Stock Analysis on Net
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 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 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
Turnover Ratios
Inventory turnover 2.69 2.71 2.56 2.43 2.20 2.00 1.95 1.95 1.86 1.75 1.77 1.84 2.00 2.14 2.16 2.24 2.36 2.60 2.89 2.95
Receivables turnover 4.35 5.25 5.89 5.39 5.46 5.31 4.90 5.31 5.92 6.46 5.29 5.63 6.17 5.78 4.68 3.94 3.99 4.52 4.86 4.64
Payables turnover 8.84 10.12 10.05 11.50 11.07 10.44 10.33 11.63 12.79 14.24 15.69 16.55 20.50 17.34 11.33 8.52 9.25 8.99 9.31 10.12
Working capital turnover 2.40 2.69 2.63 2.42 2.32 2.15 1.96 1.91 1.74 1.77 1.63 1.81 1.93 2.03 2.08 2.10 2.23 2.18 2.01 2.04
Average No. Days
Average inventory processing period 136 135 143 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124
Add: Average receivable collection period 84 70 62 68 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79
Operating cycle 220 205 205 219 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203
Less: Average payables payment period 41 36 36 32 33 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36
Cash conversion cycle 179 169 169 187 200 217 226 226 229 238 252 241 223 213 215 213 207 180 162 167

Based on: 10-K (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-Q (reporting date: 2025-09-28), 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).


The analysis of short-term operating activity reveals a cyclical trend in efficiency, characterized by a significant decline in asset turnover and an extension of the cash conversion cycle through early 2024, followed by a period of recovery and optimization.

Inventory Management Efficiency
A prolonged downward trend in inventory turnover is observed from September 2021 (2.95) to a trough in March 2024 (1.75). This decline corresponds with an increase in the average inventory processing period, which peaked at 208 days. However, a recovery phase followed, with the turnover ratio climbing back to 2.69 by June 2026 and the processing period compressing to 136 days, indicating improved inventory throughput and reduced holding times.
Receivables and Collection Performance
Receivables turnover exhibited volatility, reaching a peak of 6.46 in March 2024, which resulted in the shortest average collection period of 56 days. Following this peak, a gradual lengthening of the collection period is noted, reaching 84 days by June 2026, while the turnover ratio declined to 4.35. This suggests a recent softening in the efficiency of credit collections.
Payables and Obligations Management
A notable shift in payables management occurred between March 2023 and June 2023, where the payables turnover spiked to 20.50 and the average payment period dropped to a minimum of 18 days. This indicates a temporary acceleration of payments to suppliers. Subsequently, the payment period expanded back to 41 days by June 2026, suggesting a return to more extended credit terms with vendors.
Working Capital and Cycle Analysis
The operating cycle experienced significant expansion, peaking at 275 days in December 2023, driven primarily by the accumulation of inventory. The cash conversion cycle followed a similar trajectory, increasing from 167 days in September 2021 to a peak of 252 days in December 2023. By June 2026, the cash conversion cycle improved to 179 days, reflecting a more efficient synchronization of inventory movements and receivable collections relative to payables.
Working Capital Turnover
Working capital turnover remained relatively stable throughout the period, fluctuating between 1.63 and 2.69. The ratio reached its lowest point in December 2023, coinciding with the peak of the cash conversion cycle, and improved to 2.40 by June 2026, indicating a more effective utilization of net working capital to generate revenue.

AI Ask an analyst for more


Turnover Ratios


Average No. Days



Inventory Turnover

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

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 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
Selected Financial Data (US$ in thousands)
Cost of goods sold 3,243,498 2,930,961 2,693,629 2,639,294 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
Inventories 4,276,111 3,999,992 4,037,682 4,095,054 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
Short-term Activity Ratio
Inventory turnover1 2.69 2.71 2.56 2.43 2.20 2.00 1.95 1.95 1.86 1.75 1.77 1.84 2.00 2.14 2.16 2.24 2.36 2.60 2.89 2.95
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc. 2.28 2.31 2.21 2.27 2.32 2.16 2.28 2.33 2.44 2.61 2.81 2.74 2.70 3.05 3.45 3.62 4.24 4.00
Analog Devices Inc. 2.45 2.47 2.56 2.59 2.66 2.71 2.79 2.86 2.84 2.80 2.70 2.61 2.68 2.84 3.20 3.82 3.78 3.66
Applied Materials Inc. 2.34 2.41 2.46 2.54 2.58 2.63 2.63 2.54 2.46 2.49 2.47 2.45 2.41 2.32 2.33 2.42 2.60 2.79
Broadcom Inc. 5.53 7.42 9.07 9.12 9.59 10.09 10.83 8.92 8.09 6.67 5.86 6.10 6.00 5.98 5.77 5.92 6.40 6.95
Intel Corp. 2.80 2.79 2.97 3.00 3.28 2.95 2.93 2.94 2.87 2.81 2.92 2.85 2.78 2.68 2.74 2.90 3.02 2.97
KLA Corp. 1.44 1.47 1.49 1.47 1.48 1.44 1.44 1.33 1.29 1.29 1.28 1.37 1.47 1.54 1.63 1.59 1.67 1.71 1.75 1.73
Micron Technology Inc. 2.89 2.92 2.82 2.69 2.44 2.27 2.31 2.20 2.22 2.18 2.24 2.02 2.01 2.06 1.91 2.53 3.06 3.14 3.60
NVIDIA Corp. 2.92 2.83 3.33 3.92 3.24 3.57 3.47 3.36 3.15 2.83 2.68 2.45 2.25 2.70 3.02 3.25 3.62 3.87 3.75 3.63
Qualcomm Inc. 2.41 2.73 3.02 3.02 3.02 3.02 2.84 2.66 2.74 2.64 2.58 2.47 2.54 2.61 2.65 2.94 3.27 3.58 3.90
Texas Instruments Inc. 1.76 1.68 1.58 1.52 1.45 1.44 1.45 1.51 1.59 1.60 1.63 1.65 1.70 1.92 2.27 2.56 2.74 2.88

Based on: 10-K (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-Q (reporting date: 2025-09-28), 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).

1 Q4 2026 Calculation
Inventory turnover = (Cost of goods soldQ4 2026 + Cost of goods soldQ3 2026 + Cost of goods soldQ2 2026 + Cost of goods soldQ1 2026) ÷ Inventories
= (3,243,498 + 2,930,961 + 2,693,629 + 2,639,294) ÷ 4,276,111 = 2.69

2 Click competitor name to see calculations.


Analysis of operating activity reveals a distinct U-shaped trajectory in inventory efficiency over the analyzed period, characterized by a prolonged decline in turnover followed by a sustained recovery phase.

Inventory Turnover Trend
The inventory turnover ratio experienced a consistent contraction from a high of 2.95 in September 2021 to a trough of 1.75 in March 2024. This downward trend indicates a period where inventory accumulation significantly outpaced the movement of goods. Following this low point, a recovery phase emerged, with the ratio improving steadily to a peak of 2.71 by March 2026, before a marginal correction to 2.69 in June 2026.
Inventory Accumulation and Cost of Goods Sold (COGS) Divergence
A substantial increase in inventory assets is observed between September 2021 and March 2023, with levels rising from 2.87 billion to 4.88 billion. During this timeframe, the cost of goods sold exhibited volatility, peaking at 2.90 billion in December 2022 before dropping sharply to 1.75 billion by June 2023. This divergence—rising stock levels paired with declining or stagnant COGS—was the primary driver of the deteriorating turnover ratio during the first half of the period.
Operational Recovery and Efficiency Gains
Starting in March 2024, a trend of improved operational efficiency is evident. Inventory levels were managed downward, decreasing from 4.32 billion in March 2024 to 3.99 billion in March 2026. Concurrently, the cost of goods sold entered a phase of consistent growth, rising from 1.99 billion in March 2024 to 3.24 billion by June 2026. The synchronization of leaner inventory levels and increased sales throughput resulted in the observed rebound of the turnover ratio.

AI Ask an analyst for more



Receivables Turnover

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

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 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
Selected Financial Data (US$ in thousands)
Revenue 6,722,238 5,841,488 5,344,791 5,324,173 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
Accounts receivable, less allowance 5,339,682 4,132,890 3,491,987 3,633,034 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
Short-term Activity Ratio
Receivables turnover1 4.35 5.25 5.89 5.39 5.46 5.31 4.90 5.31 5.92 6.46 5.29 5.63 6.17 5.78 4.68 3.94 3.99 4.52 4.86 4.64
Benchmarks
Receivables Turnover, Competitors2
Advanced Micro Devices Inc. 5.67 6.21 5.49 5.16 5.79 5.10 4.16 3.36 4.05 4.53 4.22 4.37 5.07 5.71 5.72 5.26 5.33 5.13
Analog Devices Inc. 6.21 8.64 7.67 6.69 7.10 7.83 7.05 8.61 10.42 9.67 8.37 7.94 7.96 7.72 6.67 6.37 6.07 5.16
Applied Materials Inc. 4.55 5.67 5.47 4.96 4.54 4.61 5.19 5.40 5.55 5.64 5.13 5.08 4.83 4.88 4.25 5.08 5.09 5.49
Broadcom Inc. 6.97 8.07 8.94 9.23 10.25 11.00 11.68 10.04 7.75 7.82 11.36 12.17 11.56 10.64 11.22 11.70 9.73 11.23
Intel Corp. 14.14 13.22 13.77 16.69 22.49 17.31 15.27 17.38 17.60 16.62 15.94 18.59 18.04 14.66 15.26 9.31 12.11 10.98
KLA Corp. 4.70 5.68 6.15 5.50 5.37 5.35 4.65 5.25 5.35 5.91 5.25 6.24 5.99 5.48 4.59 5.30 5.08 5.34 4.72 5.10
Micron Technology Inc. 2.91 3.36 4.15 4.03 4.55 4.82 3.92 3.80 4.17 4.26 5.50 6.36 7.48 10.12 8.18 6.00 5.20 5.79 5.64
NVIDIA Corp. 5.61 5.60 5.94 6.71 5.66 6.40 6.81 6.45 6.09 5.40 4.63 6.34 7.05 5.82 5.59 5.43 5.79 6.14 6.11 6.37
Texas Instruments Inc. 7.72 8.21 9.01 8.37 8.62 8.63 9.10 8.44 9.41 10.05 9.80 9.17 9.62 10.39 10.57 9.90 8.95 10.56

Based on: 10-K (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-Q (reporting date: 2025-09-28), 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).

1 Q4 2026 Calculation
Receivables turnover = (RevenueQ4 2026 + RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026) ÷ Accounts receivable, less allowance
= (6,722,238 + 5,841,488 + 5,344,791 + 5,324,173) ÷ 5,339,682 = 4.35

2 Click competitor name to see calculations.


The analysis of receivables turnover over the observed period reveals a cyclical pattern where collection efficiency fluctuates in relation to revenue growth and contraction. The turnover ratio demonstrates significant volatility, peaking during periods of revenue decline and generally softening during phases of aggressive sales expansion.

Initial Growth and Efficiency Decline (September 2021 – September 2022)
During this period, revenue increased from 4.3 billion to 5.07 billion. However, accounts receivable grew at a faster relative pace, rising from approximately 3.4 billion to 4.57 billion. This imbalance resulted in a downward trend in the receivables turnover ratio, which declined from 4.64 to a low of 3.94, indicating a slowing of the cash conversion cycle as sales expanded.
Revenue Contraction and Peak Collection Efficiency (December 2022 – March 2024)
A notable shift occurred as revenue contracted, reaching a low of 3.21 billion in June 2023. Simultaneously, accounts receivable were reduced significantly, dropping to a period low of 2.20 billion by March 2024. This phase saw the highest levels of operational efficiency regarding receivables, with the turnover ratio peaking at 6.46 in March 2024. The inverse correlation suggests that the organization tightened credit terms or intensified collection efforts during the revenue downturn.
Rapid Expansion and Subsequent Turnover Compression (June 2024 – June 2026)
In the final phase, revenue entered a strong growth trajectory, climbing from 3.87 billion in June 2024 to 6.72 billion by June 2026. While revenue increased, accounts receivable surged from 2.52 billion to 5.34 billion. This growth in outstanding receivables outpaced the revenue gains, causing the turnover ratio to trend downward from 5.92 to 4.35. This pattern suggests that rapid scaling of sales volume has led to a relative decrease in the speed of receivable collections.
Correlation between Revenue Volume and Asset Liquidity
The data indicates a recurring relationship where higher revenue peaks are associated with lower turnover ratios. Specifically, the period ending June 2026 shows the highest revenue levels alongside one of the lowest turnover ratios in the dataset. This suggests that as the scale of operations increases, the company experiences a proportional increase in the duration of its outstanding receivables, potentially impacting short-term liquidity.

AI Ask an analyst for more



Payables Turnover

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

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 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
Selected Financial Data (US$ in thousands)
Cost of goods sold 3,243,498 2,930,961 2,693,629 2,639,294 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
Trade accounts payable 1,302,467 1,071,605 1,026,937 863,160 854,208 853,308 822,278 704,247 613,966 531,648 499,704 528,163 470,702 601,930 919,408 1,146,286 1,011,208 1,007,026 952,666 837,708
Short-term Activity Ratio
Payables turnover1 8.84 10.12 10.05 11.50 11.07 10.44 10.33 11.63 12.79 14.24 15.69 16.55 20.50 17.34 11.33 8.52 9.25 8.99 9.31 10.12
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc. 3.61 6.21 5.97 4.76 5.03 6.28 5.30 4.19 5.75 6.54 5.05 4.73 3.98 4.50 4.40 4.46 5.97 5.78
Analog Devices Inc. 7.56 7.96 7.81 8.43 9.43 10.84 8.30 9.63 9.94 10.91 8.98 7.62 7.76 8.09 7.70 8.43 9.01 8.17
Broadcom Inc. 10.24 10.41 13.20 13.88 14.92 10.10 11.47 9.62 10.34 8.56 9.20 11.34 13.62 12.31 11.13 15.27 9.98 9.80
Intel Corp. 4.00 4.85 3.49 3.35 3.49 3.33 2.85 3.20 3.36 3.78 3.79 3.77 3.81 4.30 3.77 5.21 4.63 4.92
KLA Corp. 8.43 9.80 11.52 11.28 10.36 10.61 10.10 10.97 10.93 10.94 10.33 11.34 11.37 10.30 7.77 7.96 8.10 7.98 8.43 7.79
NVIDIA Corp. 6.37 6.50 5.50 6.06 5.17 5.11 6.29 7.26 6.16 5.68 5.99 9.91 9.74 8.08 4.86 5.13 5.29 5.19 5.38 5.94
Qualcomm Inc. 6.96 6.76 7.44 7.07 8.20 7.56 6.94 6.60 6.37 6.95 7.52 8.30 9.67 12.50 7.17 4.91 4.72 4.37 4.28
Texas Instruments Inc. 11.92 12.33 10.05 9.42 7.94 7.78 7.98 8.19 7.62 11.89 8.10 9.03 6.87 6.63 7.35 7.89 8.46 9.27

Based on: 10-K (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-Q (reporting date: 2025-09-28), 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).

1 Q4 2026 Calculation
Payables turnover = (Cost of goods soldQ4 2026 + Cost of goods soldQ3 2026 + Cost of goods soldQ2 2026 + Cost of goods soldQ1 2026) ÷ Trade accounts payable
= (3,243,498 + 2,930,961 + 2,693,629 + 2,639,294) ÷ 1,302,467 = 8.84

2 Click competitor name to see calculations.


The payables turnover ratio demonstrates a period of relative stability followed by a significant spike in turnover efficiency and a subsequent gradual normalization over the analyzed timeframe. The ratio fluctuated from a low of 8.52 to a peak of 20.50, reflecting substantial changes in how trade liabilities were managed relative to the cost of goods sold.

Initial Stability and Moderate Decline (September 2021 – September 2022)
During the first year of the period, the payables turnover ratio remained relatively consistent, moving from 10.12 to 8.52. This phase was characterized by a steady increase in trade accounts payable, which grew from 837.7 million USD to 1.146 billion USD, while cost of goods sold saw a gradual upward trend. This indicates a period where liabilities grew at a pace that slightly outstripped the growth in operating costs.
Acceleration and Peak Turnover (December 2022 – June 2023)
A sharp increase in the turnover ratio is observed starting in December 2022, reaching a peak of 20.50 by June 2023. This surge was driven by a dramatic reduction in trade accounts payable, which fell from 919.4 million USD in December 2022 to 470.7 million USD in June 2023. Simultaneously, the cost of goods sold reached a period low of 1.749 billion USD in June 2023. The rapid increase in the ratio suggests an accelerated settlement of supplier obligations or a significant tightening of credit terms during this window.
Normalization and Return to Baseline (September 2023 – June 2026)
Following the peak in mid-2023, the turnover ratio entered a consistent downward trend, returning to 8.84 by June 2026. This normalization is attributed to a steady recovery and expansion of trade accounts payable, which rose from 528.2 million USD in September 2023 to 1.302 billion USD by the end of the period. While the cost of goods sold also increased significantly, reaching 3.243 billion USD in June 2026, the growth in accounts payable was more pronounced, effectively lowering the turnover ratio back toward its historical baseline.

Overall, the data reveals a cyclical pattern in liability management. The company transitioned from a standard payment cycle to an exceptionally high turnover phase in 2023, before gradually shifting back to a strategy of utilizing higher trade credit to support an increasing volume of cost of goods sold.

AI Ask an analyst for more



Working Capital Turnover

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

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 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
Selected Financial Data (US$ in thousands)
Current assets 15,610,705 13,296,917 14,018,023 14,806,714 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
Less: Current liabilities 5,937,249 5,242,398 6,213,153 6,707,910 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
Working capital 9,673,456 8,054,519 7,804,870 8,098,804 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
 
Revenue 6,722,238 5,841,488 5,344,791 5,324,173 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
Short-term Activity Ratio
Working capital turnover1 2.40 2.69 2.63 2.42 2.32 2.15 1.96 1.91 1.74 1.77 1.63 1.81 1.93 2.03 2.08 2.10 2.23 2.18 2.01 2.04
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc. 2.12 2.07 1.98 2.09 2.02 2.00 2.19 2.16 2.07 2.15 2.25 2.44 2.45 2.54 2.73 2.95 2.72 2.42
Analog Devices Inc. 3.80 3.59 2.85 2.63 3.39 3.38 3.78 4.38 5.52 7.75 10.40 6.41 6.13 4.61 4.81 4.94 4.23 3.50
Applied Materials Inc. 2.14 2.12 2.20 2.42 2.40 2.13 2.13 2.00 2.14 2.19 2.25 2.49 2.69 2.77 3.02 2.93 2.89 2.56
Broadcom Inc. 3.23 4.49 4.89 7.23 36.01 681.61 17.80 64.48 8.31 5.70 2.66 3.23 3.38 3.03 2.90 3.58 3.80 3.15
Intel Corp. 2.65 1.52 1.65 2.75 6.31 5.33 4.55 4.94 2.93 3.59 3.56 3.48 3.34 2.70 3.45 3.24 3.14 2.34
KLA Corp. 1.68 1.72 1.75 1.83 1.84 1.91 1.93 1.89 1.83 1.89 2.31 2.20 2.27 2.31 2.25 2.19 2.14 2.30 2.08 2.06
Micron Technology Inc. 1.91 2.14 2.40 2.15 1.90 1.86 1.88 1.66 1.30 1.07 1.07 0.94 1.09 1.39 1.66 2.16 2.06 2.14 2.17
NVIDIA Corp. 2.31 2.07 2.12 2.34 2.10 2.21 2.11 2.07 1.81 1.90 1.77 1.47 1.63 1.75 1.50 1.23 1.10 1.09 1.03 1.36
Qualcomm Inc. 3.80 3.33 3.03 2.67 2.53 2.56 2.53 2.65 2.75 2.41 2.54 2.79 3.21 3.66 3.90 4.99 5.88 4.80 4.53
Texas Instruments Inc. 1.55 1.72 1.67 1.60 1.39 1.51 1.37 1.29 1.22 1.21 1.48 1.46 1.47 1.61 1.81 1.84 1.87 1.65

Based on: 10-K (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-Q (reporting date: 2025-09-28), 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).

1 Q4 2026 Calculation
Working capital turnover = (RevenueQ4 2026 + RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026) ÷ Working capital
= (6,722,238 + 5,841,488 + 5,344,791 + 5,324,173) ÷ 9,673,456 = 2.40

2 Click competitor name to see calculations.


The working capital turnover ratio demonstrates a cyclical trend over the observed period, reflecting significant fluctuations in revenue relative to short-term asset and liability management. The ratio experienced an initial period of stability, followed by a notable contraction, and concluded with a strong recovery and subsequent optimization phase.

Revenue-Driven Efficiency Fluctuations
Between September 2021 and December 2022, the turnover ratio remained relatively consistent, oscillating between 2.01 and 2.23. This stability coincided with a period of revenue growth. However, a significant decline in revenue starting in March 2023, which bottomed at 3.21 billion in June 2023, led to a contraction in turnover efficiency. The ratio reached its lowest point of 1.63 in December 2023, indicating that working capital was less effectively utilized to generate sales during this downturn.
Recovery and Operational Optimization
From March 2024 through March 2026, a consistent upward trend in working capital turnover is observed. This improvement was driven by a sustained recovery in revenue, which climbed from 3.79 billion in March 2024 to 5.84 billion in March 2026. The turnover ratio peaked at 2.69 in March 2026, representing the highest level of operational efficiency across the analyzed timeframe.
Recent Working Capital Dynamics
In the final quarter ending June 2026, the turnover ratio decreased to 2.40 despite revenue continuing to rise to 6.72 billion. This decline is attributable to a sharp increase in working capital, which rose to 9.67 billion, the highest level recorded in the data set. This suggests a strategic expansion of short-term assets or a shift in liability structure that slightly offset the gains in revenue growth.

AI Ask an analyst for more



Average Inventory Processing Period

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

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 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
Selected Financial Data
Inventory turnover 2.69 2.71 2.56 2.43 2.20 2.00 1.95 1.95 1.86 1.75 1.77 1.84 2.00 2.14 2.16 2.24 2.36 2.60 2.89 2.95
Short-term Activity Ratio (no. days)
Average inventory processing period1 136 135 143 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Advanced Micro Devices Inc. 160 158 165 161 157 169 160 156 149 140 130 133 135 120 106 101 86 91
Analog Devices Inc. 149 148 142 141 137 135 131 127 128 131 135 140 136 129 114 96 97 100
Applied Materials Inc. 156 151 148 144 142 139 139 144 148 147 148 149 152 157 157 151 140 131
Broadcom Inc. 66 49 40 40 38 36 34 41 45 55 62 60 61 61 63 62 57 53
Intel Corp. 130 131 123 122 111 124 125 124 127 130 125 128 131 136 133 126 121 123
KLA Corp. 253 248 245 248 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211
Micron Technology Inc. 126 125 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101
NVIDIA Corp. 125 129 110 93 113 102 105 109 116 129 136 149 162 135 121 112 101 94 97 100
Qualcomm Inc. 152 134 121 121 121 121 128 137 133 138 141 148 144 140 138 124 112 102 93
Texas Instruments Inc. 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127

Based on: 10-K (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-Q (reporting date: 2025-09-28), 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).

1 Q4 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.69 = 136

2 Click competitor name to see calculations.


The analysis of inventory efficiency metrics reveals a clear cyclical trend, characterized by a prolonged period of declining operational efficiency followed by a steady recovery phase beginning in the second quarter of 2024.

Inventory Turnover Trends
A consistent downward trajectory in inventory turnover is observed from September 2021, where the ratio stood at 2.95, reaching a trough of 1.75 in March 2024. This decline indicates a slowing rate of inventory replacement and a potential increase in unsold stock relative to the cost of goods sold. Following this low point, a recovery phase is evident, with the ratio climbing steadily to 2.69 by June 2026, signaling a return toward historical efficiency levels.
Average Inventory Processing Period
The average inventory processing period mirrors the turnover trend with an inverse correlation. The period extended from 124 days in September 2021 to a peak of 208 days in March 2024, representing a significant increase in the time required to convert inventory into sales. From April 2024 onward, a contraction in the processing period is observed, with the duration decreasing to 136 days by June 2026.
Operational Implications
The synchronization between the rising processing period and falling turnover through early 2024 suggests a period of inventory accumulation or reduced demand. The subsequent reversal of these trends indicates improved inventory management, faster product throughput, and enhanced liquidity within the operating cycle during the 2024 to 2026 period.

AI Ask an analyst for more



Average Receivable Collection Period

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

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 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
Selected Financial Data
Receivables turnover 4.35 5.25 5.89 5.39 5.46 5.31 4.90 5.31 5.92 6.46 5.29 5.63 6.17 5.78 4.68 3.94 3.99 4.52 4.86 4.64
Short-term Activity Ratio (no. days)
Average receivable collection period1 84 70 62 68 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Advanced Micro Devices Inc. 64 59 67 71 63 72 88 109 90 81 87 83 72 64 64 69 69 71
Analog Devices Inc. 59 42 48 55 51 47 52 42 35 38 44 46 46 47 55 57 60 71
Applied Materials Inc. 80 64 67 74 80 79 70 68 66 65 71 72 76 75 86 72 72 67
Broadcom Inc. 52 45 41 40 36 33 31 36 47 47 32 30 32 34 33 31 38 33
Intel Corp. 26 28 27 22 16 21 24 21 21 22 23 20 20 25 24 39 30 33
KLA Corp. 78 64 59 66 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72
Micron Technology Inc. 125 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65
NVIDIA Corp. 65 65 61 54 65 57 54 57 60 68 79 58 52 63 65 67 63 59 60 57
Texas Instruments Inc. 47 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35

Based on: 10-K (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-Q (reporting date: 2025-09-28), 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).

1 Q4 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 4.35 = 84

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a cyclical pattern in the efficiency of receivable collections over the observed period. The collection cycle experienced an initial expansion, followed by a period of significant optimization, and a subsequent gradual return to higher collection durations.

Average Receivable Collection Period
A peak in the collection period occurred in September 2022, reaching 93 days. This marked the point of lowest efficiency in the cycle. Following this peak, a consistent reduction in collection time was observed, culminating in a period low of 56 days by March 2024. However, from June 2024 through June 2026, the collection period exhibited a steady upward trend, ending at 84 days, which suggests a gradual extension of the time required to convert receivables into cash.
Receivables Turnover
The turnover ratio mirrored the inverse movement of the collection period. The ratio declined to a low of 3.94 in September 2022, coinciding with the maximum collection period. Efficiency improved substantially between December 2022 and March 2024, reaching a peak turnover of 6.46. A subsequent downward trend was noted from June 2024 onward, with the ratio falling to 4.35 by June 2026, indicating a decrease in the velocity of receivable turnovers.
Operational Efficiency Trends
The data demonstrates a strong inverse correlation between the turnover ratio and the collection period. The window between early 2023 and early 2024 represented the highest level of operational efficiency in managing short-term receivables. The trend observed toward mid-2026 suggests a regression toward the baseline collection levels seen in 2021, indicating a potential shift in credit policies or a change in customer payment behavior.

AI Ask an analyst for more



Operating Cycle

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

No. days

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 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
Selected Financial Data
Average inventory processing period 136 135 143 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124
Average receivable collection period 84 70 62 68 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79
Short-term Activity Ratio
Operating cycle1 220 205 205 219 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203
Benchmarks
Operating Cycle, Competitors2
Advanced Micro Devices Inc. 224 217 232 232 220 241 248 265 239 221 217 216 207 184 170 170 155 162
Analog Devices Inc. 208 190 190 196 188 182 183 169 163 169 179 186 182 176 169 153 157 171
Applied Materials Inc. 236 215 215 218 222 218 209 212 214 212 219 221 228 232 243 223 212 198
Broadcom Inc. 118 94 81 80 74 69 65 77 92 102 94 90 93 95 96 93 95 86
Intel Corp. 156 159 150 144 127 145 149 145 148 152 148 148 151 161 157 165 151 156
KLA Corp. 331 312 304 314 315 321 333 345 350 345 355 325 310 304 304 299 290 282 285 283
Micron Technology Inc. 251 234 217 226 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166
NVIDIA Corp. 190 194 171 147 178 159 159 166 176 197 215 207 214 198 186 179 164 153 157 157
Texas Instruments Inc. 254 262 272 284 293 296 292 284 268 264 262 262 253 225 196 180 174 162

Based on: 10-K (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-Q (reporting date: 2025-09-28), 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).

1 Q4 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 136 + 84 = 220

2 Click competitor name to see calculations.


The operating cycle exhibits significant volatility over the analyzed period, characterized by a prolonged expansion phase followed by a gradual contraction. The total duration of the cycle reached its peak in late 2023 before trending downward, driven primarily by shifts in inventory management efficiency.

Average Inventory Processing Period
A sustained upward trend is observed from September 2021, where the period stood at 124 days, peaking at 208 days in March 2024. This indicates a substantial increase in the time required to convert raw materials and work-in-progress into finished goods. Following this peak, a consistent decline occurred, with the period reducing to 136 days by June 2026, suggesting an improvement in inventory turnover and supply chain optimization.
Average Receivable Collection Period
The collection period demonstrates a fluctuating pattern with no singular linear trend. An initial rise to 93 days in September 2022 was followed by a period of increased efficiency, reaching a low of 56 days in March 2024. However, the most recent quarters show a gradual increase, climbing to 84 days by June 2026, which indicates a slight deceleration in the conversion of receivables into cash.
Overall Operating Cycle
The total operating cycle reflects the combined impact of inventory and receivable durations. The cycle lengthened from 203 days in September 2021 to a maximum of 275 days in December 2023. The subsequent reduction to 220 days by June 2026 was heavily influenced by the sharp decrease in the inventory processing period, which offset the modest increase in the receivable collection period during the final year of the analysis.

Overall, the operational efficiency experienced a notable decline between 2021 and 2023 due to inventory buildup, but regained momentum through 2025 and 2026. The current trend suggests a return toward historical norms in inventory handling, although the rising collection period warrants monitoring to ensure liquidity is not constrained.

AI Ask an analyst for more



Average Payables Payment Period

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

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 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
Selected Financial Data
Payables turnover 8.84 10.12 10.05 11.50 11.07 10.44 10.33 11.63 12.79 14.24 15.69 16.55 20.50 17.34 11.33 8.52 9.25 8.99 9.31 10.12
Short-term Activity Ratio (no. days)
Average payables payment period1 41 36 36 32 33 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Advanced Micro Devices Inc. 101 59 61 77 73 58 69 87 63 56 72 77 92 81 83 82 61 63
Analog Devices Inc. 48 46 47 43 39 34 44 38 37 33 41 48 47 45 47 43 41 45
Broadcom Inc. 36 35 28 26 24 36 32 38 35 43 40 32 27 30 33 24 37 37
Intel Corp. 91 75 105 109 104 110 128 114 109 97 96 97 96 85 97 70 79 74
KLA Corp. 43 37 32 32 35 34 36 33 33 33 35 32 32 35 47 46 45 46 43 47
NVIDIA Corp. 57 56 66 60 71 71 58 50 59 64 61 37 37 45 75 71 69 70 68 61
Qualcomm Inc. 52 54 49 52 44 48 53 55 57 52 49 44 38 29 51 74 77 83 85
Texas Instruments Inc. 31 30 36 39 46 47 46 45 48 31 45 40 53 55 50 46 43 39

Based on: 10-K (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-Q (reporting date: 2025-09-28), 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).

1 Q4 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 8.84 = 41

2 Click competitor name to see calculations.


The analysis of the operating activity ratios reveals a distinct cyclical pattern in the management of supplier obligations over the observed period. A strong inverse correlation exists between the payables turnover ratio and the average payables payment period, characterized by a period of significant acceleration in payments followed by a gradual return to historical baseline levels.

Baseline Stability Period (September 2021 – September 2022)
During the initial phase, payment terms remained relatively consistent, with the average payables payment period fluctuating between 36 and 43 days. The payables turnover ratio remained stable within a range of 8.52 to 10.12, suggesting a standardized approach to managing short-term liabilities.
Phase of Accelerated Settlement (December 2022 – June 2023)
A sharp increase in payables turnover was observed, peaking at 20.50 in June 2023. This spike corresponded with a dramatic contraction in the average payables payment period, which reached a minimum of 18 days. This indicates a period of highly aggressive settlement of obligations, significantly reducing the time taken to pay suppliers.
Gradual Extension and Normalization (September 2023 – June 2026)
Following the mid-2023 low, a consistent trend toward lengthening the payment window emerged. The average payables payment period expanded steadily from 22 days in September 2023 to 41 days by June 2026. Correspondingly, the payables turnover ratio underwent a gradual decline, returning to 8.84. This trajectory suggests a strategic shift back toward optimizing working capital by extending the duration of supplier credit.

AI Ask an analyst for more



Cash Conversion Cycle

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

No. days

Microsoft Excel
Jun 28, 2026 Mar 29, 2026 Dec 28, 2025 Sep 28, 2025 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
Selected Financial Data
Average inventory processing period 136 135 143 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124
Average receivable collection period 84 70 62 68 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79
Average payables payment period 41 36 36 32 33 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36
Short-term Activity Ratio
Cash conversion cycle1 179 169 169 187 200 217 226 226 229 238 252 241 223 213 215 213 207 180 162 167
Benchmarks
Cash Conversion Cycle, Competitors2
Advanced Micro Devices Inc. 123 158 171 155 147 183 179 178 176 165 145 139 115 103 87 88 94 99
Analog Devices Inc. 160 144 143 153 149 148 139 131 126 136 138 138 135 131 122 110 116 126
Broadcom Inc. 82 59 53 54 50 33 33 39 57 59 54 58 66 65 63 69 58 49
Intel Corp. 65 84 45 35 23 35 21 31 39 55 52 51 55 76 60 95 72 82
KLA Corp. 288 275 272 282 280 287 297 312 317 312 320 293 278 269 257 253 245 236 242 236
NVIDIA Corp. 133 138 105 87 107 88 101 116 117 133 154 170 177 153 111 108 95 83 89 96
Texas Instruments Inc. 223 232 236 245 247 249 246 239 220 233 217 222 200 170 146 134 131 123

Based on: 10-K (reporting date: 2026-06-28), 10-Q (reporting date: 2026-03-29), 10-Q (reporting date: 2025-12-28), 10-Q (reporting date: 2025-09-28), 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).

1 Q4 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 136 + 8441 = 179

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a significant expansion and subsequent contraction of the cash conversion cycle between September 2021 and June 2026. The overall trend indicates a period of diminishing liquidity efficiency that peaked in late 2023, followed by a recovery phase characterized by improved inventory management.

Average Inventory Processing Period
A prolonged upward trend is observed from September 2021, where the period stood at 124 days, peaking at 208 days by March 2024. This represents a substantial increase in the time required to move inventory through the production and sales pipeline. Following this peak, a consistent downward trajectory is evident, with the period receding to 136 days by June 2026, suggesting a successful effort to optimize stock levels and increase turnover.
Average Receivable Collection Period
The collection period exhibits a fluctuating pattern. After peaking at 93 days in September 2022, a period of improvement occurred, reaching a low of 56 days in March 2024. However, a gradual increase is noted in the latter part of the period, with the collection time rising back to 84 days by June 2026, indicating a slight softening in credit collection efficiency toward the end of the observed timeframe.
Average Payables Payment Period
Payment terms remain relatively short and stable compared to the other components of the cycle. A notable dip occurred between March 2023 and December 2023, where the period dropped to a minimum of 18 days. Since then, there has been a gradual increase, returning to 41 days by June 2026. The consistently low duration of this period indicates that supplier credit provides minimal offset to the cash tied up in inventory and receivables.
Cash Conversion Cycle (CCC)
The total cash conversion cycle closely mirrors the movements of the inventory processing period. The CCC expanded from 167 days in September 2021 to a peak of 252 days in December 2023, marking the point of lowest operational liquidity. A sustained reduction followed, bringing the cycle down to 169 days by March 2026, before a slight uptick to 179 days in June 2026. The primary driver of the overall CCC volatility is identified as the inventory processing period, as the receivable and payable periods remained relatively more stable.

AI Ask an analyst for more