107,413 1,119,263 1,191,035 1,066,188
Short-term Activity Ratio
Receivables turnover1 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 5.24
Benchmarks
Receivables Turnover, Competitors2
Advanced Micro Devices Inc. 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 6.07 6.68 6.60 5.24 4.73
Analog Devices Inc. 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 7.60 8.10 9.42 9.85
Applied Materials Inc. 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 5.81 5.80 5.88 5.61
Broadcom Inc. 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 10.40 8.64 7.13 6.21
Intel Corp. 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 8.36 9.34 10.40 10.78 11.48
Lam Research Corp. 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 4.79 4.39 4.70 5.80
Micron Technology Inc. 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 5.48 5.62 6.43 6.04
NVIDIA Corp. 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 6.86 5.80 6.27 6.18 6.59
Texas Instruments Inc. 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 10.78 10.64 10.54 9.74 10.23

Based on: 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), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30).

1 Q4 2025 Calculation
Receivables turnover = (RevenuesQ4 2025 + RevenuesQ3 2025 + RevenuesQ2 2025 + RevenuesQ1 2025) ÷ Accounts receivable, net
= (3,174,741 + 3,063,029 + 3,076,851 + 2,841,541) ÷ 2,263,915 = 5.37

2 Click competitor name to see calculations.


The financial data reveals several notable trends and fluctuations across various quarters.

Revenues
The revenue figures demonstrate a general upward trend over the observed period, starting at approximately 1.41 billion US dollars in the third quarter of 2019 and reaching over 3.17 billion by the second quarter of 2025. Despite this overall growth, there are intermittent periods of decline or stagnation, particularly noticeable around the first half of 2023 when revenues dropped from nearly 3 billion to about 2.36 billion, before resuming growth in subsequent quarters. The sharp increases tend to occur in the latter halves of years, suggesting possible seasonal effects or cyclical business factors influencing sales.
Accounts Receivable, Net
The accounts receivable fluctuate in line with revenue movements but with some volatility. From just over 1 billion in late 2019, the values exhibit upward swings reaching a peak exceeding 2.3 billion in the second quarter of 2025. The accounts receivable increased significantly towards the end of 2022 and early 2023, which may indicate an expansion in sales on credit or delays in collections during that period. Following the peak, some declines occur but are not sustained, indicating variability in the conversion of receivables into cash.
Receivables Turnover Ratio
The receivables turnover ratio, which indicates how efficiently the company collects its receivables, fluctuates within a moderate range. It hovers mostly between 4.5 and 6.2 times per year, showing no consistent long-term trend of improvement or deterioration. Some periods demonstrate higher efficiency, such as early 2023 and mid-2023, where the ratio approaches or surpasses 6 times, while other quarters fall below 5, indicating slower collections. The variability in turnover suggests changing credit policies, customer payment behaviors, or sales mix impacts on accounts receivable management.

Overall, the data reflects a growing revenue base supported by generally increasing receivables, with occasional periods of collection efficiency challenges. The receivables turnover ratio's fluctuation underscores the need for continued focus on credit management to sustain cash flow amid expanding sales.


Payables Turnover

KLA Corp., payables turnover calculation (quarterly data)

Microsoft Excel
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 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019
Selected Financial Data (US$ in thousands)
Costs of revenues 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 1,041,226 978,564 892,091 908,162 813,624 772,241 709,629 669,733 620,562 621,544 590,158 633,618 604,241
Accounts payable 458,509 429,318 432,891 376,505 359,487 354,720 376,671 363,662 371,026 410,885 530,407 479,707 443,338 424,128 379,875 380,827 342,083 295,111 262,496 254,458 264,280 243,234 256,646 221,388
Short-term Activity Ratio
Payables turnover1 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 9.27
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc. 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 6.05 7.29 8.31 6.38 9.92
Analog Devices Inc. 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 8.42 8.85 9.83 9.12
Broadcom Inc. 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 12.41 9.41 8.33 10.28
Intel Corp. 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 6.13 5.05 5.82 6.49 6.14
Lam Research Corp. 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 9.18 10.43 11.56 12.52
NVIDIA Corp. 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 5.23 5.03 5.44 5.65 6.04
Qualcomm Inc. 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 4.12 4.21 4.19 4.96
Texas Instruments Inc. 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 9.14 9.93 9.86 9.60 12.51

Based on: 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), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30).

1 Q4 2025 Calculation
Payables turnover = (Costs of revenuesQ4 2025 + Costs of revenuesQ3 2025 + Costs of revenuesQ2 2025 + Costs of revenuesQ1 2025) ÷ Accounts payable
= (1,207,286 + 1,175,689 + 1,221,461 + 1,147,431) ÷ 458,509 = 10.36

2 Click competitor name to see calculations.


The financial data over the examined periods reveals several observable trends in the company's cost of revenues, accounts payable, and payables turnover ratio.

Costs of Revenues
The cost of revenues, measured in thousands of US dollars, shows a generally upward trend from September 2019 through the most recent periods. Starting at approximately 604 million in September 2019, costs increased moderately through 2020 and 2021, reaching a peak close to 1.2 billion in December 2022. A notable spike occurred between late 2021 and late 2022, indicating rising operational or production expenses. After peaking, the costs displayed some fluctuations with minor declines and subsequent rises, stabilizing around the 1.1 to 1.2 billion range through mid-2025. This suggests ongoing high expenditure levels potentially linked to business expansion or inflationary pressures.
Accounts Payable
Accounts payable also demonstrated a rising pattern over the period. Beginning at roughly 221 million in September 2019, payable balances consistently increased, reaching near 530 million in December 2022, followed by a decline to about 363 million by mid-2023. Subsequently, payables fluctuated but trended upward again, approaching nearly 460 million by mid-2025. This pattern could indicate tighter credit terms or increased vendor purchases, though the mid-2023 dip may reflect improved payment efficiency or renegotiation of supplier terms.
Payables Turnover Ratio
Data for the payables turnover ratio is not complete for the earliest periods but begins recording values from March 2020 onward. Initial ratios hovered around 9 to 9.7, then trended downward through 2021 into 2022 where ratios fell into the 7.7 to 8.1 range, suggesting a slower payment cycle or extended supplier credit during this timeframe. However, starting from late 2022 into 2023 and beyond, a pronounced increase in the turnover ratio occurred, with values rising above 10 and peaking at approximately 11.4. This shift signifies quicker payment to suppliers relative to cost of goods purchased, possibly reflecting improved cash management or more favorable payment practices.

In summary, costs of revenues and accounts payable have generally increased over the years, indicating growth in business scale or cost structure changes. The payables turnover ratio, after a period of decline or stagnation, improved significantly, pointing toward enhanced operational efficiency in managing payables in the latter periods. The combination of these trends may reflect strategic adjustments in procurement and expense management aligning with broader financial goals.


Working Capital Turnover

KLA Corp., working capital turnover calculation (quarterly data)

Microsoft Excel
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 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019
Selected Financial Data (US$ in thousands)
Current assets 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 4,723,545 4,318,465 4,377,443 4,355,749
Less: Current liabilities 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 1,699,786 1,653,274 1,718,243 1,943,447
Working capital 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 3,023,759 2,665,191 2,659,200 2,412,302
 
Revenues 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 1,459,593 1,423,964 1,509,453 1,413,414
Short-term Activity Ratio
Working capital turnover1 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 1.92
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc. 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 3.78 3.36 2.71 2.64 2.62
Analog Devices Inc. 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 4.86 6.92 11.81 40.91
Applied Materials Inc. 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 1.93 2.04 1.94 2.42
Broadcom Inc. 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 4.32 3.32 3.00 5.19
Intel Corp. 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 2.61 2.47 3.16 3.59 3.46
Lam Research Corp. 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 1.31 1.32 1.62 1.49
Micron Technology Inc. 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 1.89 1.73 1.93 2.10
NVIDIA Corp. 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 1.37 1.38 1.06 0.67 0.92
Qualcomm Inc. 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 2.39 2.62 4.47 3.50
Texas Instruments Inc. 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 1.65 1.57 1.87 1.77 1.84

Based on: 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), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30).

1 Q4 2025 Calculation
Working capital turnover = (RevenuesQ4 2025 + RevenuesQ3 2025 + RevenuesQ2 2025 + RevenuesQ1 2025) ÷ Working capital
= (3,174,741 + 3,063,029 + 3,076,851 + 2,841,541) ÷ 6,612,994 = 1.84

2 Click competitor name to see calculations.


Working Capital
Working capital demonstrated a general upward trend from September 2019 through June 2025. Initial values around 2,412,302 thousand US dollars increased steadily with some fluctuations, reaching approximately 6,612,994 thousand US dollars by June 2025. Notable growth periods occurred particularly in late 2021 through 2022 and again from late 2023 onward, despite a dip observed around December 2023.
Revenues
Revenues exhibited a rising trend from September 2019 to the end of 2024, peaking in December 2024 at approximately 3,176,741 thousand US dollars. The revenue growth was marked by a few periods of short-term decline, notably in early 2023. After a peak in late 2022, revenues decreased significantly in the first half of 2023, before resuming upward momentum through the following quarters.
Working Capital Turnover Ratio
The working capital turnover ratio shows the efficiency with which working capital generates revenues. From the data available starting March 2020, the ratio ranged mostly between 1.83 and 2.31, indicating relatively stable turnover efficiency over time with moderate fluctuations. Peaks in turnover occurred in the mid-2021 period nearing 2.3, after which a decline started towards mid-2024, reaching levels below 1.9. This suggests a slight reduction in the efficiency of working capital utilization in generating revenues in the latest periods.
Summary Insights
Overall, the data reflects consistent growth in working capital and revenues over the considered periods, suggesting expansion and increased operational scale. However, the decrease in the working capital turnover ratio in recent quarters may indicate emerging challenges in maintaining efficiency. The pronounced dip in revenues in early 2023 followed by recovery points to potential cyclical or external factors affecting sales temporarily. The combination of these trends highlights the importance of monitoring capital management to support sustained revenue growth.

Average Inventory Processing Period

KLA Corp., average inventory processing period calculation (quarterly data)

Microsoft Excel
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 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019
Selected Financial Data
Inventory turnover 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 1.87
Short-term Activity Ratio (no. days)
Average inventory processing period1 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211 207 202 207 206 195
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Advanced Micro Devices Inc. 157 169 160 156 149 140 130 133 135 120 106 101 86 91 84 88 89 96 94
Analog Devices Inc. 137 135 131 127 128 131 135 140 136 129 114 96 97 100 157 115 116 115 116 117 113 111
Applied Materials Inc. 142 139 139 144 148 147 148 149 152 157 157 151 140 131 129 130 138 143 150 159 157 150
Broadcom Inc. 38 36 34 41 45 55 62 60 61 61 63 62 57 53 45 40 35 33 35 38 34 34
Intel Corp. 111 124 125 124 127 130 125 128 131 136 133 126 121 123 112 104 93 88 90
Lam Research Corp. 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124 126 131 135 132 128 117 107 104
Micron Technology Inc. 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101 95 98 106 133 138 137 139 137
NVIDIA Corp. 113 102 105 109 116 129 136 149 162 135 121 112 101 94 97 100 106 99 105 96 86
Qualcomm Inc. 121 121 128 137 133 138 141 148 144 140 138 124 112 102 93 83 87 83 88 102 99 72 61
Texas Instruments Inc. 251 254 252 241 229 228 225 222 215 190 161 143 133 127 117 115 117 127 137

Based on: 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), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30).

1 Q4 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 1.48 = 247

2 Click competitor name to see calculations.


The data shows the quarterly trends of two key inventory management ratios: Inventory turnover and Average inventory processing period, over multiple years.

Inventory Turnover (ratio)
The inventory turnover ratio starts at 1.87 in June 2020 and generally exhibits a gradual declining trend over time. By March 2025, the ratio decreases to approximately 1.48. This decline suggests a slowing in the rate at which inventory is sold and replaced, indicating potentially slower sales or increased inventory holding.
Average Inventory Processing Period (number of days)
The average inventory processing period shows an increasing trend during the same period. Starting from 195 days in June 2020, the number of days rises steadily to a peak of around 285 days by September 2023. After this peak, a moderate decline is observed, with the period dropping to approximately 247 days by March 2025. This measure is inversely related to inventory turnover, confirming that inventory is being held longer over time before being processed or sold.

Overall, the patterns in the data imply a lengthening cycle of inventory management, with inventory turning over less frequently and inventories being held for more extended periods. This trend may suggest challenges in moving inventory promptly, potential demand fluctuations, or strategic changes in inventory policy. The slight decrease in the inventory processing period after late 2023 could indicate a response to these trends, possibly reflecting improved inventory efficiency or adjustments in supply chain operations.


Average Receivable Collection Period

KLA Corp., average receivable collection period calculation (quarterly data)

Microsoft Excel
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 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019
Selected Financial Data
Receivables turnover 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 5.24
Short-term Activity Ratio (no. days)
Average receivable collection period1 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72 69 68 73 63 70
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Advanced Micro Devices Inc. 63 72 88 109 90 81 87 83 72 64 64 69 69 71 60 55 55 70 77
Analog Devices Inc. 51 47 52 42 35 38 44 46 46 47 55 57 60 71 73 46 48 52 48 45 39 37
Applied Materials Inc. 80 79 70 68 66 65 71 72 76 75 86 72 72 67 78 65 62 61 63 63 62 65
Broadcom Inc. 36 33 31 36 47 47 32 30 32 34 33 31 38 33 28 31 35 37 35 42 51 59
Intel Corp. 16 21 24 21 21 22 23 20 20 25 24 39 30 33 44 39 35 34 32
Lam Research Corp. 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79 76 77 89 77 76 83 78 63
Micron Technology Inc. 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65 70 61 52 61 67 65 57 60
NVIDIA Corp. 65 57 54 57 60 68 79 58 52 63 65 67 63 59 60 57 53 63 58 59 55
Texas Instruments Inc. 42 42 40 43 39 36 37 40 38 35 35 37 41 35 34 34 35 37 36

Based on: 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), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30).

1 Q4 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.37 = 68

2 Click competitor name to see calculations.


Receivables Turnover
The receivables turnover ratio displays a fluctuating trend over the observed periods. Starting at 5.24 in June 2020, it rose to a peak of 5.77 by December 2020 before declining to around 4.72 in September 2021. It then generally increased again, reaching the highest value of 6.24 in June 2023, followed by some oscillations around the mid-5 range. The ratio ends at 5.37 in June 2025, indicating moderate efficiency in collecting receivables but with some variability throughout the period.
Average Receivable Collection Period
The average collection period shows an inverse pattern compared to the receivables turnover. Initially, it decreased from 70 days in June 2020 to 63 days by December 2020, indicating quicker collections. Subsequently, it extended to a high of 79 days by March 2023 and again in March 2025, suggesting slower collection during these times. Post the peak in March 2023, the period generally trended downward, reaching a low of 59 days in December 2023. The final values settle at 68 days in June 2025, reflecting some improvement but still moderate collection times.
Overall Observations
The data reveal a cyclical behavior in receivables management, with periods of increased efficiency followed by slower collections. The inverse relationship between receivables turnover and average collection period is consistent with financial theory. The fluctuations could point to seasonal business patterns or changes in credit policy effectiveness. Stability in the latter periods around mid-range values suggests some normalization after previous variability.

Operating Cycle

KLA Corp., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
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 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019
Selected Financial Data
Average inventory processing period 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211 207 202 207 206 195
Average receivable collection period 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72 69 68 73 63 70
Short-term Activity Ratio
Operating cycle1 315 321 333 345 350 345 355 325 310 304 304 299 290 282 285 283 276 270 280 269 265
Benchmarks
Operating Cycle, Competitors2
Advanced Micro Devices Inc. 220 241 248 265 239 221 217 216 207 184 170 170 155 162 144 143 144 166 171
Analog Devices Inc. 188 182 183 169 163 169 179 186 182 176 169 153 157 171 230 161 164 167 164 162 152 148
Applied Materials Inc. 222 218 209 212 214 212 219 221 228 232 243 223 212 198 207 195 200 204 213 222 219 215
Broadcom Inc. 74 69 65 77 92 102 94 90 93 95 96 93 95 86 73 71 70 70 70 80 85 93
Intel Corp. 127 145 149 145 148 152 148 148 151 161 157 165 151 156 156 143 128 122 122
Lam Research Corp. 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203 202 208 224 209 204 200 185 167
Micron Technology Inc. 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166 165 159 158 194 205 202 196 197
NVIDIA Corp. 178 159 159 166 176 197 215 207 214 198 186 179 164 153 157 157 159 162 163 155 141
Texas Instruments Inc. 293 296 292 284 268 264 262 262 253 225 196 180 174 162 151 149 152 164 173

Based on: 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), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30).

1 Q4 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 247 + 68 = 315

2 Click competitor name to see calculations.


Average inventory processing period
The average inventory processing period demonstrates a general upward trend from the earliest reported figure of 195 days to a peak of 285 days around September 2023. Following this peak, there is a gradual decline observed, with the period reducing to 247 days by June 2025. This indicates an initial lengthening in the time inventory remains before processing, followed by improvements in inventory turnover efficiency in the most recent quarters.
Average receivable collection period
The average receivable collection period exhibits fluctuations throughout the periods. It starts at 70 days and experiences moderate variability within a range roughly between 59 and 79 days. Notably, there is a decrease to the low 60s in mid-2021 and again in early 2023, followed by intermittent rises. The latter part of the timeframe shows a slight stabilization around the high 60s, suggesting relatively consistent but somewhat variable efficiency in collecting receivables over time.
Operating cycle
The operating cycle, which combines the inventory processing and receivable collection periods, mirrors the trends observed in its components. It increases from approximately 265 days to a high around 355 days during September 2023. After reaching this apex, the cycle shortens progressively, falling to approximately 315 days by June 2025. This reflects a lengthening of the overall cash conversion time through most of the period, followed by a discernible improvement in operational efficiency in the later quarters.
Summary
Overall, the data reveals a period of increasing operational durations, specifically in inventory processing and overall operating cycle, peaking in late 2023. Subsequent to these peaks, the company has managed to reduce both inventory days and the total operating cycle, indicating enhanced effectiveness in inventory management. Meanwhile, the receivable collection period remains relatively variable but stable without a definitive trend, suggesting consistent receivables management practices. The improvements in the operating cycle towards the end of the observed periods may signal efforts to optimize working capital and enhance liquidity management.

Average Payables Payment Period

KLA Corp., average payables payment period calculation (quarterly data)

Microsoft Excel
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 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019
Selected Financial Data
Payables turnover 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 9.27
Short-term Activity Ratio (no. days)
Average payables payment period1 35 34 36 33 33 33 35 32 32 35 47 46 45 46 43 47 45 41 38 38 39
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Advanced Micro Devices Inc. 73 58 69 87 63 56 72 77 92 81 83 82 61 63 60 50 44 57 37
Analog Devices Inc. 39 34 44 38 37 33 41 48 47 45 47 43 41 45 58 47 50 42 43 41 37 40
Broadcom Inc. 24 36 32 38 35 43 40 32 27 30 33 24 37 37 37 33 29 31 29 39 44 36
Intel Corp. 104 110 128 114 109 97 96 97 96 85 97 70 79 74 60 72 63 56 59
Lam Research Corp. 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36 39 39 41 41 40 35 32 29
NVIDIA Corp. 71 71 58 50 59 64 61 37 37 45 75 71 69 70 68 61 70 72 67 65 60
Qualcomm Inc. 44 48 53 55 57 52 49 44 38 29 51 74 77 83 85 70 76 79 83 89 87 87 74
Texas Instruments Inc. 46 47 46 45 48 31 45 40 53 55 50 46 43 39 40 37 37 38 29

Based on: 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), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30).

1 Q4 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 10.36 = 35

2 Click competitor name to see calculations.


Payables Turnover Ratio
Starting from the first available data in June 2020, the payables turnover ratio was 9.27, showing a slight increase to a peak of 9.69 in December 2020. Following this peak, the ratio trended downward, reaching a low of 7.77 in December 2022. From this point, a significant upward trend emerged, reaching a high of 11.37 in December 2023. Subsequently, the ratio leveled off somewhat, maintaining values around 10.3 to 11 in the following quarters through June 2025.
Average Payables Payment Period
The average payables payment period exhibited an inverse trend compared to the payables turnover. Initially recorded at 39 days in June 2020, the period extended gradually over the next two and a half years, reaching a maximum duration of 47 days in December 2022 and March 2023. From this peak, a marked decline occurred, dropping to approximately 32-35 days by late 2023 and stabilizing within this range through mid-2025.
Insights and Interpretations
The data indicates a fluctuating management approach to payables. The initial increase in payables turnover paired with a decrease in payment period suggests a strategy of faster payments early in the timeline, possibly to optimize supplier relationships or take advantage of early payment discounts. However, the subsequent decline in turnover and lengthening of payment period could reflect efforts to extend credit terms or conserve cash during more challenging periods.
The reversal of these trends after December 2022, with payables turnover increasing sharply and payment period shortening significantly, may indicate improved liquidity or a strategic shift toward accelerating payments. This could also reflect changes in operational or financial conditions, potentially aiming to strengthen supplier confidence or reduce interest costs.
Overall, the financial item trends reflect responsiveness to external and internal factors, with a clear pattern of extending and then contracting payment terms within the analyzed period.

Cash Conversion Cycle

KLA Corp., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
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 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019
Selected Financial Data
Average inventory processing period 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211 207 202 207 206 195
Average receivable collection period 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72 69 68 73 63 70
Average payables payment period 35 34 36 33 33 33 35 32 32 35 47 46 45 46 43 47 45 41 38 38 39
Short-term Activity Ratio
Cash conversion cycle1 280 287 297 312 317 312 320 293 278 269 257 253 245 236 242 236 231 229 242 231 226
Benchmarks
Cash Conversion Cycle, Competitors2
Advanced Micro Devices Inc. 147 183 179 178 176 165 145 139 115 103 87 88 94 99 84 93 100 109 134
Analog Devices Inc. 149 148 139 131 126 136 138 138 135 131 122 110 116 126 172 114 114 125 121 121 115 108
Broadcom Inc. 50 33 33 39 57 59 54 58 66 65 63 69 58 49 36 38 41 39 41 41 41 57
Intel Corp. 23 35 21 31 39 55 52 51 55 76 60 95 72 82 96 71 65 66 63
Lam Research Corp. 217 226 226 229 238 252 241 223 213 215 213 207 180 162 167 163 169 183 168 164 165 153 138
NVIDIA Corp. 107 88 101 116 117 133 154 170 177 153 111 108 95 83 89 96 89 90 96 90 81
Texas Instruments Inc. 247 249 246 239 220 233 217 222 200 170 146 134 131 123 111 112 115 126 144

Based on: 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), 10-K (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-Q (reporting date: 2019-09-30).

1 Q4 2025 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 247 + 6835 = 280

2 Click competitor name to see calculations.


Average Inventory Processing Period
The average inventory processing period shows a generally increasing trend across the available data. Starting at 195 days, it experiences moderate fluctuations but primarily rises, peaking around 285 days by September 2023. Following this peak, there is a gradual decline to 247 days by June 2025. This pattern suggests an initial lengthening of inventory turnover time, which eventually slows down, potentially indicating improved inventory management or changes in product demand towards the end of the period.
Average Receivable Collection Period
The average receivable collection period exhibits variability without a clear directional trend. Beginning at 70 days, it fluctuates moderately around the mid to high 60s and 70s. Notable decreases occur around mid-2023, reaching a low point near 59 days, followed by increases and decreases in subsequent periods. The persistence of values within a relatively narrow range indicates stable but somewhat inconsistent efficiency in collecting receivables over the observed intervals.
Average Payables Payment Period
The average payables payment period starts around 39 days and generally increases to a peak above 47 days in late 2021 and early 2022. After this peak, a marked decline is observed, dropping to the low 30s by mid-2023 and maintaining this level through mid-2025. This downward shift indicates a transition to faster payment of payables, which might reflect changes in vendor relationships, credit terms, or cash management strategies.
Cash Conversion Cycle
The cash conversion cycle demonstrates a consistent upward trajectory from 226 days to a peak of 320 days by September 2023, before gradually declining to 280 days by June 2025. This elongation implies that the company took progressively longer to convert investments in inventory and receivables into cash, driven primarily by the increased inventory processing period despite variations in receivable collection and payables payment periods. The eventual reduction suggests efforts to improve overall working capital efficiency towards the later periods.