Stock Analysis on Net
Stock Analysis on Net

Micron Technology Inc. (NASDAQ:MU)

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Turnover Ratios

Average No. Days

Micron Technology Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Sep 3, 2026 May 28, 2026 Feb 26, 2026 Nov 27, 2025 Aug 28, 2025 May 29, 2025 Feb 27, 2025 Nov 28, 2024 Aug 29, 2024 May 30, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 Jun 1, 2023 Mar 2, 2023 Dec 1, 2022 Sep 1, 2022 Jun 2, 2022 Mar 3, 2022 Dec 2, 2021
Turnover Ratios
Inventory turnover 2.48 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
Receivables turnover 3.68 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
Working capital turnover 2.09 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
Average No. Days
Average inventory processing period 147 126 125 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101
Add: Average receivable collection period 99 125 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65
Operating cycle 246 251 234 217 226 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166

Based on: 10-K (reporting date: 2026-09-03), 10-Q (reporting date: 2026-05-28), 10-Q (reporting date: 2026-02-26), 10-Q (reporting date: 2025-11-27), 10-K (reporting date: 2025-08-28), 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02).


The operational efficiency of the company exhibited significant volatility between December 2021 and September 2026, characterized by a substantial extension of the operating cycle and fluctuations in asset turnover rates.

Inventory Management
Inventory turnover experienced a pronounced decline from a peak of 3.60 in December 2021 to a low of 1.91 by December 2022. This contraction corresponds with a surge in the average inventory processing period, which increased from 101 days to a peak of 192 days in December 2022. While there was a gradual recovery in turnover rates peaking at 2.92 in February 2026, the processing period remained elevated compared to baseline 2021 levels, ending at 147 days in September 2026.
Receivables Management
A divergent trend is observed in receivables turnover. Efficiency peaked in March 2023 with a turnover ratio of 10.12 and a collection period of only 36 days. However, a sustained deterioration followed, with the turnover ratio falling to 2.91 by May 2026. Consequently, the average receivable collection period expanded significantly, reaching a high of 125 days in May 2026 before correcting to 99 days by the end of the period.
Working Capital and Operating Cycle
Working capital turnover showed a U-shaped trajectory, dropping from 2.17 in December 2021 to a nadir of 0.94 in August 2023, before recovering to a peak of 2.40 in November 2025. Despite this recovery in working capital efficiency, the overall operating cycle lengthened considerably. The cycle expanded from 166 days in December 2021 to a maximum of 262 days in August 2024. The operating cycle remained consistently above 200 days from September 2022 onward, concluding at 246 days in September 2026, indicating a persistent increase in the time required to convert net current assets into cash.

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Inventory Turnover

Micron Technology Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Sep 3, 2026 May 28, 2026 Feb 26, 2026 Nov 27, 2025 Aug 28, 2025 May 29, 2025 Feb 27, 2025 Nov 28, 2024 Aug 29, 2024 May 30, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 Jun 1, 2023 Mar 2, 2023 Dec 1, 2022 Sep 1, 2022 Jun 2, 2022 Mar 3, 2022 Dec 2, 2021
Selected Financial Data (US$ in millions)
Cost of goods sold 7,182 6,400 6,105 5,997 6,261 5,793 5,090 5,361 5,013 4,979 4,745 4,761 4,445 4,420 4,899 3,192 4,021 4,607 4,110 4,122
Inventories 10,372 8,567 8,267 8,205 8,355 8,727 9,007 8,705 8,875 8,512 8,443 8,276 8,387 8,238 8,129 8,359 6,663 5,629 5,383 4,827
Short-term Activity Ratio
Inventory turnover1 2.48 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
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. — 2.46 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. — 2.38 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. — 6.15 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
Lam Research Corp. 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
Marvell Technology Inc. 2.89 3.79 3.81 3.45 3.29 3.78 3.61 3.73 3.72 3.40 3.04 2.92 2.74 2.97 2.96 3.21 3.33 3.37 4.06 2.84
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: 2026-09-03), 10-Q (reporting date: 2026-05-28), 10-Q (reporting date: 2026-02-26), 10-Q (reporting date: 2025-11-27), 10-K (reporting date: 2025-08-28), 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02).

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
= (7,182 + 6,400 + 6,105 + 5,997) ÷ 10,372 = 2.48

2 Click competitor name to see calculations.


The analysis of inventory turnover reveals a cyclical pattern characterized by an initial period of contraction, a multi-year recovery phase, and a recent decline in efficiency.

Initial Decline (December 2021 – December 2022)
A significant deterioration in inventory turnover is observed, with the ratio falling from 3.60 to 1.91. This downward trend was driven by a substantial expansion in inventory levels, which increased from 4,827 million USD to 8,359 million USD. Simultaneously, the cost of goods sold exhibited volatility, reaching a period low of 3,192 million USD in December 2022, indicating a period of inventory accumulation relative to sales volume.
Recovery and Stabilization (March 2023 – February 2026)
A gradual and consistent recovery in the turnover ratio is evident, peaking at 2.92 in February 2026. This improvement was primarily supported by a sustained increase in the cost of goods sold, which rose from 4,899 million USD in March 2023 to 6,105 million USD by February 2026. During this phase, inventory levels remained relatively stable, fluctuating within a range of 8,205 million USD to 9,007 million USD, suggesting more efficient inventory management and stronger sales throughput.
Recent Trend (May 2026 – September 2026)
A reversal in the recovery trend occurred in the final observed quarters, with the turnover ratio decreasing to 2.48 by September 2026. Although the cost of goods sold reached its highest point at 7,182 million USD, this growth was outpaced by a sharp increase in inventories, which climbed to 10,372 million USD. This divergence indicates a recent buildup of stock that has reduced the overall rate of inventory turnover.

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Receivables Turnover

Micron Technology Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Sep 3, 2026 May 28, 2026 Feb 26, 2026 Nov 27, 2025 Aug 28, 2025 May 29, 2025 Feb 27, 2025 Nov 28, 2024 Aug 29, 2024 May 30, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 Jun 1, 2023 Mar 2, 2023 Dec 1, 2022 Sep 1, 2022 Jun 2, 2022 Mar 3, 2022 Dec 2, 2021
Selected Financial Data (US$ in millions)
Revenue 54,229 41,456 23,860 13,643 11,315 9,301 8,053 8,709 7,750 6,811 5,824 4,726 4,010 3,752 3,693 4,085 6,643 8,642 7,786 7,687
Receivables 36,197 31,025 17,314 10,184 9,265 7,436 6,504 7,423 6,615 5,131 4,296 2,943 2,443 2,429 2,278 3,318 5,130 6,229 5,384 5,250
Short-term Activity Ratio
Receivables turnover1 3.68 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
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. — 5.81 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. — 4.01 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. — 6.50 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
Lam Research Corp. 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
Marvell Technology Inc. 3.75 5.04 4.98 5.68 5.61 5.39 4.98 6.06 4.91 4.53 4.65 5.79 4.97 4.20 4.27 4.26 4.26 4.00 4.40 4.48
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: 2026-09-03), 10-Q (reporting date: 2026-05-28), 10-Q (reporting date: 2026-02-26), 10-Q (reporting date: 2025-11-27), 10-K (reporting date: 2025-08-28), 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02).

1 Q4 2026 Calculation
Receivables turnover = (RevenueQ4 2026 + RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026) ÷ Receivables
= (54,229 + 41,456 + 23,860 + 13,643) ÷ 36,197 = 3.68

2 Click competitor name to see calculations.


The receivables turnover ratio exhibits significant volatility over the analyzed period, characterized by an initial peak in efficiency followed by a prolonged decline as revenue scales aggressively. The movement of the ratio suggests a shift in the company's credit management strategy or changes in customer payment behaviors corresponding with massive shifts in sales volume.

Peak Collection Efficiency (December 2022 – March 2023)
A period of maximum efficiency was observed between late 2022 and early 2023, with the receivables turnover ratio climbing from 8.18 to a peak of 10.12. This surge occurred during a phase of contracting revenue, where receivables were reduced more aggressively than sales declined, indicating highly efficient collection processes or a tightening of credit terms during a market downturn.
Trend of Declining Turnover (June 2023 – May 2026)
Following the peak, a sustained downward trend in the turnover ratio is evident. The ratio decreased from 7.48 in June 2023 to a low of 2.91 by May 2026. This indicates a substantial increase in the average time required to collect payments from customers, reflecting a deceleration in the conversion of receivables into cash.
Correlation with Revenue Expansion
The deterioration of the turnover ratio closely aligns with a period of exponential revenue growth. While revenue increased from 3.75 billion in June 2023 to 54.23 billion by September 2026, receivables grew at a disproportionate rate, rising from 2.43 billion to 36.20 billion over the same period. This suggests that the rapid expansion of the top line was supported by significantly more lenient credit terms or a higher concentration of slower-paying large-scale clients.
Recent Stabilization (September 2026)
A slight recovery in efficiency is noted in the final reporting period, with the ratio increasing to 3.68. Although this remains well below the historical peaks of 2023, it indicates a potential stabilization of the receivables balance relative to the current high-volume revenue environment.

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Working Capital Turnover

Micron Technology Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Sep 3, 2026 May 28, 2026 Feb 26, 2026 Nov 27, 2025 Aug 28, 2025 May 29, 2025 Feb 27, 2025 Nov 28, 2024 Aug 29, 2024 May 30, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 Jun 1, 2023 Mar 2, 2023 Dec 1, 2022 Sep 1, 2022 Jun 2, 2022 Mar 3, 2022 Dec 2, 2021
Selected Financial Data (US$ in millions)
Current assets 91,070 66,737 41,413 29,665 28,841 27,919 24,689 24,493 24,372 23,319 23,435 21,058 21,244 21,734 21,898 22,921 21,781 22,708 21,502 20,191
Less: Current liabilities 27,482 19,488 14,296 12,060 11,454 10,135 7,877 9,015 9,248 6,840 6,259 5,962 4,765 5,104 5,255 6,525 7,539 7,009 6,918 6,512
Working capital 63,588 47,249 27,117 17,605 17,387 17,784 16,812 15,478 15,124 16,479 17,176 15,096 16,479 16,630 16,643 16,396 14,242 15,699 14,584 13,679
 
Revenue 54,229 41,456 23,860 13,643 11,315 9,301 8,053 8,709 7,750 6,811 5,824 4,726 4,010 3,752 3,693 4,085 6,643 8,642 7,786 7,687
Short-term Activity Ratio
Working capital turnover1 2.09 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
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. — 9.80 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. — 2.09 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. — 2.84 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
Lam Research Corp. 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
Marvell Technology Inc. 2.53 2.81 3.42 7.25 5.27 5.10 4.34 4.53 4.41 5.03 68.52 40.95 6.62 7.70 7.27 4.86 4.04 3.89 4.19 4.27
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: 2026-09-03), 10-Q (reporting date: 2026-05-28), 10-Q (reporting date: 2026-02-26), 10-Q (reporting date: 2025-11-27), 10-K (reporting date: 2025-08-28), 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02).

1 Q4 2026 Calculation
Working capital turnover = (RevenueQ4 2026 + RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026) ÷ Working capital
= (54,229 + 41,456 + 23,860 + 13,643) ÷ 63,588 = 2.09

2 Click competitor name to see calculations.


The analysis of working capital turnover reveals a cyclical performance pattern characterized by a period of significant operational contraction, followed by a steady recovery and a subsequent phase of massive scale-up in both revenue and capital investment.

Revenue Volatility and Growth
Revenue exhibited a pronounced U-shaped trajectory. After starting at approximately 7.6 billion USD in late 2021, figures declined sharply to a trough of 3.69 billion USD by March 2023. This was followed by a consistent recovery through 2024 and 2025, culminating in an exponential surge in 2026, where quarterly revenue jumped from 23.86 billion USD in February to 54.23 billion USD by September.
Working Capital Trends
Working capital remained relatively stable between 13.68 billion USD and 17.78 billion USD from December 2021 through November 2025. However, a dramatic escalation occurred in 2026, with working capital rising from 27.12 billion USD in February to 63.59 billion USD by September, indicating a substantial increase in short-term assets and liabilities to support expanded operations.
Working Capital Turnover Ratio Analysis
The turnover ratio followed the revenue cycle closely. Efficiency remained stable around 2.10 in 2021 and early 2022 before declining to a low of 0.94 in August 2023, suggesting that revenue generation failed to keep pace with the available working capital during the downturn. A recovery phase saw the ratio climb back to a peak of 2.40 by November 2025, reflecting optimized asset utilization.
Operational Efficiency during Expansion
During the rapid growth phase of 2026, the turnover ratio stabilized between 1.91 and 2.14. Despite the massive absolute increases in both revenue and working capital, the ratio remained consistent with historical norms, suggesting that the expansion was managed in a manner that maintained a proportional relationship between operating liquidity and sales generation.

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Average Inventory Processing Period

Micron Technology Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Sep 3, 2026 May 28, 2026 Feb 26, 2026 Nov 27, 2025 Aug 28, 2025 May 29, 2025 Feb 27, 2025 Nov 28, 2024 Aug 29, 2024 May 30, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 Jun 1, 2023 Mar 2, 2023 Dec 1, 2022 Sep 1, 2022 Jun 2, 2022 Mar 3, 2022 Dec 2, 2021
Selected Financial Data
Inventory turnover 2.48 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
Short-term Activity Ratio (no. days)
Average inventory processing period1 147 126 125 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101
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. — 148 149 148 142 141 137 135 131 127 128 131 135 140 136 129 114 96 97 100
Applied Materials Inc. — 154 156 151 148 144 142 139 139 144 148 147 148 149 152 157 157 151 140 131
Broadcom Inc. — 59 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
Lam Research Corp. 136 135 143 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124
Marvell Technology Inc. 126 96 96 106 111 97 101 98 98 107 120 125 133 123 123 114 110 108 90 129
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: 2026-09-03), 10-Q (reporting date: 2026-05-28), 10-Q (reporting date: 2026-02-26), 10-Q (reporting date: 2025-11-27), 10-K (reporting date: 2025-08-28), 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02).

1 Q4 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.48 = 147

2 Click competitor name to see calculations.


The analyzed period reveals a distinct cyclical trend in inventory management efficiency, characterized by an initial sharp decline in turnover, a prolonged period of stability, a recovery phase, and a recent moderate increase in processing time.

Inventory Turnover Trends
A significant reduction in turnover is observed from December 2021 (3.60) to December 2022 (1.91), representing the lowest point of efficiency during the period. Following this trough, the ratio stabilized between 2.01 and 2.31 throughout 2023 and 2024. A recovery trend emerged in 2025, peaking at 2.92 in February 2026, before declining to 2.48 by September 2026.
Average Inventory Processing Period
The time required to process inventory experienced a substantial increase, rising from 101 days in December 2021 to a peak of 192 days in December 2022. This period of inefficiency persisted through much of 2023, with values consistently remaining above 160 days. A trend of improvement began in May 2025, with the processing period reaching a recent low of 125 days in February 2026. However, a recent upward trajectory is evident, with the period extending to 147 days by September 2026.
Operational Correlation
A consistent inverse correlation exists between the inventory turnover ratio and the average inventory processing period. The peak in processing days aligns precisely with the minimum turnover ratio, indicating a period of significant inventory accumulation or reduced sales velocity. The subsequent convergence toward lower processing days and higher turnover through early 2026 suggests a restoration of operational efficiency, though the most recent data points indicate a renewed slowdown in inventory movement.

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Average Receivable Collection Period

Micron Technology Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Sep 3, 2026 May 28, 2026 Feb 26, 2026 Nov 27, 2025 Aug 28, 2025 May 29, 2025 Feb 27, 2025 Nov 28, 2024 Aug 29, 2024 May 30, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 Jun 1, 2023 Mar 2, 2023 Dec 1, 2022 Sep 1, 2022 Jun 2, 2022 Mar 3, 2022 Dec 2, 2021
Selected Financial Data
Receivables turnover 3.68 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
Short-term Activity Ratio (no. days)
Average receivable collection period1 99 125 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65
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. — 63 59 42 48 55 51 47 52 42 35 38 44 46 46 47 55 57 60 71
Applied Materials Inc. — 91 80 64 67 74 80 79 70 68 66 65 71 72 76 75 86 72 72 67
Broadcom Inc. — 56 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
Lam Research Corp. 84 70 62 68 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79
Marvell Technology Inc. 97 72 73 64 65 68 73 60 74 81 79 63 74 87 85 86 86 91 83 82
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: 2026-09-03), 10-Q (reporting date: 2026-05-28), 10-Q (reporting date: 2026-02-26), 10-Q (reporting date: 2025-11-27), 10-K (reporting date: 2025-08-28), 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02).

1 Q4 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 3.68 = 99

2 Click competitor name to see calculations.


The analysis of receivables management reveals a significant cyclical shift in collection efficiency over the observed period. An inverse relationship is maintained between the receivables turnover ratio and the average receivable collection period, with a marked deterioration in liquidity metrics emerging after the first quarter of 2023.

Period of Maximum Efficiency (December 2021 – March 2023)
A trend of increasing operational efficiency is observed during this phase. The average receivable collection period declined from 65 days to a low of 36 days, while the receivables turnover ratio peaked at 10.12. This indicates a period of rapid cash conversion and highly effective credit collection processes.
Extended Period of Deterioration (June 2023 – May 2026)
A sustained upward trend in the collection period is evident, rising from 49 days in June 2023 to a peak of 125 days in May 2026. This coincides with a steady decline in the receivables turnover ratio, which reached a minimum of 2.91. The expansion of the collection cycle by nearly 90 days suggests a significant slowdown in the recovery of outstanding receivables and a potential shift in credit terms or customer payment capabilities.
Recent Correction (September 2026)
The final observation point indicates a partial recovery in collection performance. The average receivable collection period decreased to 99 days, and the turnover ratio improved to 3.68. This suggests a moderate improvement in the velocity of receivables recovery compared to the preceding peak in collection days.

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Operating Cycle

Micron Technology Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Sep 3, 2026 May 28, 2026 Feb 26, 2026 Nov 27, 2025 Aug 28, 2025 May 29, 2025 Feb 27, 2025 Nov 28, 2024 Aug 29, 2024 May 30, 2024 Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 Jun 1, 2023 Mar 2, 2023 Dec 1, 2022 Sep 1, 2022 Jun 2, 2022 Mar 3, 2022 Dec 2, 2021
Selected Financial Data
Average inventory processing period 147 126 125 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101
Average receivable collection period 99 125 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65
Short-term Activity Ratio
Operating cycle1 246 251 234 217 226 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166
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. — 211 208 190 190 196 188 182 183 169 163 169 179 186 182 176 169 153 157 171
Applied Materials Inc. — 245 236 215 215 218 222 218 209 212 214 212 219 221 228 232 243 223 212 198
Broadcom Inc. — 115 118 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
Lam Research Corp. 220 205 205 219 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203
Marvell Technology Inc. 223 168 169 170 176 165 174 158 172 188 199 188 207 210 208 200 196 199 173 211
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: 2026-09-03), 10-Q (reporting date: 2026-05-28), 10-Q (reporting date: 2026-02-26), 10-Q (reporting date: 2025-11-27), 10-K (reporting date: 2025-08-28), 10-Q (reporting date: 2025-05-29), 10-Q (reporting date: 2025-02-27), 10-Q (reporting date: 2024-11-28), 10-K (reporting date: 2024-08-29), 10-Q (reporting date: 2024-05-30), 10-Q (reporting date: 2024-02-29), 10-Q (reporting date: 2023-11-30), 10-K (reporting date: 2023-08-31), 10-Q (reporting date: 2023-06-01), 10-Q (reporting date: 2023-03-02), 10-Q (reporting date: 2022-12-01), 10-K (reporting date: 2022-09-01), 10-Q (reporting date: 2022-06-02), 10-Q (reporting date: 2022-03-03), 10-Q (reporting date: 2021-12-02).

1 Q4 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 147 + 99 = 246

2 Click competitor name to see calculations.


The overall operating cycle exhibits a general expansion over the observed period, reflecting a longer duration required to convert investments in inventory back into cash. While the cycle began at 166 days in December 2021, it reached a peak of 262 days by August 2024, indicating a systemic slowdown in the company's short-term operational efficiency.

Average Inventory Processing Period
A significant increase in inventory processing time was observed during the first year, rising from 101 days in December 2021 to a peak of 192 days in December 2022. Following this peak, the period remained elevated, fluctuating between 150 and 182 days through mid-2024. A gradual improvement followed, with the processing period declining to 125 days by February 2026, before ending with a moderate increase to 147 days in September 2026.
Average Receivable Collection Period
The collection period showed a bifurcated trend. Initially, there was a contraction in collection time, reaching a low of 36 days in March 2023. This was followed by a sustained and steep increase over several years, peaking at 125 days in May 2026. This trend suggests a lengthening of customer payment terms or a decrease in collection efficiency, although a correction to 99 days was noted by September 2026.
Operating Cycle Integration
The fluctuations in the total operating cycle were driven by different factors at different stages. Between 2021 and 2022, the expansion was primarily driven by the inventory processing period. From 2023 through early 2026, the cycle remained elevated and continued to grow largely due to the increasing receivable collection period. The cycle ended at 246 days in September 2026, representing a net increase of 80 days compared to the start of the period.

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