Stock Analysis on Net

Lam Research Corp. (NASDAQ:LRCX)

$24.99

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
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 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020
Turnover Ratios
Inventory turnover
Receivables turnover
Payables turnover
Working capital turnover
Average No. Days
Average inventory processing period
Add: Average receivable collection period
Operating cycle
Less: Average payables payment period
Cash conversion cycle

Based on: 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), 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).


The operational activity analysis reveals a cyclical pattern in efficiency, characterized by a significant period of slowing asset turnover between 2022 and 2024, followed by a recovery phase that returns key metrics toward 2020 baseline levels by early 2026.

Inventory and Receivables Management
Inventory turnover experienced a sustained decline from a peak of 2.95 in September 2021 to a low of 1.75 by March 2024. This decline is mirrored in the average inventory processing period, which extended from 124 days to a peak of 208 days. However, a recovery trend is evident from mid-2024 onward, with the turnover ratio climbing back to 2.71 and the processing period contracting to 135 days by March 2026. Receivables turnover remained more volatile but generally improved during the inventory slowdown, reaching a peak of 6.46 in March 2024, which reduced the average collection period to 56 days before stabilizing around 70 days in the final periods.
Payables and Supplier Relations
Payables turnover showed a marked increase starting in late 2022, peaking at 20.50 in June 2023. This represents a strategic or operational shift toward faster supplier payments, as the average payables payment period dropped from roughly 40 days to a low of 18 days during the same window. In subsequent periods, this ratio normalized, with the payment period gradually extending back to 36 days by March 2026.
Operating Cycle and Cash Conversion
The operating cycle expanded significantly, peaking at 275 days in December 2023, primarily driven by the accumulation of inventory. This expansion directly impacted the cash conversion cycle (CCC), which rose from 162 days in December 2021 to a peak of 252 days in December 2023. The combination of slower inventory movement and a shortened payables payment period created a peak liquidity strain during 2023. By March 2026, the CCC returned to 169 days, indicating a restoration of previous cash flow efficiency.
Working Capital Utilization
Despite the volatility in the cash conversion cycle, working capital turnover demonstrated a consistent long-term upward trend. Increasing from 1.41 in September 2020 to 2.69 by March 2026, this suggests an improved ability to generate revenue relative to the investment in net current assets over the analyzed period.

Turnover Ratios


Average No. Days


Inventory Turnover

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

Microsoft Excel
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 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020
Selected Financial Data (US$ in thousands)
Cost of goods sold
Inventories
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Micron Technology Inc.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 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), 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).

1 Q3 2026 Calculation
Inventory turnover = (Cost of goods soldQ3 2026 + Cost of goods soldQ2 2026 + Cost of goods soldQ1 2026 + Cost of goods soldQ4 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The inventory turnover ratio exhibits a distinct cyclical pattern characterized by an initial period of stability, a significant decline in operational efficiency, and a subsequent recovery over the analyzed timeframe.

Operational Efficiency Decline
Between March 2022 and September 2023, a consistent downward trend in inventory turnover is observed, falling from 2.60 to 1.84. This decline coincides with a substantial increase in inventory levels, which rose from approximately 3.48 billion to a peak of 4.88 billion in March 2023. The disproportionate growth of inventory assets relative to the cost of goods sold during this period indicates a period of significant inventory accumulation.
Inventory Peak and Stabilization
The turnover ratio reached its minimum value of 1.75 in March 2024. Following the peak in inventory levels in early 2023, a gradual reduction in stock is evident, with inventories decreasing toward approximately 4.0 billion by March 2026. This trend suggests a correction phase aimed at optimizing stock levels and reducing carrying costs.
Recovery and Normalization
A steady recovery in the turnover ratio began in June 2024, rising from 1.86 to 2.71 by March 2026. This improvement is supported by a sustained increase in the cost of goods sold, which climbed from 2.03 billion in March 2024 to 2.93 billion in March 2026. The return to a 2.71 ratio signals a restoration of inventory management efficiency to levels comparable to those seen at the start of the period in 2020.

Receivables Turnover

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

Microsoft Excel
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 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020
Selected Financial Data (US$ in thousands)
Revenue
Accounts receivable, less allowance
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 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), 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).

1 Q3 2026 Calculation
Receivables turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Accounts receivable, less allowance
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a fluctuating but generally improving trend in receivables management over the observed period. The receivables turnover ratio demonstrates three distinct phases: a period of relative stability and decline, a phase of significant efficiency gains, and a subsequent period of stabilization during revenue growth.

Initial Performance and Efficiency Decline (September 2020 – September 2022)
During the initial phase, the receivables turnover ratio remained mostly between 4.11 and 4.86. However, a downward trend emerged throughout 2022, with the ratio reaching a period low of 3.94 in September 2022. This decline coincided with a substantial increase in accounts receivable, which peaked at approximately 4.57 billion US dollars, suggesting that credit extension to customers grew faster than revenue generation during this window.
Rapid Efficiency Improvement (December 2022 – March 2024)
A sharp reversal in the turnover trend occurred starting in late 2022. The ratio increased significantly, surpassing 5.00 in March 2023 and reaching a peak of 6.46 by March 2024. This period is characterized by a marked reduction in the accounts receivable balance, which fell to a low of 2.20 billion US dollars in March 2024. The increase in the turnover ratio during this phase indicates more aggressive collection efforts or more stringent credit terms, resulting in a faster conversion of receivables into cash.
Stabilization and Scaling (June 2024 – March 2026)
In the final period, the receivables turnover ratio stabilized, oscillating between 4.90 and 5.89. While the ratio declined from its 2024 peak, it remained consistently higher than the levels seen between 2020 and 2022. This stability occurred alongside a steady recovery in revenue, which climbed from 3.87 billion US dollars in June 2024 to 5.84 billion US dollars by March 2026. The correlation suggests that the company has established a more efficient baseline for managing its credit cycle while scaling operations.

Overall, the data indicates an improvement in the quality of the receivables portfolio. The company successfully transitioned from a period of slower collection efficiency in 2022 to a more optimized operating cycle, maintaining a higher turnover rate even as revenue expanded in the final two years of the analysis.


Payables Turnover

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

Microsoft Excel
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 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020
Selected Financial Data (US$ in thousands)
Cost of goods sold
Trade accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 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), 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).

1 Q3 2026 Calculation
Payables turnover = (Cost of goods soldQ3 2026 + Cost of goods soldQ2 2026 + Cost of goods soldQ1 2026 + Cost of goods soldQ4 2025) ÷ Trade accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of the payables turnover ratio reveals three distinct operational phases characterized by initial stability, a period of significant volatility, and a subsequent return toward historical norms.

Baseline Stability Period (September 2020 – December 2022)
During this interval, the payables turnover ratio remained relatively consistent, generally fluctuating between 8.52 and 10.12. This stability indicates a disciplined and predictable approach to managing supplier obligations relative to the cost of goods sold. While trade accounts payable grew from approximately 662 million to 1.15 billion during this window, the growth was proportional to the increase in cost of goods sold, maintaining a steady payment cycle.
Operational Volatility and Peak Turnover (March 2023 – December 2023)
A sharp divergence occurred in early 2023, marked by a dramatic increase in the payables turnover ratio, which peaked at 20.50 in June 2023. This spike was driven by a substantial reduction in trade accounts payable, which dropped to a low of 470.7 million. Such a high turnover ratio suggests an accelerated settlement of supplier invoices or a strategic reduction in the use of trade credit. This period represents a significant departure from previous working capital management patterns, as the ratio nearly doubled compared to the baseline period.
Normalization and Convergence (March 2024 – March 2026)
Following the peak in 2023, a steady downward trend in the turnover ratio is observed, signaling a return to normalized payment behaviors. The ratio declined from 14.24 in March 2024 to 10.12 by March 2026. This convergence aligns with a gradual increase in trade accounts payable, which climbed back toward 1.07 billion. The stabilization of the ratio around the 10.0 to 11.0 range suggests that the company has re-established its historical equilibrium in managing the timing of payments to vendors relative to its procurement costs.

Overall, the trajectory indicates that the aggressive reduction in payables observed in 2023 was a temporary phenomenon. The current trend shows a deliberate realignment of short-term liabilities to support increasing costs of goods sold, effectively restoring the operational cadence observed prior to 2023.


Working Capital Turnover

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

Microsoft Excel
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 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020
Selected Financial Data (US$ in thousands)
Current assets
Less: Current liabilities
Working capital
 
Revenue
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Micron Technology Inc.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 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), 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).

1 Q3 2026 Calculation
Working capital turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The working capital turnover ratio exhibits a cyclical yet overall upward trajectory from September 2020 through March 2026, indicating a general improvement in the efficiency with which net current assets are utilized to generate revenue.

Initial Growth Phase (2020–2022)
A consistent increase in operational efficiency is observed from September 2020 to June 2022, with the turnover ratio rising from 1.41 to 2.23. This trend was primarily driven by strong revenue growth, which increased from $3.18 billion to $4.64 billion during this window, while working capital remained relatively stable, fluctuating between $7.7 billion and $8.1 billion.
Contraction and Correction Period (2022–2023)
A decline in the turnover ratio occurred between June 2022 and December 2023, reaching a low of 1.63. This downturn corresponds with a period of revenue volatility, including a significant drop to $3.21 billion in June 2023. During the first half of this period, working capital reached its peak at $9.29 billion in March 2023, which combined with falling revenues to compress the turnover ratio.
Accelerated Efficiency Recovery (2024–2026)
A robust recovery phase began in early 2024, with the ratio climbing steadily from 1.77 in March 2024 to 2.69 by March 2026. This phase is characterized by a dual positive movement: revenue expanded to a peak of $5.84 billion, while working capital was optimized and reduced to approximately $8.05 billion. This synergy resulted in the highest efficiency levels recorded across the entire analyzed period.

The overall trend suggests a transition from a period of asset accumulation and revenue volatility toward a more streamlined operational model. The final observed quarters demonstrate a significant capacity to generate higher revenue volumes with a leaner working capital base, marking a substantial increase in short-term operating productivity.


Average Inventory Processing Period

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

Microsoft Excel
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 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020
Selected Financial Data
Inventory turnover
Short-term Activity Ratio (no. days)
Average inventory processing period1
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Micron Technology Inc.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 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), 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).

1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The operational activity ratios for the period between September 2020 and March 2026 reveal a cyclical trend in inventory management, characterized by an initial period of efficiency, a prolonged phase of inventory accumulation, and a subsequent return to historical norms.

Inventory Turnover Trends
A period of relative stability and peak efficiency is observed from September 2020 through September 2021, with the turnover ratio reaching a high of 2.95. Following this peak, a consistent downward trend occurred over the next two and a half years, reaching a minimum of 1.75 by March 2024. Starting in June 2024, a recovery phase began, with the ratio steadily climbing back to 2.71 by March 2026, nearly returning to the levels seen at the start of the analyzed period.
Average Inventory Processing Period Analysis
The inventory processing period mirrors the turnover trend in inverse correlation. The duration of the inventory cycle was at its most efficient in September 2021, requiring 124 days. There was then a significant expansion of the processing window, peaking at 208 days in March 2024. This represents a substantial increase in the time required to convert inventory into sales. From April 2024 onward, a sustained reduction in the processing period is evident, decreasing consistently to 135 days by March 2026.
Operational Efficiency Insights
The data indicates a period of operational deceleration between late 2021 and early 2024, where the inventory cycle lengthened by approximately 67%. This pattern suggests either a strategic buildup of stock or a slowdown in demand during that interval. The subsequent contraction of the processing period and the rise in turnover from 2024 to 2026 indicate a successful optimization of supply chain logistics or a significant increase in sales velocity, restoring the operating cycle to its previous efficiency levels.

Average Receivable Collection Period

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

Microsoft Excel
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 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020
Selected Financial Data
Receivables turnover
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 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), 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).

1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


An analysis of the average receivable collection period reveals a fluctuating but generally improving trend in working capital efficiency over the observed timeframe. The collection cycle is characterized by three distinct phases: a period of volatility and extension, a phase of significant optimization, and a subsequent period of stabilization.

Initial Volatility and Peak Cycle Duration
Between September 2020 and September 2022, the average receivable collection period exhibited notable variability, ranging from a low of 75 days to a peak of 93 days. The highest duration occurred in September 2022, coinciding with the lowest receivables turnover ratios of approximately 3.94 to 3.99, indicating a period of slower cash conversion from credit sales.
Efficiency Optimization Phase
A marked improvement in collection efficiency is observed starting in December 2022. The collection period declined steadily from 78 days to a minimum of 56 days by March 2024. This downward trend in collection days is mirrored by an increase in the receivables turnover ratio, which peaked at 6.46 in March 2024, signaling a heightened capacity to recover outstanding receivables.
Stabilization and Current Trajectory
From June 2024 through March 2026, the collection period entered a stabilization phase, fluctuating within a range of 62 to 74 days. Although the cycle extended slightly from its 56-day low, the collection period remained consistently lower than the levels observed prior to December 2022, suggesting a permanent shift toward more efficient credit management or more favorable customer payment terms.

Operating Cycle

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

No. days

Microsoft Excel
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 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020
Selected Financial Data
Average inventory processing period
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Applied Materials Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
Micron Technology Inc.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 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), 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).

1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The operating cycle exhibits a distinct cyclical pattern characterized by a period of significant expansion followed by a gradual contraction, eventually returning to near-baseline levels by the end of the observed period.

Average Inventory Processing Period
A substantial upward trend is observed beginning in mid-2022, with the processing period increasing from 155 days in June 2022 to a peak of 208 days by March 2024. This indicates a prolonged period where capital was tied up in inventory. Following this peak, a consistent downward trend occurred, with the period reducing to 135 days by March 2026, effectively returning to the levels seen in 2020.
Average Receivable Collection Period
The collection period demonstrates relative stability compared to inventory movements, though it experienced moderate volatility. A peak of 93 days was reached in September 2022, followed by an improvement in collection efficiency that culminated in a low of 56 days by March 2024. The period subsequently stabilized, fluctuating within a narrow range of 62 to 70 days through March 2026.
Operating Cycle
The overall operating cycle closely tracks the fluctuations of the inventory processing period. The cycle expanded from a range of 201 to 209 days during 2020-2021 to a peak of 275 days in December 2023. A subsequent contraction phase led the cycle back down to 205 days by March 2026. The analysis indicates that changes in inventory management were the primary driver of the volatility within the total operating cycle.

Average Payables Payment Period

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

Microsoft Excel
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 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020
Selected Financial Data
Payables turnover
Short-term Activity Ratio (no. days)
Average payables payment period1
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
NVIDIA Corp.
Qualcomm Inc.
Texas Instruments Inc.

Based on: 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), 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).

1 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals three distinct phases in the management of accounts payable between September 2020 and March 2026.

Period of Baseline Stability (September 2020 – September 2022)
During this interval, the average payables payment period remained relatively constant, fluctuating within a narrow band of 36 to 43 days. Correspondingly, the payables turnover ratio exhibited minimal volatility, generally maintaining a range between 8.52 and 10.12. This suggests a consistent approach to supplier payment obligations and a stable working capital cycle during the initial two years of the observed period.
Phase of Accelerated Settlement (December 2022 – June 2023)
A significant shift occurred starting in December 2022, characterized by a sharp increase in the payables turnover ratio, which reached a peak of 20.50 in June 2023. This coincides with a rapid contraction in the average payables payment period, which fell to a minimum of 18 days. This trend indicates a period of accelerated settlement of supplier invoices, effectively reducing the reliance on spontaneous financing from trade creditors.
Gradual Normalization (September 2023 – March 2026)
Following the peak in turnover, a steady return toward historical payment patterns is observed. The payables turnover ratio decelerated from 16.55 in September 2023 to 10.12 by March 2026. Simultaneously, the average payables payment period lengthened progressively from 22 days back to 36 days. This trajectory indicates a strategic realignment of payment terms to optimize cash flow and return to previous operational norms.

In summary, the data highlights a temporary and intense contraction of the payment cycle throughout late 2022 and early 2023, followed by a multi-year trend of normalization where both the turnover ratio and payment period converged back toward their 2020-2022 levels.


Cash Conversion Cycle

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

No. days

Microsoft Excel
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 Jun 27, 2021 Mar 28, 2021 Dec 27, 2020 Sep 27, 2020
Selected Financial Data
Average inventory processing period
Average receivable collection period
Average payables payment period
Short-term Activity Ratio
Cash conversion cycle1
Benchmarks
Cash Conversion Cycle, Competitors2
Advanced Micro Devices Inc.
Analog Devices Inc.
Broadcom Inc.
Intel Corp.
KLA Corp.
NVIDIA Corp.
Texas Instruments Inc.

Based on: 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), 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).

1 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + =

2 Click competitor name to see calculations.


The cash conversion cycle exhibits a cyclical trajectory over the analyzed period, characterized by a prolonged expansion that peaked in late 2023, followed by a consistent contraction through the first quarter of 2026. The cycle began at 168 days in September 2020, reached a maximum of 252 days in December 2023, and subsequently returned to 169 days by March 2026.

Average Inventory Processing Period
This component served as the primary driver of the overall cycle's volatility. A period of relative stability between 124 and 140 days was followed by a sustained upward trend starting in March 2022, peaking at 208 days in March 2024. This indicates a significant slowdown in inventory turnover during this window. Following the peak, a steady recovery is observed, with the processing period declining to 135 days by March 2026, nearly returning to the baseline levels seen in 2020.
Average Receivable Collection Period
The collection period demonstrated moderate volatility without a singular long-term trend. Values fluctuated between a high of 93 days in September 2022 and a low of 56 days in March 2024. Despite these fluctuations, the period generally stabilized between 62 and 74 days throughout 2024 and 2025, suggesting a relatively consistent efficiency in converting receivables into cash.
Average Payables Payment Period
A notable shift in payment strategy occurred between December 2022 and June 2023, where the payment period dropped sharply from 32 days to a low of 18 days. This acceleration in payments to suppliers acted as a headwind, further extending the total cash conversion cycle during 2023. Since mid-2023, there has been a gradual trend toward extending payment terms, with the period returning to 36 days by March 2026.

The convergence of peak inventory levels and minimized payables periods in late 2023 created the maximum pressure on liquidity, resulting in the cycle peak of 252 days. The subsequent improvement in the cash conversion cycle is attributed to the successful reduction of inventory holdings and a return to more extended supplier payment terms.