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)

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

Microsoft Excel
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 Sep 2, 2021 Jun 3, 2021 Mar 4, 2021 Dec 3, 2020
Turnover Ratios
Inventory turnover 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 3.85 3.73 3.43 2.74
Receivables turnover 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 5.22 6.02 7.01 5.98
Working capital turnover 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 2.05 1.95 1.98 2.04
Average No. Days
Average inventory processing period 126 125 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101 95 98 106 133
Add: Average receivable collection period 125 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65 70 61 52 61
Operating cycle 251 234 217 226 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166 165 159 158 194

Based on: 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), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03).


The operating activity ratios indicate a period of significant volatility in asset management efficiency, characterized by a sharp decline in performance between 2022 and 2023, followed by a partial and divergent recovery through May 2026.

Inventory Management Efficiency
Inventory turnover experienced a peak in September 2021 at 3.85 before entering a steep decline that bottomed out at 1.91 in December 2022. This corresponds with a substantial increase in the average inventory processing period, which rose from a low of 95 days in September 2021 to a peak of 192 days in December 2022. Since 2024, a steady recovery trend is evident, with turnover improving to 2.89 and the processing period contracting to 126 days by May 2026, suggesting a return toward historical efficiency levels.
Receivables Management and Collection
Receivables turnover exhibits a contrasting trend to inventory. While it peaked at 10.12 in March 2023, reflecting a highly efficient collection period of only 36 days, it has since entered a sustained downward trajectory. By May 2026, the turnover ratio fell to 2.91, and the average receivable collection period expanded significantly to 125 days. This indicates a marked deterioration in the speed of cash conversion from credit sales over the latter half of the analyzed period.
Working Capital Utilization
Working capital turnover remained relatively stable around 2.0 between 2020 and 2022, but plummeted to a low of 0.94 in August 2023. This decline aligns with the period of peak inventory buildup and reduced turnover. However, a robust recovery occurred between 2024 and 2025, with the ratio returning to 2.40 by November 2025 before settling at 1.91 in May 2026, indicating that the company has regained its ability to generate sales relative to its working capital investment.
Operating Cycle Analysis
The overall operating cycle has expanded considerably. Starting at 194 days in December 2020, the cycle reached a peak of 262 days in May 2024. Although there was a temporary contraction to 217 days in November 2025, the cycle ended at 251 days in May 2026. The data reveals that while inventory processing times have improved since 2022, these gains have been entirely offset by the lengthening of the receivable collection period, resulting in a permanently longer cash-to-cash cycle compared to the 2020-2021 baseline.

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Turnover Ratios


Average No. Days



Inventory Turnover

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

Microsoft Excel
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 Sep 2, 2021 Jun 3, 2021 Mar 4, 2021 Dec 3, 2020
Selected Financial Data (US$ in millions)
Cost of goods sold 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 4,362 4,296 4,587 4,037
Inventories 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 4,487 4,537 4,743 5,521
Short-term Activity Ratio
Inventory turnover1 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 3.85 3.73 3.43 2.74
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 2.33 3.16 3.16 3.18
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 2.82 2.80 2.65 2.55
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 8.18 9.10 10.44 11.01
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. 1.47 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. 2.71 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
NVIDIA Corp. 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 4.42 4.18 4.41 4.17
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-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), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03).

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
= (6,400 + 6,105 + 5,997 + 6,261) ÷ 8,567 = 2.89

2 Click competitor name to see calculations.


The analysis of operating activity indicates a cyclical pattern in inventory management efficiency, characterized by an initial period of optimization, a significant contraction in turnover, and a subsequent phased recovery.

Inventory Turnover Trends
Operational efficiency peaked in September 2021 with a turnover ratio of 3.85. A subsequent downward trend is observed, leading to a period low of 1.91 in December 2022. From March 2023 through May 2026, the ratio exhibits a consistent recovery, gradually ascending to 2.89, which suggests a return toward historical efficiency levels.
Cost of Goods Sold (COGS) Dynamics
COGS remained relatively stable between 2020 and 2022, despite a significant contraction to 3,192 million USD in December 2022. Following this trough, a sustained upward trajectory is evident, with costs increasing to 6,400 million USD by May 2026. This growth in COGS is a primary driver in the improvement of the turnover ratio during the latter half of the analyzed period.
Inventory Level Fluctuations
Inventory balances underwent a substantial expansion between December 2021 and December 2022, increasing from 4,827 million USD to 8,359 million USD. This accumulation of stock coincided with the decline in turnover efficiency. From 2023 through May 2026, inventory levels transitioned into a stabilization phase, fluctuating within a range of approximately 8,200 million USD to 9,000 million USD.

The data suggests that the decline in inventory turnover was primarily driven by a rapid increase in inventory holdings that outpaced the growth of cost of goods sold. The subsequent recovery in the turnover ratio is attributed to stabilized inventory levels paired with a steady increase in output and sales volume, reflecting improved asset utilization.

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Receivables Turnover

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

Microsoft Excel
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 Sep 2, 2021 Jun 3, 2021 Mar 4, 2021 Dec 3, 2020
Selected Financial Data (US$ in millions)
Revenue 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 8,274 7,422 6,236 5,773
Receivables 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 5,311 4,231 3,353 3,691
Short-term Activity Ratio
Receivables turnover1 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 5.22 6.02 7.01 5.98
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 5.02 7.90 7.62 7.08
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 4.66 5.66 5.87 5.98
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 13.25 11.87 10.54 9.78
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. 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. 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
NVIDIA Corp. 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-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), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03).

1 Q3 2026 Calculation
Receivables turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Receivables
= (41,456 + 23,860 + 13,643 + 11,315) ÷ 31,025 = 2.91

2 Click competitor name to see calculations.


The analysis of receivables turnover reveals three distinct phases of operational activity: a period of relative stability, a peak in collection efficiency during a revenue contraction, and a sustained decline in turnover as revenue scales rapidly.

Phase of Stability and Peak Efficiency (December 2020 – March 2023)
Between December 2020 and September 2022, the receivables turnover ratio remained relatively consistent, fluctuating between 5.20 and 7.01. A significant spike in efficiency occurred between December 2022 and March 2023, where the ratio peaked at 10.12. This peak coincided with the lowest reported revenue levels ($3.69 billion to $4.08 billion), suggesting a period of aggressive collection or a strategic tightening of credit terms during a market downturn.
Sustained Decline in Turnover (June 2023 – May 2026)
Starting in June 2023, a clear and persistent downward trend in the receivables turnover ratio is observed. The ratio declined from 7.48 in June 2023 to 2.91 by May 2026. This steady decrease indicates a lengthening of the average collection period, meaning that the time taken to convert credit sales into cash has increased significantly over this timeframe.
Correlation Between Hyper-Growth and Credit Expansion
The decline in the turnover ratio is strongly correlated with a massive acceleration in revenue. While revenue grew from $3.75 billion in June 2023 to $41.45 billion by May 2026, receivables grew at a disproportionately faster rate, rising from $2.43 billion to $31.02 billion. This suggests that the rapid expansion of sales volume has been supported by an expansion of trade credit or a decrease in the rigor of credit collection processes.

The trajectory indicates that while the company is achieving unprecedented revenue growth, it is doing so at the expense of receivables efficiency. The drop in the turnover ratio to 2.91 suggests a potential increase in liquidity risk, as a larger portion of the company's assets is increasingly tied up in unpaid customer invoices.

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Working Capital Turnover

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

Microsoft Excel
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 Sep 2, 2021 Jun 3, 2021 Mar 4, 2021 Dec 3, 2020
Selected Financial Data (US$ in millions)
Current assets 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 19,907 18,561 17,279 16,529
Less: Current liabilities 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 6,424 5,462 5,433 5,688
Working capital 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 13,483 13,099 11,846 10,841
 
Revenue 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 8,274 7,422 6,236 5,773
Short-term Activity Ratio
Working capital turnover1 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 2.05 1.95 1.98 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 2.81 21.89 49.24 6.18
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 2.36 2.14 1.95 1.86
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 2.66 2.90 3.27 3.25
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. 1.72 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. 2.69 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
NVIDIA Corp. 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 4.13 3.96 3.19 2.53
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-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), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03).

1 Q3 2026 Calculation
Working capital turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Working capital
= (41,456 + 23,860 + 13,643 + 11,315) ÷ 47,249 = 1.91

2 Click competitor name to see calculations.


The working capital turnover ratio exhibits three distinct phases: a period of relative stability, a significant operational contraction, and a subsequent phase of aggressive expansion. Throughout the analyzed period, the efficiency of working capital utilization shifted from a consistent baseline to a period of severe inefficiency before recovering and stabilizing amidst massive revenue growth.

Operational Stability and Baseline Performance
From December 2020 through September 2022, the working capital turnover ratio remained remarkably stable, fluctuating within a narrow range between 1.95 and 2.17. During this window, revenue grew steadily from 5.77 billion to 8.64 billion, while working capital increased proportionally, indicating a disciplined approach to managing short-term assets and liabilities relative to sales volume.
Cyclical Contraction and Efficiency Decline
A sharp deterioration in efficiency is observed starting in December 2022, coinciding with a steep decline in quarterly revenue. The turnover ratio dropped from 2.16 in September 2022 to a trough of 0.94 by August 2023. This decline suggests that working capital remained high—peaking at 16.64 billion in March 2023—while the revenue generation capacity of those assets diminished, resulting in a significant drop in operational velocity.
Recovery and Rapid Scaling
Beginning in November 2023, a recovery trend emerged as revenue began to climb back toward and then exceed previous peaks. The turnover ratio improved steadily, peaking at 2.40 in August 2025. This indicates a period of high efficiency where the company generated increasing revenue without a proportional increase in working capital requirements.
Large-Scale Expansion Phase
The final period observed shows an extraordinary escalation in both revenue and working capital. Between February 2026 and May 2026, revenue surged to 41.46 billion, while working capital increased to 47.25 billion. Despite the magnitude of this growth, the turnover ratio normalized to 1.91, suggesting that the massive expansion in operational scale was supported by a commensurate increase in short-term funding and asset allocation to maintain historical efficiency levels.

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Average Inventory Processing Period

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

Microsoft Excel
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 Sep 2, 2021 Jun 3, 2021 Mar 4, 2021 Dec 3, 2020
Selected Financial Data
Inventory turnover 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 3.85 3.73 3.43 2.74
Short-term Activity Ratio (no. days)
Average inventory processing period1 126 125 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101 95 98 106 133
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 97 100 157 115 116 115
Applied Materials Inc. 156 151 148 144 142 139 139 144 148 147 148 149 152 157 157 151 140 131 129 130 138 143
Broadcom Inc. 66 49 40 40 38 36 34 41 45 55 62 60 61 61 63 62 57 53 45 40 35 33
Intel Corp. 130 131 123 122 111 124 125 124 127 130 125 128 131 136 133 126 121 123
KLA Corp. 248 245 248 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211
Lam Research Corp. 135 143 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124
NVIDIA Corp. 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 83 87 83 88
Texas Instruments Inc. 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127

Based on: 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), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03).

1 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.89 = 126

2 Click competitor name to see calculations.


The inventory activity metrics exhibit a cyclical pattern characterized by an initial period of efficiency gains, a significant downturn in operational velocity, and a subsequent gradual recovery in inventory throughput.

Inventory Turnover Trends
Operational efficiency improved steadily from December 2020, with the turnover ratio rising from 2.74 to a peak of 3.85 by September 2021. Following this peak, a sharp contraction occurred, reaching a low of 1.91 in December 2022. A period of relative stabilization followed between March 2023 and November 2024, where the ratio fluctuated narrowly between 2.01 and 2.31. From February 2025 through May 2026, a consistent upward trend is observed, with the ratio climbing back to 2.89.
Average Inventory Processing Period Analysis
The duration required to process inventory mirrored the turnover trends inversely. The processing period declined from 133 days in December 2020 to a minimum of 95 days in September 2021. A substantial increase in holding time followed, peaking at 192 days in December 2022, which represents the point of lowest operational liquidity for inventory. Throughout 2023 and 2024, the processing period remained elevated, generally persisting between 158 and 182 days. Starting in February 2025, a steady reduction in the processing period is noted, descending to 126 days by May 2026.
Operational Correlation and Efficiency Insights
A strong inverse correlation exists between the turnover ratio and the processing period. The period between late 2021 and late 2022 indicates a significant buildup of inventory or a marked slowdown in sales velocity, doubling the processing time from its 2021 low. The recovery phase beginning in 2025 suggests a return to optimized inventory management and improved demand alignment, as the processing period has returned to levels similar to those observed in late 2020.

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Average Receivable Collection Period

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

Microsoft Excel
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 Sep 2, 2021 Jun 3, 2021 Mar 4, 2021 Dec 3, 2020
Selected Financial Data
Receivables turnover 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 5.22 6.02 7.01 5.98
Short-term Activity Ratio (no. days)
Average receivable collection period1 125 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65 70 61 52 61
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 73 46 48 52
Applied Materials Inc. 80 64 67 74 80 79 70 68 66 65 71 72 76 75 86 72 72 67 78 65 62 61
Broadcom Inc. 52 45 41 40 36 33 31 36 47 47 32 30 32 34 33 31 38 33 28 31 35 37
Intel Corp. 26 28 27 22 16 21 24 21 21 22 23 20 20 25 24 39 30 33
KLA Corp. 64 59 66 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72
Lam Research Corp. 70 62 68 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79
NVIDIA Corp. 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-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), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03).

1 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 2.91 = 125

2 Click competitor name to see calculations.


An analysis of the short-term operating activity reveals a cyclical pattern in the efficiency of receivables management, characterized by a period of significant optimization followed by a prolonged trend of deterioration in collection speed.

Efficiency Peak and Optimization
Between December 2021 and March 2023, a marked improvement in credit collection efficiency was observed. The average receivable collection period declined from 65 days to a minimum of 36 days by March 2023. During this window, receivables turnover reached its highest peak of 10.12, indicating an accelerated conversion of accounts receivable into cash.
Trend of Increasing Collection Periods
Following the March 2023 low, there is a consistent upward trajectory in the time required to collect payments. The collection period rose steadily from 36 days to 88 days by May 2024, eventually peaking at 125 days by May 2026. This represents a substantial increase in the duration that capital remains tied up in receivables, suggesting a loosening of credit terms or a decline in customer payment punctuality.
Receivables Turnover Correlation
A strong inverse correlation is evident between the turnover ratio and the collection period. As the turnover ratio declined from its peak of 10.12 in March 2023 to a low of 2.91 in May 2026, the collection period expanded proportionally. The sharp drop in turnover since 2023 reflects a reduction in the frequency with which the average receivables balance is cleared over the period.
Comparative Analysis of Periods
The operational efficiency observed in the 2020-2022 period, where collection times generally fluctuated between 52 and 70 days, was surpassed during the early 2023 optimization. However, the subsequent trend from 2024 through 2026 shows a performance level significantly lower than the initial baseline, with the final recorded collection period of 125 days being more than double the efficiency peak.

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Operating Cycle

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

No. days

Microsoft Excel
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 Sep 2, 2021 Jun 3, 2021 Mar 4, 2021 Dec 3, 2020
Selected Financial Data
Average inventory processing period 126 125 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101 95 98 106 133
Average receivable collection period 125 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65 70 61 52 61
Short-term Activity Ratio
Operating cycle1 251 234 217 226 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166 165 159 158 194
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. 208 190 190 196 188 182 183 169 163 169 179 186 182 176 169 153 157 171 230 161 164 167
Applied Materials Inc. 236 215 215 218 222 218 209 212 214 212 219 221 228 232 243 223 212 198 207 195 200 204
Broadcom Inc. 118 94 81 80 74 69 65 77 92 102 94 90 93 95 96 93 95 86 73 71 70 70
Intel Corp. 156 159 150 144 127 145 149 145 148 152 148 148 151 161 157 165 151 156
KLA Corp. 312 304 314 315 321 333 345 350 345 355 325 310 304 304 299 290 282 285 283
Lam Research Corp. 205 205 219 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203
NVIDIA Corp. 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-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), 10-K (reporting date: 2021-09-02), 10-Q (reporting date: 2021-06-03), 10-Q (reporting date: 2021-03-04), 10-Q (reporting date: 2020-12-03).

1 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 126 + 125 = 251

2 Click competitor name to see calculations.


The operating cycle exhibits a volatile trajectory over the analyzed period, characterized by an initial decline, a prolonged expansion, and a subsequent phase of instability driven by diverging trends in inventory and receivables management.

Average Inventory Processing Period
A period of increased efficiency is observed between December 2020 and June 2021, with the processing period dropping from 133 days to 98 days. This was followed by a significant upward trend, peaking at 192 days in December 2022, indicating a substantial slowdown in inventory turnover. While levels remained elevated through 2023 and 2024, a consistent recovery is noted starting in 2025, with the period gradually declining to 126 days by May 2026.
Average Receivable Collection Period
The collection period remained relatively stable, fluctuating between 45 and 70 days from 2020 through late 2022, reaching a minimum of 36 days in March 2023. However, a pronounced and steady increase is observed from mid-2023 onward. The collection period extended significantly, reaching 125 days by May 2026, which represents a substantial deceleration in the conversion of credit sales into cash.
Operating Cycle
The overall operating cycle reflects the cumulative impact of the aforementioned components. After reaching a low of 158 days in March 2021, the cycle expanded aggressively, peaking at 262 days in August 2024. In the final stages of the analyzed period, the contraction in the inventory processing period was offset by the widening receivable collection window, resulting in an operating cycle that remains extended, ending at 251 days in May 2026.

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