Stock Analysis on Net

Lam Research Corp. (NASDAQ:LRCX)

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

Microsoft Excel

Short-term Activity Ratios (Summary)

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

Microsoft Excel
Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019
Turnover Ratios
Inventory turnover 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 2.86
Receivables turnover 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 4.79
Payables turnover 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 9.18
Working capital turnover 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 1.31
Average No. Days
Average inventory processing period 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124 126 131 135 132 128
Add: Average receivable collection period 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79 76 77 89 77 76
Operating cycle 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203 202 208 224 209 204
Less: Average payables payment period 33 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36 39 39 41 41 40
Cash conversion cycle 200 217 226 226 229 238 252 241 223 213 215 213 207 180 162 167 163 169 183 168 164

Based on: 10-K (reporting date: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-Q (reporting date: 2024-09-29), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-24), 10-Q (reporting date: 2023-09-24), 10-K (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-Q (reporting date: 2022-09-25), 10-K (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-Q (reporting date: 2021-09-26), 10-K (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27), 10-Q (reporting date: 2020-09-27), 10-K (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-Q (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29).


The financial ratios exhibit distinctive trends over the observed quarterly periods, highlighting changes in operational efficiency and liquidity management.

Inventory Turnover
The inventory turnover ratio declined gradually, moving from approximately 2.86 in mid-2020 to a low near 1.75 by late 2023, before slightly rebounding to 2.2 by mid-2025. This suggests a slowing rate of inventory movement and potentially increased inventory holding periods toward the latter periods.
Receivables Turnover
The receivables turnover ratio demonstrates some volatility but generally improved in recent quarters. After fluctuating between about 4 and 6 from 2020 through early 2023, it peaked above 6 in mid-2023, followed by slight decreases and stabilization around 5.3 to 5.5 in 2024 and 2025, indicating somewhat faster collection of receivables in those recent years.
Payables Turnover
Payables turnover showed an increasing trend from about 8.9 in early 2020 to a notable peak of over 20 in early 2023, reflecting more rapid payments to suppliers. However, it decreased steadily thereafter, reaching approximately 11 by mid-2025, signaling a return to somewhat slower payment cycles in the latest periods.
Working Capital Turnover
The working capital turnover ratio increased from roughly 1.3 in 2020 to over 2.3 by mid-2025, indicating improved efficiency in using working capital to generate revenue. Despite minor fluctuations, the overall trend points to better utilization of net working capital over time.
Average Inventory Processing Period
The number of days inventory is held rose significantly from about 128 days in mid-2020 to a peak exceeding 208 days by late 2023. This lengthening inventory period correlates with the declining inventory turnover ratio and suggests increased inventory accumulation or slower inventory movement. A modest decline to 166 days by mid-2025 indicates some normalization.
Average Receivable Collection Period
The collection period displayed variability, increasing from around 76 days in 2020 to a peak near 93 days in 2022, then decreasing markedly to approximately 56 days by late 2023. It stabilized between 62 and 74 days thereafter, implying an initial stretch in collections followed by enhanced collection effectiveness in recent years.
Operating Cycle
The operating cycle duration, measuring the time to convert inventory and receivables into cash, extended from near 204 days in 2020 to a high around 275 days by late 2023, before declining to approximately 233 days by mid-2025. This suggests increasing capital tied up in operations before recent improvements.
Average Payables Payment Period
The payment period for payables shortened from about 40 days to a low near 18 days in early 2023, reflecting faster payments, then gradually increased to around 35 days by mid-2025. This pattern implies fluctuating supplier payment practices with a return to moderate extensions in payment terms recently.
Cash Conversion Cycle
The cash conversion cycle, representing the net time for cash flow turnarounds, lengthened from approximately 164 days in 2020 to over 252 days by late 2023. It then decreased to about 200 days by mid-2025, suggesting prolonged cash deployment periods followed by partial recovery towards improved liquidity management.

In summary, the company experienced increasing operational cycle lengths and slower inventory turnover until late 2023, accompanied by faster collections and payments shifting in a wide range. The latter periods show signs of operational efficiency recovering, with improvements in turnover ratios and reductions in cycle durations contributing to enhanced working capital utilization and liquidity positions.


Turnover Ratios


Average No. Days


Inventory Turnover

Lam Research Corp., inventory turnover calculation (quarterly data)

Microsoft Excel
Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019
Selected Financial Data (US$ in thousands)
Cost of goods sold 2,581,684 2,406,489 2,303,066 2,165,293 2,031,409 1,993,022 2,000,804 1,827,360 1,749,128 2,263,957 2,901,220 2,737,286 2,535,042 2,243,791 2,248,688 2,327,711 2,229,978 2,067,523 1,852,442 1,670,901 1,511,532 1,336,618 1,403,857 1,184,036
Inventories 4,307,991 4,463,275 4,358,152 4,209,878 4,217,924 4,322,967 4,429,906 4,747,781 4,816,190 4,881,935 4,819,966 4,360,325 3,966,294 3,479,332 3,074,177 2,872,141 2,689,294 2,552,032 2,348,955 2,138,050 1,900,024 1,674,740 1,528,620 1,483,385
Short-term Activity Ratio
Inventory turnover1 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 2.86
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. 2.59 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 3.14 3.12 3.23 3.28
Applied Materials Inc. 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 2.44 2.30 2.32 2.43
Broadcom Inc. 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 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
KLA Corp. 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
Micron Technology Inc. 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 2.65
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: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-Q (reporting date: 2024-09-29), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-24), 10-Q (reporting date: 2023-09-24), 10-K (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-Q (reporting date: 2022-09-25), 10-K (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-Q (reporting date: 2021-09-26), 10-K (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27), 10-Q (reporting date: 2020-09-27), 10-K (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-Q (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29).

1 Q4 2025 Calculation
Inventory turnover = (Cost of goods soldQ4 2025 + Cost of goods soldQ3 2025 + Cost of goods soldQ2 2025 + Cost of goods soldQ1 2025) ÷ Inventories
= (2,581,684 + 2,406,489 + 2,303,066 + 2,165,293) ÷ 4,307,991 = 2.20

2 Click competitor name to see calculations.


The cost of goods sold (COGS) exhibits a fluctuating upward trend over the observed periods, with notable variations. Initially, from September 2019 through September 2022, COGS generally increases from approximately 1.18 billion to about 2.74 billion USD, suggesting growing production or sales volumes. However, from September 2022 to March 2023, there is a significant decline from roughly 2.9 billion to 2.26 billion USD, followed by further decrease through June 2023 to around 1.75 billion USD. Subsequently, COGS rises again gradually, reaching approximately 2.58 billion USD by June 2025. This pattern indicates periods of contraction and recovery in production or sales costs, potentially reflecting seasonal influences or market conditions.

Inventories consistently rise from about 1.48 billion USD in September 2019 to nearly 4.82 billion USD by December 2022, indicating accumulation of stock over this timeframe. After reaching a peak near 4.88 billion USD in March 2023, inventory levels stabilize and then begin a gradual decline, falling to approximately 4.31 billion USD by June 2025. This reduction may suggest improved inventory management or changes in demand affecting stockholding.

The inventory turnover ratio starts from 2.86 in June 2020 and exhibits a declining trend until it reaches its lowest point at 1.75 by September 2023, indicating that the company is selling and replacing its inventory less frequently. After this low, the turnover ratio improves slightly, reaching around 2.2 by June 2025, which suggests a modest recovery in the efficiency of inventory usage.

Cost of Goods Sold
Overall upward trend from 2019 to late 2022, sharp decline in early 2023, followed by gradual recovery through 2025.
Inventories
Steady increase until early 2023, peaking near 4.88 billion USD, then a gentle decrease through mid-2025.
Inventory Turnover Ratio
Decline from about 2.9 in 2020 to a low near 1.75 in 2023, improving slightly to around 2.2 by mid-2025, indicating changes in inventory management efficiency.

The combined analysis of these metrics suggests that while there was initial growth and accumulation in production and stockholdings, the company experienced a period of reduced sales or stock movement efficiency circa early 2023. The subsequent partial recovery in inventory turnover and COGS implies efforts to optimize operations and respond to changing market circumstances.


Receivables Turnover

Lam Research Corp., receivables turnover calculation (quarterly data)

Microsoft Excel
Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019
Selected Financial Data (US$ in thousands)
Revenue 5,171,393 4,720,175 4,376,047 4,167,976 3,871,507 3,793,558 3,758,259 3,482,062 3,207,257 3,869,569 5,277,569 5,074,121 4,635,554 4,060,416 4,226,604 4,304,465 4,145,179 3,847,654 3,456,237 3,177,080 2,791,864 2,503,625 2,583,501 2,165,746
Accounts receivable, less allowance 3,378,071 3,228,182 3,304,946 2,937,217 2,519,250 2,203,707 2,707,458 2,810,953 2,823,376 3,262,140 4,070,088 4,569,735 4,313,818 3,702,320 3,402,840 3,397,180 3,026,430 2,809,068 2,900,362 2,317,922 2,097,099 2,191,070 2,030,490 1,635,643
Short-term Activity Ratio
Receivables turnover1 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 4.79
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. 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 7.60 8.10 9.42 9.85
Applied Materials Inc. 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 5.81 5.80 5.88 5.61
Broadcom Inc. 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 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
KLA Corp. 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
Micron Technology Inc. 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 5.48
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: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-Q (reporting date: 2024-09-29), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-24), 10-Q (reporting date: 2023-09-24), 10-K (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-Q (reporting date: 2022-09-25), 10-K (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-Q (reporting date: 2021-09-26), 10-K (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27), 10-Q (reporting date: 2020-09-27), 10-K (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-Q (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29).

1 Q4 2025 Calculation
Receivables turnover = (RevenueQ4 2025 + RevenueQ3 2025 + RevenueQ2 2025 + RevenueQ1 2025) ÷ Accounts receivable, less allowance
= (5,171,393 + 4,720,175 + 4,376,047 + 4,167,976) ÷ 3,378,071 = 5.46

2 Click competitor name to see calculations.


The revenue of the company exhibited a generally increasing trend from September 2019 through December 2022, peaking at 5,277,569 thousand US dollars in the last quarter of 2022. Following this peak, revenue experienced a notable decline in the first half of 2023, hitting a low of 3,207,257 thousand dollars in June 2023. After this dip, revenue gradually recovered and resumed an upward trajectory, reaching 5,171,393 thousand dollars by June 2025. This pattern suggests a period of volatility in 2023 followed by steady growth thereafter.

Accounts receivable, less allowance, showed some fluctuations over the period. From September 2019 to December 2021, it generally increased, reaching a peak of 4,569,735 thousand US dollars in September 2022. However, a significant reduction in receivables was observed in 2023, falling to 2,813,376 thousand dollars by June 2023. In the later quarters, accounts receivable partially rebounded, ending at 3,378,071 thousand dollars in June 2025, which remains below the earlier peak level. This suggests variability in the collection or credit policies impacting the receivables balance.

The receivables turnover ratio, available from March 2020 onwards, displayed variability within a range approximately between 3.94 and 6.46. Initially, the ratio hovered around 4.1 to 4.8, declined mid-2021 to near 3.9, before improving significantly to a high of 6.46 by September 2023, suggesting more efficient collection or faster turnover of receivables during that period. After this peak, the turnover ratio fluctuated moderately, ending at 5.46 in June 2025, indicating a relatively stable and efficient receivables management toward the end of the period.

Revenue
General increase from 2,165,746 to peaks over 5 million US$; notable dip in 2023 followed by recovery.
Accounts Receivable, less allowance
Growth through 2022 with a peak around 4.57 million US$; sharp decrease in early 2023; partial recovery afterward.
Receivables Turnover Ratio
Fluctuated from just below 4 to above 6; indicated improved efficiency in receivables management especially in late 2023 period.

Payables Turnover

Lam Research Corp., payables turnover calculation (quarterly data)

Microsoft Excel
Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019
Selected Financial Data (US$ in thousands)
Cost of goods sold 2,581,684 2,406,489 2,303,066 2,165,293 2,031,409 1,993,022 2,000,804 1,827,360 1,749,128 2,263,957 2,901,220 2,737,286 2,535,042 2,243,791 2,248,688 2,327,711 2,229,978 2,067,523 1,852,442 1,670,901 1,511,532 1,336,618 1,403,857 1,184,036
Trade accounts payable 854,208 853,308 822,278 704,247 613,966 531,648 499,704 528,163 470,702 601,930 919,408 1,146,286 1,011,208 1,007,026 952,666 837,708 829,710 760,942 722,490 662,674 592,387 498,860 452,779 415,808
Short-term Activity Ratio
Payables turnover1 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 9.18
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. 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 8.42 8.85 9.83 9.12
Broadcom Inc. 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 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
KLA Corp. 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
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: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-Q (reporting date: 2024-09-29), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-24), 10-Q (reporting date: 2023-09-24), 10-K (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-Q (reporting date: 2022-09-25), 10-K (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-Q (reporting date: 2021-09-26), 10-K (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27), 10-Q (reporting date: 2020-09-27), 10-K (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-Q (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29).

1 Q4 2025 Calculation
Payables turnover = (Cost of goods soldQ4 2025 + Cost of goods soldQ3 2025 + Cost of goods soldQ2 2025 + Cost of goods soldQ1 2025) ÷ Trade accounts payable
= (2,581,684 + 2,406,489 + 2,303,066 + 2,165,293) ÷ 854,208 = 11.07

2 Click competitor name to see calculations.


The data presents multiple financial metrics over a series of quarterly periods. Several notable trends emerge regarding cost of goods sold, trade accounts payable, and payables turnover ratio.

Cost of Goods Sold (COGS)
The COGS shows a general upward trend from September 2019 through December 2022, increasing from approximately 1.18 billion USD to a peak near 2.9 billion USD. This indicates rising expenses directly related to production or acquisition of goods over this period. However, starting in March 2023, COGS displays significant volatility and decline, dropping sharply to around 1.75 billion USD by June 2023. Subsequent quarters see a gradual recovery with fluctuations but remaining below the earlier peak values through mid-2025. This pattern may reflect operational adjustments, cost controls, or changes in production volume during recent quarters.
Trade Accounts Payable
Trade accounts payable steadily increased from around 416 million USD in September 2019 to over 1.14 billion USD by September 2022. After this peak, a marked decline occurs through March 2023, dropping to about 470 million USD, followed by slight recovery and fluctuations ranging between approximately 500 million USD and 850 million USD through mid-2025. This suggests variations in the timing or volume of payments to suppliers, possibly linked to changes in purchasing activity or credit terms.
Payables Turnover Ratio
The payables turnover ratio, available starting June 2020, initially slightly declined from 9.18 to a low near 8.52 by September 2022, indicating slower payment processing or longer payment terms. Starting in December 2022, there is a noticeable and rapid increase in the ratio to above 20 by March 2023, followed by a gradual decline toward 10-11 in subsequent quarters. The sharp increase during late 2022 to early 2023 signals a phase of much faster payment to suppliers, which coincides with the observed decrease in trade payables and COGS in this period. The subsequent decline towards more moderate turnover suggests normalization of payment practices.

In summary, the company experienced sustained growth in cost of goods sold and payables through late 2022, followed by a period of sharp reduction in both metrics and a spike in payables turnover, indicating possible operational shifts such as accelerated supplier payments or decreased production activity around early 2023. The later periods show signs of stabilization but at levels below the previous highs, which may reflect market or business cycle adjustments.


Working Capital Turnover

Lam Research Corp., working capital turnover calculation (quarterly data)

Microsoft Excel
Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019
Selected Financial Data (US$ in thousands)
Current assets 14,516,995 13,460,322 13,612,847 13,492,368 12,883,220 12,488,436 13,054,612 12,993,562 13,228,412 13,730,027 13,708,788 13,612,664 12,285,235 11,888,101 12,102,862 11,144,682 11,652,387 11,322,270 11,467,952 11,274,883 10,853,535 9,408,785 8,454,965 8,834,615
Less: Current liabilities 6,568,425 5,489,845 5,350,296 5,342,668 4,338,438 4,430,089 4,272,383 4,247,177 4,184,918 4,441,329 4,546,922 5,053,382 4,564,759 4,194,741 3,863,151 3,409,220 3,527,867 3,612,333 3,591,053 3,406,868 3,162,442 2,105,661 2,565,501 2,457,682
Working capital 7,948,570 7,970,477 8,262,551 8,149,700 8,544,782 8,058,347 8,782,229 8,746,385 9,043,494 9,288,698 9,161,866 8,559,282 7,720,476 7,693,360 8,239,711 7,735,462 8,124,520 7,709,937 7,876,899 7,868,015 7,691,093 7,303,124 5,889,464 6,376,933
 
Revenue 5,171,393 4,720,175 4,376,047 4,167,976 3,871,507 3,793,558 3,758,259 3,482,062 3,207,257 3,869,569 5,277,569 5,074,121 4,635,554 4,060,416 4,226,604 4,304,465 4,145,179 3,847,654 3,456,237 3,177,080 2,791,864 2,503,625 2,583,501 2,165,746
Short-term Activity Ratio
Working capital turnover1 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 1.31
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. 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 4.86 6.92 11.81 40.91
Applied Materials Inc. 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 1.93 2.04 1.94 2.42
Broadcom Inc. 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 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
KLA Corp. 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
Micron Technology Inc. 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 1.89
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: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-Q (reporting date: 2024-09-29), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-24), 10-Q (reporting date: 2023-09-24), 10-K (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-Q (reporting date: 2022-09-25), 10-K (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-Q (reporting date: 2021-09-26), 10-K (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27), 10-Q (reporting date: 2020-09-27), 10-K (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-Q (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29).

1 Q4 2025 Calculation
Working capital turnover = (RevenueQ4 2025 + RevenueQ3 2025 + RevenueQ2 2025 + RevenueQ1 2025) ÷ Working capital
= (5,171,393 + 4,720,175 + 4,376,047 + 4,167,976) ÷ 7,948,570 = 2.32

2 Click competitor name to see calculations.


Working Capital
Working capital expressed in thousands of US dollars shows fluctuations over the reported periods. Initially, it decreased from approximately 6.4 million at the end of 2019 to about 5.9 million in December 2019. Afterwards, there was a general upward trend reaching a peak of approximately 9.16 million in December 2022. From this peak, the figure exhibited some variability but showed a decreasing trend rolling into 2025, ending around 7.95 million. Notably, the working capital remained substantially higher in the latter years compared to the earlier periods, indicating an overall increase in liquidity or current asset management capacity.
Revenue
Revenue, also in thousands of US dollars, experienced substantial growth from 2.17 million in September 2019 to a peak of over 5.27 million in December 2022. This growth trajectory was marked by a consistent upward momentum until December 2022, with interim variations. Noteworthy is a significant dip in revenue during 2023, reaching lows near 3.2 million in December 2023, before recovering steadily throughout 2024 and into mid-2025, surpassing previous highs and approaching 5.17 million by June 2025. This pattern suggests some external or operational challenges during 2023, followed by a strong recovery phase.
Working Capital Turnover Ratio
The working capital turnover ratio, absent for earlier periods, is available starting mid-2020 and shows a general upward trend from 1.31, gradually increasing to over 2.32 by June 2025. The ratio peaked close to 2.23 in December 2021, dipped slightly afterwards, but began to rise again from late 2023 onward, indicating an improving efficiency in generating revenue from working capital over time. Despite some fluctuations, the overall trend signifies enhanced management effectiveness in utilizing working capital to drive sales.
Summary of Trends
There is a positive long-term trend in both revenue and working capital, although a distinct dip in revenue occurred during 2023. The working capital turnover ratio improvement alongside revenue growth generally reflects better operational efficiency. The dip in revenue during 2023 is not directly mirrored in working capital, suggesting possible inventory adjustments or changes in current liabilities. Post-2023 data indicate a recovery phase characterized by rising revenue and working capital turnover, pointing toward stabilizing business performance and efficient resource utilization.

Average Inventory Processing Period

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

Microsoft Excel
Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019
Selected Financial Data
Inventory turnover 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 2.86
Short-term Activity Ratio (no. days)
Average inventory processing period1 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124 126 131 135 132 128
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. 141 137 135 131 127 128 131 135 140 136 129 114 96 97 100 157 115 116 115 116 117 113 111
Applied Materials Inc. 144 142 139 139 144 148 147 148 149 152 157 157 151 140 131 129 130 138 143 150 159 157 150
Broadcom Inc. 40 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
KLA Corp. 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211 207 202 207 206 195
Micron Technology Inc. 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101 95 98 106 133 138
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: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-Q (reporting date: 2024-09-29), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-24), 10-Q (reporting date: 2023-09-24), 10-K (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-Q (reporting date: 2022-09-25), 10-K (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-Q (reporting date: 2021-09-26), 10-K (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27), 10-Q (reporting date: 2020-09-27), 10-K (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-Q (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29).

1 Q4 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.20 = 166

2 Click competitor name to see calculations.


Over the observed periods, inventory turnover exhibits a clear downward trend followed by a recent recovery. Starting at a turnover ratio of 2.86, the ratio marginally declines through several quarters, reaching a low point near 1.75 to 1.77 between March 2024 and June 2024. Subsequently, there is an upward movement, rising to about 2.20 by June 2025. This pattern suggests an initial gradual reduction in the frequency with which inventory is sold and replaced, potentially indicating slower sales or increased inventory levels, followed by improved inventory management or increased sales activity towards the end of the period.

Parallel to the inventory turnover, the average inventory processing period, measured in days, shows an inverse pattern consistent with the turnover trend. Starting at 128 days, the number of days steadily increases, peaking at approximately 208 days around March and June 2024. This rise indicates that inventory remains on hand for longer periods, implying either slower movement of goods or accumulation of stock. Following this peak, a reduction is observed, with the processing period decreasing to 166 days by June 2025, aligning with the recovery noted in the turnover ratio.

Inventory Turnover
Demonstrates a decline over the majority of the periods analyzed, from approximately 2.86 to a low near 1.75, suggesting slower inventory movement or increased stock levels. The latter periods show a recovery trend, rising back to around 2.20.
Average Inventory Processing Period
Increases progressively from 128 days to a peak around 208 days, indicating longer durations of inventory holding. This is followed by a decrease to 166 days in the most recent period, reflecting improved efficiency or faster inventory turnover.

These inverse but complementary trends between inventory turnover and average inventory processing period are typical and coherent, as an increase in days inventory is held implies a decrease in turnover ratio, and vice versa. The data indicate that the company experienced a period of slower inventory movement or buildup, which may have implications for cash flow and inventory management strategies, but has recently improved inventory efficiency.


Average Receivable Collection Period

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

Microsoft Excel
Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019
Selected Financial Data
Receivables turnover 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 4.79
Short-term Activity Ratio (no. days)
Average receivable collection period1 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79 76 77 89 77 76
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. 55 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. 74 80 79 70 68 66 65 71 72 76 75 86 72 72 67 78 65 62 61 63 63 62 65
Broadcom Inc. 40 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
KLA Corp. 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72 69 68 73 63 70
Micron Technology Inc. 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65 70 61 52 61 67
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: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-Q (reporting date: 2024-09-29), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-24), 10-Q (reporting date: 2023-09-24), 10-K (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-Q (reporting date: 2022-09-25), 10-K (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-Q (reporting date: 2021-09-26), 10-K (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27), 10-Q (reporting date: 2020-09-27), 10-K (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-Q (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29).

1 Q4 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.46 = 67

2 Click competitor name to see calculations.


Receivables Turnover Ratio
The receivables turnover ratio, starting from a value of 4.79 in June 2020, exhibits moderate fluctuations over the observed periods. Initially, there was a decline reaching a low near 3.94 by September 2022. Subsequently, a notable upward trend occurred, peaking at 6.46 in March 2024. After this peak, the ratio showed a gradual decrease, stabilizing around the 5.3 to 5.5 range in the most recent quarters up to June 2025.
Average Receivable Collection Period (Days)
The average collection period in days inversely aligns with the receivables turnover ratio. Beginning at 76 days in June 2020, the period increased, reaching a maximum of 93 days in September 2022, indicating slower collection during this timeframe. Following this peak, the collection period improved significantly, dropping to 56 days by March 2024. Around the latest quarters, it edged upward slightly, settling near the high 60s to low 70s range between March and June 2025.
Overall Pattern and Insights
The data indicates a period of declining efficiency in receivables management from mid-2020 to late 2022, marked by decreasing turnover ratios and lengthening collection periods. This suggests that the company faced challenges in collecting receivables promptly during this interval. From late 2022 onward, there is evidence of a recovery in operational efficiency, with improved turnover ratios and shortened collection periods, pointing to enhanced credit and collection practices. The slight recent uptick in collection days and modest decline in turnover ratio may warrant continued monitoring to ensure sustained improvement.

Operating Cycle

Lam Research Corp., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019
Selected Financial Data
Average inventory processing period 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124 126 131 135 132 128
Average receivable collection period 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79 76 77 89 77 76
Short-term Activity Ratio
Operating cycle1 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203 202 208 224 209 204
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. 196 188 182 183 169 163 169 179 186 182 176 169 153 157 171 230 161 164 167 164 162 152 148
Applied Materials Inc. 218 222 218 209 212 214 212 219 221 228 232 243 223 212 198 207 195 200 204 213 222 219 215
Broadcom Inc. 80 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
KLA Corp. 315 321 333 345 350 345 355 325 310 304 304 299 290 282 285 283 276 270 280 269 265
Micron Technology Inc. 226 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166 165 159 158 194 205
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: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-Q (reporting date: 2024-09-29), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-24), 10-Q (reporting date: 2023-09-24), 10-K (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-Q (reporting date: 2022-09-25), 10-K (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-Q (reporting date: 2021-09-26), 10-K (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27), 10-Q (reporting date: 2020-09-27), 10-K (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-Q (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29).

1 Q4 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 166 + 67 = 233

2 Click competitor name to see calculations.


The financial data demonstrates several noteworthy trends in the company's operational efficiency metrics over the observed periods.

Average Inventory Processing Period
This metric shows an initial presence from the fourth reported period onward, starting at 128 days. Generally, there is an upward trend with fluctuations, peaking around 208 days in the twentieth period. Following this peak, a modest decline is noticeable, bringing the period down to 166 days by the last reported quarter. This indicates increasing inventory holding times over several years, suggesting either longer production cycles or slower inventory turnover, followed by a slight improvement in more recent quarters.
Average Receivable Collection Period
The receivable collection period displays variability without a clear long-term upward or downward trend. It starts at 76 days, increases to a peak of 93 days, then declines significantly to as low as 56 days before exhibiting moderate fluctuations around the 60-70 days range. This pattern suggests periodic challenges in receivables management, interspersed with phases of improved collection efficiency.
Operating Cycle
The operating cycle, which combines inventory processing and receivable collection periods, shows a consistent upward movement from 204 days to a maximum of 275 days, indicating an elongation in the overall cash conversion cycle. After reaching this peak, the cycle stabilizes somewhat, oscillating around the 250-260 day mark before a slight reduction to 233 days by the latest period. This trend reflects extended working capital tied up in operations over time, with some recent improvement.

In summary, the lengthening average inventory processing period is a key driver of the increased operating cycle, while the average receivable collection period contributes with moderate variability. The recent declines in both inventory days and operating cycle suggest ongoing efforts to enhance operational efficiency and cash flow management have begun to take effect.


Average Payables Payment Period

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

Microsoft Excel
Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019
Selected Financial Data
Payables turnover 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 9.18
Short-term Activity Ratio (no. days)
Average payables payment period1 33 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36 39 39 41 41 40
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. 43 39 34 44 38 37 33 41 48 47 45 47 43 41 45 58 47 50 42 43 41 37 40
Broadcom Inc. 26 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
KLA Corp. 35 34 36 33 33 33 35 32 32 35 47 46 45 46 43 47 45 41 38 38 39
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: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-Q (reporting date: 2024-09-29), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-24), 10-Q (reporting date: 2023-09-24), 10-K (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-Q (reporting date: 2022-09-25), 10-K (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-Q (reporting date: 2021-09-26), 10-K (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27), 10-Q (reporting date: 2020-09-27), 10-K (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-Q (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29).

1 Q4 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 11.07 = 33

2 Click competitor name to see calculations.


Payables Turnover Ratio
The payables turnover ratio data begins from September 27, 2020, indicating a fluctuating pattern over the observed periods. Initially, the ratio shows a decline from 9.18 to 8.52 by September 25, 2022. Subsequently, there is a sharp increase reaching a peak at 20.5 by March 26, 2023. After this peak, the ratio steadily decreases, stabilizing in the 10-15 range towards the end of the dataset. This signifies that the frequency of payables payment increased sharply at one point but eventually moderated to more consistent levels.
Average Payables Payment Period (in days)
The average payables payment period inversely mirrors the payables turnover trend. It starts at 40 days on September 27, 2020, gradually increasing to 43 days by September 25, 2022. Then, coinciding with the sharp rise in the payables turnover ratio, the payment period abruptly drops to 18 days by March 26, 2023, indicating faster payment cycles. Following this, the period rises again, stabilizing around the low 30s days by mid-2025. This suggests a return to longer payment periods after the rapid payment phase.
Overall Observations
The data reveals a dynamic payables management strategy with a significant shift occurring around late 2022 to early 2023. Before this shift, payment periods lengthened slightly, indicative of slower payments or extended credit terms. The sharp increase in turnover ratio coupled with the decrease in payment period suggests a transition to quicker settlement of payables, possibly for operational or strategic reasons. Later, these measures trend back to a more moderate level, reflecting a stabilization in payable management practices.

Cash Conversion Cycle

Lam Research Corp., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Jun 29, 2025 Mar 30, 2025 Dec 29, 2024 Sep 29, 2024 Jun 30, 2024 Mar 31, 2024 Dec 24, 2023 Sep 24, 2023 Jun 25, 2023 Mar 26, 2023 Dec 25, 2022 Sep 25, 2022 Jun 26, 2022 Mar 27, 2022 Dec 26, 2021 Sep 26, 2021 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020 Jun 28, 2020 Mar 29, 2020 Dec 29, 2019 Sep 29, 2019
Selected Financial Data
Average inventory processing period 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124 126 131 135 132 128
Average receivable collection period 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79 76 77 89 77 76
Average payables payment period 33 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36 39 39 41 41 40
Short-term Activity Ratio
Cash conversion cycle1 200 217 226 226 229 238 252 241 223 213 215 213 207 180 162 167 163 169 183 168 164
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. 153 149 148 139 131 126 136 138 138 135 131 122 110 116 126 172 114 114 125 121 121 115 108
Broadcom Inc. 54 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
KLA Corp. 280 287 297 312 317 312 320 293 278 269 257 253 245 236 242 236 231 229 242 231 226
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: 2025-06-29), 10-Q (reporting date: 2025-03-30), 10-Q (reporting date: 2024-12-29), 10-Q (reporting date: 2024-09-29), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-24), 10-Q (reporting date: 2023-09-24), 10-K (reporting date: 2023-06-25), 10-Q (reporting date: 2023-03-26), 10-Q (reporting date: 2022-12-25), 10-Q (reporting date: 2022-09-25), 10-K (reporting date: 2022-06-26), 10-Q (reporting date: 2022-03-27), 10-Q (reporting date: 2021-12-26), 10-Q (reporting date: 2021-09-26), 10-K (reporting date: 2021-06-27), 10-Q (reporting date: 2021-03-28), 10-Q (reporting date: 2020-12-27), 10-Q (reporting date: 2020-09-27), 10-K (reporting date: 2020-06-28), 10-Q (reporting date: 2020-03-29), 10-Q (reporting date: 2019-12-29), 10-Q (reporting date: 2019-09-29).

1 Q4 2025 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 166 + 6733 = 200

2 Click competitor name to see calculations.


Average Inventory Processing Period
The average inventory processing period exhibits a generally increasing trend over the measured quarters. Starting from 128 days around September 2020, the period extends steadily, reaching a peak of 208 days by September 2024. Subsequently, there is a gradual decline down to 166 days by June 2025. This suggests a lengthening in the time inventory remains in the system for most of the period, with some improvement seen in the latest quarters.
Average Receivable Collection Period
Receivable collection periods show more variability but with an overall downward tendency from the earlier peaks. Initially fluctuating between 75 and 93 days during 2020 to 2022, the cycle shortens significantly to 59 days by June 2023. After this low point, the period modestly increases but remains below previous highs, stabilizing around the mid-60s to low 70s days toward mid-2025. This indicates a more efficient collection process after 2022 with minor fluctuations thereafter.
Average Payables Payment Period
The payables payment period reduces noticeably from the higher 30s and low 40s days range seen in 2020 through early 2022, reaching a low around 18 days in March 2023. After this trough, there is a gradual increase, stabilizing around the low to mid-30s by 2025. This pattern suggests a shift to faster payments for a significant period, followed by a moderation toward more balanced payment timings.
Cash Conversion Cycle
The cash conversion cycle generally trends upward from 164 days in September 2020 to a peak of 252 days around September 2024. This indicates that the overall time taken from outlay of cash to cash recovery lengthened during this period. Following the peak, the cycle declines to 200 days by June 2025, reflecting some improvements in working capital management or operational efficiency in recent quarters.