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
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 2.92 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 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 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 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 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65 70 61 52 61
Operating cycle 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: 2026-02-26), 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 short-term operating activity ratios exhibit varied trends over the observed period. Generally, a decline in efficiency metrics is apparent in the more recent quarters, particularly from late 2022 through 2024, followed by some stabilization and modest improvement in the latest periods. This suggests potential shifts in the company’s operational management of inventory, receivables, and working capital.

Inventory Turnover
Inventory turnover demonstrates an initial increase from 2.74 in December 2020 to a peak of 3.85 in September 2021. Subsequently, the ratio experienced a consistent decline, reaching a low of 1.91 in December 2022. A slight recovery is then observed, with the ratio fluctuating between 2.01 and 2.92 from March 2023 to February 2026, indicating a slower rate of inventory conversion into sales in recent periods compared to earlier ones. The most recent value of 2.92 suggests a potential stabilization, but remains below the highs seen in 2021.
Receivables Turnover
Receivables turnover initially increased from 5.98 in December 2020 to 10.12 in March 2022, indicating improved efficiency in collecting receivables. However, a marked decrease is then observed, falling to a low of 3.36 in February 2026. This suggests a lengthening of the collection period and potentially more lenient credit terms or difficulties in collecting payments. The earlier peak suggests a period of strong sales and efficient collection practices, while the subsequent decline warrants further investigation.
Working Capital Turnover
Working capital turnover generally decreased over the period, starting at 2.04 in December 2020 and reaching a low of 0.94 in June 2023. A recovery is then evident, with the ratio increasing to 2.40 in August 2025, before decreasing slightly to 2.14 in February 2026. This indicates a less efficient utilization of working capital in generating sales in the later periods, although the recent increase suggests some improvement. The decline may be attributable to increases in working capital components relative to sales.
Average Inventory Processing Period
The average inventory processing period generally increased over the observed timeframe. Starting at 133 days in December 2020, it rose to 192 days in December 2022. While fluctuating, the period remained elevated, reaching 125 days in February 2026. This lengthening period aligns with the declining inventory turnover, indicating that inventory is taking longer to convert into finished goods and ultimately, sales. The most recent value suggests a slight reduction in processing time.
Average Receivable Collection Period
The average receivable collection period exhibited an increasing trend, particularly after March 2022. Beginning at 61 days in December 2020, it increased to 88 days in February 2026. This increase corresponds with the decline in receivables turnover, suggesting that it is taking longer to collect payments from customers. The period peaked at 96 days in August 2024. The increase in collection period could indicate deteriorating credit quality of customers or changes in credit policies.
Operating Cycle
The operating cycle generally lengthened throughout the period, increasing from 194 days in December 2020 to 234 days in February 2026. This increase is a combined effect of the lengthening inventory processing and receivable collection periods. A longer operating cycle implies that the company requires more time to convert its investments in inventory and other resources into cash, potentially impacting liquidity and overall efficiency.

In summary, the observed trends suggest a weakening of short-term operating efficiency from late 2022 onwards. While some indicators show signs of stabilization or modest improvement in the most recent periods, the overall trend warrants continued monitoring and potential investigation into the underlying causes of these changes.

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Turnover Ratios


Average No. Days


Inventory Turnover

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

Microsoft Excel
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 6,105 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 8,267 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 2.92 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. 2.21 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. 2.47 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. 2.41 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. 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. 2.97 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. 1.49 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 1.76 1.81 1.76 1.77
Lam Research Corp. 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 2.91 2.78 2.71 2.77
NVIDIA Corp. 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. 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. 1.58 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: 2026-02-26), 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 Q2 2026 Calculation
Inventory turnover = (Cost of goods soldQ2 2026 + Cost of goods soldQ1 2026 + Cost of goods soldQ4 2025 + Cost of goods soldQ3 2025) ÷ Inventories
= (6,105 + 5,997 + 6,261 + 5,793) ÷ 8,267 = 2.92

2 Click competitor name to see calculations.


The inventory turnover ratio exhibits fluctuations over the observed period, generally trending downwards initially before stabilizing and showing a slight increase towards the end of the timeframe. A clear pattern of cyclicality is apparent, potentially linked to industry-specific demand cycles or the company’s production and sales strategies.

Initial Decline (Dec 2020 – Sep 2022)
The inventory turnover ratio decreased from 2.74 in December 2020 to 1.91 in September 2022. This decline suggests a lengthening of the time it takes to sell inventory, potentially due to increasing inventory levels, slowing sales, or a combination of both. The most significant drop occurred between June 2022 and September 2022, coinciding with a substantial increase in inventory values.
Stabilization and Recovery (Dec 2022 – Nov 2024)
Following the decline, the ratio stabilized, fluctuating between 2.06 and 2.31 for several quarters. This indicates that the rate of inventory depletion began to normalize. A modest upward trend is observed from December 2022 through November 2024, suggesting improved inventory management or increased demand.
Recent Increase (Feb 2025 – May 2025)
The ratio experienced a more pronounced increase in the latter part of the period, reaching 2.69 in March 2025 and peaking at 2.92 in May 2025. This suggests a faster rate of inventory turnover, potentially driven by strong sales or effective inventory reduction strategies. However, the ratio decreased slightly in subsequent quarters.
Cost of Goods Sold and Inventory Relationship
Cost of goods sold generally increased over the period, with some quarterly variations. While cost of goods sold increased from US$4,037 million to US$6,105 million, inventories also increased significantly, from US$5,521 million to US$8,267 million. The initial decline in the inventory turnover ratio is consistent with inventories growing at a faster rate than cost of goods sold. The recent increase in the ratio correlates with a period where cost of goods sold growth outpaced inventory growth.

Overall, the inventory turnover ratio demonstrates a dynamic relationship with both cost of goods sold and inventory levels. The observed trends suggest the company’s ability to manage inventory effectively is influenced by external factors and internal strategies, with a recent positive trend indicating improved performance.

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Receivables Turnover

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

Microsoft Excel
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 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 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 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. 5.49 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. 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. 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. 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. 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. 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 5.30 5.37 4.98 5.77
Lam Research Corp. 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 4.83 4.72 4.11 4.77
NVIDIA Corp. 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. 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: 2026-02-26), 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 Q2 2026 Calculation
Receivables turnover = (RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025 + RevenueQ3 2025) ÷ Receivables
= (23,860 + 13,643 + 11,315 + 9,301) ÷ 17,314 = 3.36

2 Click competitor name to see calculations.


The receivables turnover ratio for the analyzed period demonstrates considerable fluctuation. Initially, the ratio exhibited volatility, followed by a general declining trend over the majority of the observed timeframe. A period of relative stability occurred in the earlier quarters, followed by a more pronounced downward trajectory in the latter half of the period.

Initial Period (Dec 2020 - Jun 2022)
The receivables turnover ratio began at 5.98 and peaked at 7.01 before settling around the 5.20-5.79 range. This suggests a relatively efficient collection of receivables during this period, though with some quarterly variation. The initial increase could indicate improved collection efficiency or a change in sales terms. The subsequent stabilization suggests a consistent approach to credit and collections.
Transition and Decline (Sep 2022 - May 2024)
A notable increase to 8.18 is observed in September 2022, followed by a consistent decline to 4.17 by May 2024. This decline suggests a lengthening of the collection period, potentially due to changes in customer creditworthiness, more lenient credit terms offered to boost sales, or a slowdown in collections efforts. The increase in receivables alongside the declining turnover supports this interpretation.
Recent Period (Jun 2024 - Feb 2026)
The ratio continues to decline, reaching a low of 3.36 in February 2026. While there are minor fluctuations, the overall trend remains downward. This continued decline warrants further investigation, as it could indicate increasing credit risk, deteriorating collection practices, or a shift in the customer base towards those with longer payment cycles. The significant increase in revenue during this period, coupled with a continued decline in the turnover ratio, suggests a substantial rise in outstanding receivables.

Overall, the receivables turnover ratio indicates a weakening in the efficiency of converting receivables into cash over the analyzed period. While initial values suggest reasonable collection practices, the prolonged decline raises concerns about potential issues with credit management and collection effectiveness. The most recent quarters demonstrate a particularly concerning trend, requiring attention to maintain healthy cash flow and minimize potential bad debt expenses.

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Working Capital Turnover

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

Microsoft Excel
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 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 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 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 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 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. 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. 3.59 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. 2.12 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. 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. 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. 1.75 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 1.93 1.91 1.90 1.97
Lam Research Corp. 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 1.80 1.72 1.51 1.41
NVIDIA Corp. 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. 3.03 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. 1.67 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: 2026-02-26), 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 Q2 2026 Calculation
Working capital turnover = (RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025 + RevenueQ3 2025) ÷ Working capital
= (23,860 + 13,643 + 11,315 + 9,301) ÷ 27,117 = 2.14

2 Click competitor name to see calculations.


The working capital turnover ratio for the analyzed period demonstrates considerable fluctuation. Initially, the ratio exhibited relative stability, followed by a period of decline, and then a resurgence towards the end of the observed timeframe. A detailed examination reveals distinct phases in the company’s operational efficiency regarding working capital utilization.

Initial Stability & Decline (Dec 2020 – Mar 2022)
From December 2020 through March 2022, the working capital turnover ratio remained relatively consistent, fluctuating between 1.95 and 2.17. This suggests a stable relationship between revenue generated and the level of working capital employed. However, a gradual downward trend is discernible during this period, decreasing from 2.04 in December 2020 to 2.14 in March 2022. This indicates a slightly decreasing efficiency in utilizing working capital to generate sales.
Significant Decline (Jun 2022 – Feb 2023)
A more pronounced decline in the ratio occurred from June 2022 to February 2023. The ratio decreased from 2.06 to 1.09, representing a substantial reduction in working capital efficiency. This period coincided with a decrease in revenue, but the decline in revenue was not sufficient to explain the magnitude of the ratio’s decrease, suggesting a potential build-up in working capital components (e.g., inventory, receivables) relative to sales. The lowest point was reached in February 2023 at 1.09.
Recovery & Growth (Mar 2023 – Aug 2025)
Beginning in March 2023, the working capital turnover ratio began a recovery phase. The ratio increased from 1.09 to 2.15 by August 2025. This improvement suggests a more effective utilization of working capital to drive revenue. The increase appears correlated with a significant rise in revenue during this period. The ratio reached 1.30 in May 2024, 1.66 in August 2024, and peaked at 2.15 in August 2025.
Recent Fluctuations (Aug 2025 – Feb 2026)
The most recent data points indicate some fluctuation. The ratio decreased to 2.40 in November 2025, then to 2.14 in February 2026. This suggests a potential shift in working capital management or a temporary change in the relationship between sales and working capital. The substantial increase in working capital to 27,117 in February 2026, coupled with a corresponding increase in revenue to 23,860, warrants further investigation to determine the underlying drivers of this change.

Overall, the working capital turnover ratio demonstrates a cyclical pattern. While the company initially maintained a stable level of efficiency, a period of decline was observed, followed by a strong recovery. Recent fluctuations suggest the need for continued monitoring to assess the sustainability of the improved performance and understand the factors influencing working capital utilization.

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Average Inventory Processing Period

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

Microsoft Excel
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 2.92 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 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. 165 161 157 169 160 156 149 140 130 133 135 120 106 101 86 91
Analog Devices Inc. 148 142 141 137 135 131 127 128 131 135 140 136 129 114 96 97 100 157 115 116 115
Applied Materials Inc. 151 148 144 142 139 139 144 148 147 148 149 152 157 157 151 140 131 129 130 138 143
Broadcom Inc. 49 40 40 38 36 34 41 45 55 62 60 61 61 63 62 57 53 45 40 35 33
Intel Corp. 123 122 111 124 125 124 127 130 125 128 131 136 133 126 121 123
KLA Corp. 245 248 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211 207 202 207 206
Lam Research Corp. 143 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124 126 131 135 132
NVIDIA Corp. 110 93 113 102 105 109 116 129 136 149 162 135 121 112 101 94 97 100
Qualcomm Inc. 121 121 121 121 128 137 133 138 141 148 144 140 138 124 112 102 93 83 87 83 88
Texas Instruments Inc. 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127

Based on: 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 Q2 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.92 = 125

2 Click competitor name to see calculations.


The average inventory processing period exhibited considerable fluctuation over the observed timeframe. Initially, a decreasing trend was apparent, followed by a period of instability and then a gradual improvement towards the end of the period.

Initial Decline (Dec 2020 - Sep 2021)
From December 3, 2020, to September 2, 2021, the average inventory processing period decreased consistently, moving from 133 days to 95 days. This indicates an increasing efficiency in managing inventory, with products spending less time in storage before being sold. The most significant reduction occurred between December 2020 and March 2021.
Period of Increase and Peak (Dec 2021 - Sep 2022)
Following the initial decline, the average inventory processing period began to increase. It rose to 192 days by September 1, 2022, representing the highest value in the observed period. This suggests a slowdown in inventory turnover and potentially challenges in demand forecasting or inventory management during this phase. The increase was particularly pronounced between March 2022 and September 2022.
Subsequent Stabilization and Improvement (Dec 2022 - Feb 2026)
After peaking in September 2022, the average inventory processing period generally trended downwards, although with some volatility. It decreased to 125 days by February 26, 2026. While fluctuations were present, the overall direction indicates a return to more efficient inventory management practices. The period from November 2025 to February 2026 shows a consistent decrease.
Recent Trend (May 2024 - Feb 2026)
Examining the most recent portion of the timeframe, from May 30, 2024, to February 29, 2026, the average inventory processing period demonstrates a relatively stable pattern, fluctuating between 164 and 168 days before decreasing to 125 days. This suggests a potential stabilization of inventory management processes, followed by a renewed focus on efficiency.

Overall, the observed pattern suggests a cyclical nature to inventory management efficiency, with periods of improvement followed by periods of challenge. The recent trend indicates a positive shift towards more efficient inventory processing.

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Average Receivable Collection Period

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

Microsoft Excel
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 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 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. 67 71 63 72 88 109 90 81 87 83 72 64 64 69 69 71
Analog Devices Inc. 42 48 55 51 47 52 42 35 38 44 46 46 47 55 57 60 71 73 46 48 52
Applied Materials Inc. 64 67 74 80 79 70 68 66 65 71 72 76 75 86 72 72 67 78 65 62 61
Broadcom Inc. 45 41 40 36 33 31 36 47 47 32 30 32 34 33 31 38 33 28 31 35 37
Intel Corp. 27 22 16 21 24 21 21 22 23 20 20 25 24 39 30 33
KLA Corp. 59 66 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72 69 68 73 63
Lam Research Corp. 62 68 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79 76 77 89 77
NVIDIA Corp. 61 54 65 57 54 57 60 68 79 58 52 63 65 67 63 59 60 57
Texas Instruments Inc. 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35

Based on: 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 Q2 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 3.36 = 109

2 Click competitor name to see calculations.


The average receivable collection period exhibited considerable fluctuation over the analyzed period, spanning from December 2020 to May 2025. An initial decreasing trend was followed by periods of increase and relative stability, culminating in a notable rise towards the end of the observation window.

Initial Decreasing Trend (Dec 2020 - Mar 2021)
The average receivable collection period decreased from 61 days in December 2020 to 52 days in March 2021. This suggests an improvement in the efficiency of collecting receivables during this timeframe, potentially due to more effective credit and collection policies or a change in customer payment behavior.
Fluctuation and Stabilization (Jun 2021 - Dec 2022)
Following the initial decrease, the collection period fluctuated between 61 and 70 days for several quarters before stabilizing around 63-65 days in late 2021. A subsequent increase to 70 days in June 2022 was followed by a significant drop to 45 days by December 2022. This period demonstrates inconsistency in collection efficiency, with the sharp decline in the final quarter of 2022 being a particularly noteworthy event.
Increasing Trend (Mar 2023 - Feb 2026)
Beginning in March 2023, a clear upward trend in the average collection period is observed. The period increased from 36 days to 86 days by February 2026. This represents a substantial lengthening of the time required to collect receivables. The period peaked at 109 days in February 2026, before decreasing slightly to 96 days in May 2025.
Recent Performance (Aug 2024 - May 2025)
The most recent measurements indicate a collection period of 96 days in August 2024, 93 days in November 2024, and 80 days in February 2025, and 76 days in May 2025. While there is some fluctuation, the collection period remains elevated compared to earlier periods in the analyzed timeframe. This suggests a continuing challenge in efficiently collecting receivables.

Overall, the trend indicates a deterioration in receivable collection efficiency over the latter portion of the analyzed period. The lengthening collection period could be indicative of several factors, including relaxed credit terms, increased credit risk, or operational inefficiencies in the collections process. Further investigation would be required to determine the underlying causes of this trend.

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Operating Cycle

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

No. days

Microsoft Excel
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 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 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 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. 232 232 220 241 248 265 239 221 217 216 207 184 170 170 155 162
Analog Devices Inc. 190 190 196 188 182 183 169 163 169 179 186 182 176 169 153 157 171 230 161 164 167
Applied Materials Inc. 215 215 218 222 218 209 212 214 212 219 221 228 232 243 223 212 198 207 195 200 204
Broadcom Inc. 94 81 80 74 69 65 77 92 102 94 90 93 95 96 93 95 86 73 71 70 70
Intel Corp. 150 144 127 145 149 145 148 152 148 148 151 161 157 165 151 156
KLA Corp. 304 314 315 321 333 345 350 345 355 325 310 304 304 299 290 282 285 283 276 270 280 269
Lam Research Corp. 205 219 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203 202 208 224 209
NVIDIA Corp. 171 147 178 159 159 166 176 197 215 207 214 198 186 179 164 153 157 157
Texas Instruments Inc. 272 284 293 296 292 284 268 264 262 262 253 225 196 180 174 162

Based on: 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 Q2 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 125 + 109 = 234

2 Click competitor name to see calculations.


The operating cycle, along with its component parts – average inventory processing period and average receivable collection period – exhibits notable fluctuations over the observed timeframe. An initial decreasing trend in both components is followed by periods of increase and relative stabilization, ultimately concluding with a renewed downward movement.

Average Inventory Processing Period
The average inventory processing period generally decreased from 133 days in December 2020 to 95 days in September 2021. Following this decline, the period increased significantly, peaking at 192 days in December 2022. Subsequently, a gradual decrease is observed, falling to 125 days by February 2026. The most substantial increase occurred between September 2021 and December 2022, suggesting a potential slowdown in inventory turnover during that period. The latter portion of the timeframe demonstrates a more consistent downward trend.
Average Receivable Collection Period
The average receivable collection period initially decreased from 61 days in December 2020 to 52 days in March 2021, before fluctuating around the 60-day mark through September 2021. A marked increase is then observed, reaching a high of 86 days in February 2024, followed by a peak of 96 days in August 2024. The period then declines to 88 days in February 2026. This suggests potential challenges in collecting receivables during the period from late 2023 through mid-2024.
Operating Cycle
The operating cycle mirrors the trends of its components. It decreased from 194 days in December 2020 to 158 days in March 2021, then experienced a period of relative stability before increasing substantially to 237 days in December 2022. The cycle then demonstrates a fluctuating pattern, ultimately decreasing to 217 days by February 2026. The peak in the operating cycle in December 2022 corresponds with the highest values observed for both the inventory processing and receivable collection periods, indicating a combined effect of slower inventory turnover and delayed collections. The most recent data suggests a potential improvement in the efficiency of the operating cycle.

Overall, the observed patterns suggest a dynamic operating environment. The increases in both inventory processing and receivable collection periods during specific periods warrant further investigation to determine the underlying causes, such as changes in sales volume, credit policies, or supply chain disruptions. The recent downward trends in both components and the overall operating cycle are positive indicators, but continued monitoring is recommended to assess their sustainability.

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