Stock Analysis on Net

Micron Technology Inc. (NASDAQ:MU)

Analysis of Short-term (Operating) Activity Ratios 

Microsoft Excel

Short-term Activity Ratios (Summary)

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

Microsoft Excel
Aug 28, 2025 Aug 29, 2024 Aug 31, 2023 Sep 1, 2022 Sep 2, 2021 Sep 3, 2020
Turnover Ratios
Inventory turnover 2.69 2.20 2.02 2.53 3.85 2.65
Receivables turnover 5.22 4.63 7.59 6.45 5.63 6.13
Payables turnover 7.19 7.15 9.83 7.87 9.91 6.79
Working capital turnover 2.15 1.66 0.94 2.16 2.05 1.89
Average No. Days
Average inventory processing period 136 166 181 144 95 138
Add: Average receivable collection period 70 79 48 57 65 59
Operating cycle 206 245 229 201 160 197
Less: Average payables payment period 51 51 37 46 37 54
Cash conversion cycle 155 194 192 155 123 143

Based on: 10-K (reporting date: 2025-08-28), 10-K (reporting date: 2024-08-29), 10-K (reporting date: 2023-08-31), 10-K (reporting date: 2022-09-01), 10-K (reporting date: 2021-09-02), 10-K (reporting date: 2020-09-03).


The financial ratios and period metrics reveal significant fluctuations in operational efficiency and liquidity management over the observed years.

Inventory Turnover
The inventory turnover ratio peaked at 3.85 in 2021, indicating faster inventory movement, but subsequently declined to 2.02 by 2023 before partially recovering to 2.69 in 2025. This suggests variability in inventory management efficiency, with slower turnover in the middle years reflecting potential overstocking or reduced sales velocity.
Receivables Turnover
Receivables turnover showed moderate variation, decreasing from 6.13 in 2020 to a low of 4.63 in 2024, then slightly increasing to 5.22 in 2025. The dip in turnover ratio indicates slower collections, corroborated by longer average collection periods during these years.
Payables Turnover
Payables turnover experienced notable fluctuations, reaching a high of 9.91 in 2021 and 9.83 in 2023, which suggests faster payment to suppliers in these periods. Yet, it slowed down thereafter, settling around 7.15-7.19 in the last two years, implying a more extended payment cycle.
Working Capital Turnover
The working capital turnover ratio increased slightly from 1.89 in 2020 to 2.16 in 2022 but sharply declined to 0.94 in 2023, before recovering to 2.15 by 2025. This sharp drop signals potential inefficiencies or liquidity constraints in 2023, partially resolved in later years.
Average Inventory Processing Period
The average days inventory held decreased significantly to 95 days in 2021, improving efficiency, but then increased dramatically to 181 days in 2023. The period slightly decreased afterward to 136 days by 2025, indicating attempts to reduce inventory holding times after the spike.
Average Receivable Collection Period
The collection period initially increased from 59 days in 2020 to 65 days in 2021, then decreased to 48 days in 2023, denoting improved collections. However, it lengthened substantially to 79 days in 2024 before dropping again to 70 days in 2025, highlighting inconsistent collections efficiency.
Operating Cycle
The operating cycle shortened from 197 days in 2020 to 160 days in 2021, reflecting enhanced operational efficiency, but lengthened considerably to 245 days in 2024. It decreased again to 206 days in 2025, confirming variability in the overall operation timeframe.
Average Payables Payment Period
The payables payment period shortened from 54 days in 2020 to 37 days in both 2021 and 2023, indicating quicker payments. The period then lengthened to 51 days in 2024 and remained stable in 2025, suggesting a shift toward more extended payment terms.
Cash Conversion Cycle
The cash conversion cycle improved from 143 days in 2020 to 123 days in 2021, suggesting more efficient cash flow management. However, it deteriorated significantly to 194 days in 2024 before improving to 155 days in 2025. This pattern indicates increased cash tied up in operations during mid-period years, with partial recovery afterward.

Overall, the data depicts a period of operational volatility characterized by fluctuating efficiency in inventory management, receivables collection, and payment practices. The middle years, especially 2023 and 2024, show signs of operational and liquidity challenges, as indicated by extended processing periods and cash conversion cycles. Recent years demonstrate efforts toward improvement, yet the metrics have not consistently returned to their more efficient earlier levels.

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Turnover Ratios


Average No. Days


Inventory Turnover

Micron Technology Inc., inventory turnover calculation, comparison to benchmarks

Microsoft Excel
Aug 28, 2025 Aug 29, 2024 Aug 31, 2023 Sep 1, 2022 Sep 2, 2021 Sep 3, 2020
Selected Financial Data (US$ in millions)
Cost of goods sold 22,505 19,498 16,956 16,860 17,282 14,883
Inventories 8,355 8,875 8,387 6,663 4,487 5,607
Short-term Activity Ratio
Inventory turnover1 2.69 2.20 2.02 2.53 3.85 2.65
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc. 2.21 2.28 2.81 3.45 4.35
Analog Devices Inc. 2.56 2.79 2.70 3.20 2.33 3.14
Applied Materials Inc. 2.46 2.63 2.47 2.33 2.82 2.44
Broadcom Inc. 9.07 10.83 5.86 5.77 8.18 10.34
Intel Corp. 2.97 2.93 2.92 2.74 3.27
KLA Corp. 1.48 1.29 1.47 1.67 1.76 1.87
Lam Research Corp. 2.20 1.86 2.00 2.36 2.91 2.86
NVIDIA Corp. 3.24 3.15 2.25 3.62 3.44
Qualcomm Inc. 3.02 2.66 2.47 2.94 4.42 3.56
Texas Instruments Inc. 1.58 1.45 1.63 2.27 3.12
Inventory Turnover, Sector
Semiconductors & Semiconductor Equipment 2.82 2.68 2.47 2.81 3.51
Inventory Turnover, Industry
Information Technology 7.96 7.91 8.05 8.67 10.50

Based on: 10-K (reporting date: 2025-08-28), 10-K (reporting date: 2024-08-29), 10-K (reporting date: 2023-08-31), 10-K (reporting date: 2022-09-01), 10-K (reporting date: 2021-09-02), 10-K (reporting date: 2020-09-03).

1 2025 Calculation
Inventory turnover = Cost of goods sold ÷ Inventories
= 22,505 ÷ 8,355 = 2.69

2 Click competitor name to see calculations.


The financial data reveals several notable trends in the cost of goods sold, inventories, and inventory turnover ratios over the analyzed periods from 2020 to 2025.

Cost of Goods Sold (COGS)
The COGS has shown a generally increasing trend over the six-year period. Starting at approximately $14.9 billion in 2020, the cost rose sharply to about $17.3 billion in 2021. Although there was a slight decline in 2022 to approximately $16.9 billion, the figure resumed its upward trajectory thereafter, reaching nearly $22.5 billion by 2025. This indicates growth in the scale of production or sales, possibly reflecting higher demand or increased input costs over time.
Inventories
Inventory levels displayed greater volatility. From around $5.6 billion in 2020, inventories decreased to about $4.5 billion in 2021, which may suggest improved inventory management or lower stock levels. However, inventories rose significantly in the subsequent years, peaking near $8.9 billion in 2024 before slightly declining to approximately $8.4 billion in 2025. The sharp increase post-2021 indicates accumulation of stock, potentially due to supply chain adjustments or anticipated higher sales volumes.
Inventory Turnover Ratio
The inventory turnover ratio, which measures how efficiently inventory is managed in relation to COGS, shows a fluctuating pattern. It increased from 2.65 in 2020 to a peak of 3.85 in 2021, indicating more efficient inventory usage or faster sales that year. However, the ratio dropped substantially in 2022 to 2.53 and declined further in 2023 to 2.02, suggesting slower inventory movement or increased holding periods. A moderate recovery is visible in the last two years with the ratio rising to 2.2 in 2024 and further to 2.69 in 2025, implying an improvement in inventory management but still below the 2021 peak efficiency.

Overall, the data suggests the company has experienced growth in production or sales volumes concurrent with fluctuating inventory levels and changing inventory management efficiency. The spike in inventories and the decline in turnover after 2021 may warrant attention to optimize stock control and working capital utilization going forward.

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Receivables Turnover

Micron Technology Inc., receivables turnover calculation, comparison to benchmarks

Microsoft Excel
Aug 28, 2025 Aug 29, 2024 Aug 31, 2023 Sep 1, 2022 Sep 2, 2021 Sep 3, 2020
Selected Financial Data (US$ in millions)
Revenue 37,378 25,111 15,540 30,758 27,705 21,435
Trade receivables 7,163 5,419 2,048 4,765 4,920 3,494
Short-term Activity Ratio
Receivables turnover1 5.22 4.63 7.59 6.45 5.63 6.13
Benchmarks
Receivables Turnover, Competitors2
Advanced Micro Devices Inc. 5.49 4.16 5.25 5.72 6.07
Analog Devices Inc. 7.67 7.05 8.37 6.67 5.02 7.60
Applied Materials Inc. 5.47 5.19 5.13 4.25 4.66 5.81
Broadcom Inc. 8.94 11.68 11.36 11.22 13.25 10.40
Intel Corp. 13.77 15.27 15.94 15.26 8.36
KLA Corp. 5.37 5.35 5.99 5.08 5.30 5.24
Lam Research Corp. 5.46 5.92 6.17 3.99 4.83 4.79
NVIDIA Corp. 5.66 6.09 7.05 5.79 6.86
Qualcomm Inc. 15.51 16.60 18.63 10.59 15.16 8.76
Texas Instruments Inc. 9.01 9.10 9.80 10.57 10.78
Receivables Turnover, Sector
Semiconductors & Semiconductor Equipment 6.98 7.47 8.69 7.52 7.48
Receivables Turnover, Industry
Information Technology 6.55 6.95 7.43 7.41 7.51

Based on: 10-K (reporting date: 2025-08-28), 10-K (reporting date: 2024-08-29), 10-K (reporting date: 2023-08-31), 10-K (reporting date: 2022-09-01), 10-K (reporting date: 2021-09-02), 10-K (reporting date: 2020-09-03).

1 2025 Calculation
Receivables turnover = Revenue ÷ Trade receivables
= 37,378 ÷ 7,163 = 5.22

2 Click competitor name to see calculations.


The annual financial data reveals several notable trends in the company's performance over the examined periods.

Revenue
Revenue shows a generally increasing trend across the years, with significant fluctuations in some periods. Starting at $21,435 million in 2020, revenue rises steadily to reach $30,758 million in 2022. However, there is a sharp decline to $15,540 million in 2023, followed by a strong recovery to $25,111 million in 2024 and further growth to $37,378 million in 2025. This pattern suggests the company experienced a substantial dip in revenue in 2023, which was then followed by a rebound and accelerated growth.
Trade Receivables
Trade receivables also follow a somewhat irregular trend. Beginning at $3,494 million in 2020, they increase to $4,920 million in 2021 before slightly declining to $4,765 million in 2022. A notable drop occurs in 2023 to $2,048 million, mirroring the revenue decrease during the same period. Subsequently, trade receivables rise again substantially in 2024 and 2025, reaching $5,419 million and $7,163 million, respectively. This movement indicates alignment with revenue trends, with lower receivables corresponding to weaker sales and increasing receivables corresponding to revenue expansion.
Receivables Turnover Ratio
The receivables turnover ratio shows variability across the periods. Initially, the ratio declines from 6.13 in 2020 to 5.63 in 2021, then increases to 6.45 in 2022 and peaks at 7.59 in 2023. This peak coincides with the lowest revenue and trade receivables figures, suggesting enhanced efficiency in collecting receivables during a challenging revenue year. However, the turnover ratio decreases sharply to 4.63 in 2024 and slightly recovers to 5.22 in 2025. These declines during revenue recovery periods may indicate extended collection periods or slower conversion of receivables into cash amid rising sales.

Overall, the data suggests the company experienced a pronounced dip in financial performance in 2023, affecting both revenue and receivables. Despite this downturn, operational efficiency in receivables collection improved temporarily during that year. Following the dip, both revenue and trade receivables increased substantially, albeit accompanied by a decrease in receivables turnover ratio, potentially indicating more lenient credit terms or collection challenges during rapid sales growth.

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Payables Turnover

Micron Technology Inc., payables turnover calculation, comparison to benchmarks

Microsoft Excel
Aug 28, 2025 Aug 29, 2024 Aug 31, 2023 Sep 1, 2022 Sep 2, 2021 Sep 3, 2020
Selected Financial Data (US$ in millions)
Cost of goods sold 22,505 19,498 16,956 16,860 17,282 14,883
Accounts payable 3,132 2,726 1,725 2,142 1,744 2,191
Short-term Activity Ratio
Payables turnover1 7.19 7.15 9.83 7.87 9.91 6.79
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc. 5.97 5.30 5.05 4.40 6.05
Analog Devices Inc. 7.81 8.30 8.98 7.70 6.30 8.42
Applied Materials Inc. 7.36 9.09 9.56 7.86 8.25 8.46
Broadcom Inc. 13.20 11.47 9.20 11.13 9.77 12.41
Intel Corp. 3.49 2.85 3.79 3.77 6.13
KLA Corp. 10.36 10.93 11.37 8.10 8.10 9.27
Lam Research Corp. 11.07 12.79 20.50 9.25 9.43 9.18
NVIDIA Corp. 5.17 6.16 9.74 5.29 5.23
Qualcomm Inc. 7.07 6.60 8.30 4.91 5.19 4.12
Texas Instruments Inc. 10.05 7.98 8.10 7.35 10.45
Payables Turnover, Sector
Semiconductors & Semiconductor Equipment 6.03 5.53 6.74 5.51 7.03
Payables Turnover, Industry
Information Technology 4.33 4.25 4.77 4.24 4.63

Based on: 10-K (reporting date: 2025-08-28), 10-K (reporting date: 2024-08-29), 10-K (reporting date: 2023-08-31), 10-K (reporting date: 2022-09-01), 10-K (reporting date: 2021-09-02), 10-K (reporting date: 2020-09-03).

1 2025 Calculation
Payables turnover = Cost of goods sold ÷ Accounts payable
= 22,505 ÷ 3,132 = 7.19

2 Click competitor name to see calculations.


Cost of Goods Sold
The cost of goods sold (COGS) exhibits an overall upward trend during the analyzed periods. Starting at 14,883 million USD, it increased significantly to 17,282 million USD in the following year. A slight decline to 16,860 million USD was observed the next year before resuming an upward trajectory, reaching 22,505 million USD in the final period. The fluctuations indicate variability likely influenced by market conditions or internal cost management strategies, but the general direction points to increased production costs or sales volume expansion over time.
Accounts Payable
Accounts payable values fluctuate across the periods, beginning at 2,191 million USD and decreasing to 1,744 million USD in the subsequent year. This was followed by a moderate recovery to 2,142 million USD, a dip to 1,725 million USD, and then a sharp rise to 2,726 million USD and 3,132 million USD in the last two periods. These variations suggest changes in the company's payment cycle or supplier credit terms, with a marked increase in the most recent years, potentially indicating extended payment terms or increased purchasing on credit.
Payables Turnover Ratio
The payables turnover ratio shows considerable variability, starting at 6.79 and peaking at 9.91 in the second period, which signifies faster payment to suppliers. It then decreased to 7.87 followed by another rise to 9.83, indicating more rapid payment cycles during these years. However, the final two periods see a decline and stabilization around 7.15-7.19, suggesting a deliberate slowdown in payments or slightly extended payment terms. The ratio's fluctuations reveal shifting management of short-term liabilities, possibly balancing liquidity needs and supplier relationships.

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Working Capital Turnover

Micron Technology Inc., working capital turnover calculation, comparison to benchmarks

Microsoft Excel
Aug 28, 2025 Aug 29, 2024 Aug 31, 2023 Sep 1, 2022 Sep 2, 2021 Sep 3, 2020
Selected Financial Data (US$ in millions)
Current assets 28,841 24,372 21,244 21,781 19,907 17,965
Less: Current liabilities 11,454 9,248 4,765 7,539 6,424 6,635
Working capital 17,387 15,124 16,479 14,242 13,483 11,330
 
Revenue 37,378 25,111 15,540 30,758 27,705 21,435
Short-term Activity Ratio
Working capital turnover1 2.15 1.66 0.94 2.16 2.05 1.89
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc. 1.98 2.19 2.25 2.73 3.78
Analog Devices Inc. 2.85 3.78 10.40 4.81 2.81 4.86
Applied Materials Inc. 2.20 2.13 2.25 3.02 2.36 1.93
Broadcom Inc. 4.89 17.80 2.66 2.90 2.66 4.32
Intel Corp. 1.65 4.55 3.56 3.45 2.61
KLA Corp. 1.84 1.83 2.27 2.14 1.93 1.92
Lam Research Corp. 2.32 1.74 1.93 2.23 1.80 1.31
NVIDIA Corp. 2.10 1.81 1.63 1.10 1.37
Qualcomm Inc. 2.67 2.65 2.79 4.99 4.13 2.39
Texas Instruments Inc. 1.67 1.37 1.48 1.81 1.65
Working Capital Turnover, Sector
Semiconductors & Semiconductor Equipment 2.25 2.55 2.24 2.55 2.38
Working Capital Turnover, Industry
Information Technology 6.08 8.80 5.76 6.43 4.29

Based on: 10-K (reporting date: 2025-08-28), 10-K (reporting date: 2024-08-29), 10-K (reporting date: 2023-08-31), 10-K (reporting date: 2022-09-01), 10-K (reporting date: 2021-09-02), 10-K (reporting date: 2020-09-03).

1 2025 Calculation
Working capital turnover = Revenue ÷ Working capital
= 37,378 ÷ 17,387 = 2.15

2 Click competitor name to see calculations.


Working Capital
The working capital exhibits an overall upward trend from 11,330 million USD in 2020 to 17,387 million USD in 2025, indicating an increasing availability of short-term assets over liabilities. There is a slight dip observed in 2024, where working capital decreased to 15,124 million USD from 16,479 million USD in 2023, however, it recovered strongly in 2025.
Revenue
Revenue shows a general growth trajectory, rising from 21,435 million USD in 2020 to 37,378 million USD in 2025. Notably, the year 2023 records a significant decline to 15,540 million USD, which represents a substantial drop compared to previous years. This drop in revenue is followed by a strong rebound in 2024 and 2025, indicating volatility in one year with a recovery phase afterward.
Working Capital Turnover
The working capital turnover ratio starts at 1.89 in 2020 and increases slightly to 2.16 in 2022, suggesting an improvement in how effectively the company uses working capital to generate revenue. In 2023, this ratio drops sharply to 0.94, reflecting the revenue decline relative to working capital. The ratio then recovers in the last two years, reaching 2.15 in 2025, close to the pre-2023 peak, indicating a return to efficient use of working capital.
Summary Insights
The data reveals stable growth in working capital and revenue with a notable anomaly in 2023, characterized by a sharp revenue drop and reduced efficiency in working capital turnover. The subsequent years show recovery and improvement, highlighting resilience and restored operational efficiency. The company appears to be managing its working capital well overall, as evidenced by the turnover ratio returning to prior levels alongside increased revenue and working capital.

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Average Inventory Processing Period

Micron Technology Inc., average inventory processing period calculation, comparison to benchmarks

Microsoft Excel
Aug 28, 2025 Aug 29, 2024 Aug 31, 2023 Sep 1, 2022 Sep 2, 2021 Sep 3, 2020
Selected Financial Data
Inventory turnover 2.69 2.20 2.02 2.53 3.85 2.65
Short-term Activity Ratio (no. days)
Average inventory processing period1 136 166 181 144 95 138
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Advanced Micro Devices Inc. 165 160 130 106 84
Analog Devices Inc. 142 131 135 114 157 116
Applied Materials Inc. 148 139 148 157 129 150
Broadcom Inc. 40 34 62 63 45 35
Intel Corp. 123 125 125 133 112
KLA Corp. 247 282 249 218 207 195
Lam Research Corp. 166 196 182 155 126 128
NVIDIA Corp. 113 116 162 101 106
Qualcomm Inc. 121 137 148 124 83 102
Texas Instruments Inc. 231 252 225 161 117
Average Inventory Processing Period, Sector
Semiconductors & Semiconductor Equipment 129 136 148 130 104
Average Inventory Processing Period, Industry
Information Technology 46 46 45 42 35

Based on: 10-K (reporting date: 2025-08-28), 10-K (reporting date: 2024-08-29), 10-K (reporting date: 2023-08-31), 10-K (reporting date: 2022-09-01), 10-K (reporting date: 2021-09-02), 10-K (reporting date: 2020-09-03).

1 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 2.69 = 136

2 Click competitor name to see calculations.


Inventory Turnover
The inventory turnover ratio exhibited significant fluctuations over the reported periods. Starting at 2.65 in 2020, it increased notably to 3.85 in 2021, indicating a higher frequency of inventory replacement during that year. However, the ratio decreased substantially to 2.53 in 2022 and continued to decline to its lowest point of 2.02 in 2023. Thereafter, it showed a modest recovery to 2.20 in 2024, followed by a further increase to 2.69 in 2025. This trend suggests variability in inventory management effectiveness, with a peak in 2021, a period of slowdown, and a gradual improvement thereafter.
Average Inventory Processing Period
The average inventory processing period, expressed in days, reflects the inverse pattern of the inventory turnover ratio. Starting from 138 days in 2020, the processing period decreased sharply to 95 days in 2021, consistent with the observed increase in turnover for that year. Following this, there was a marked lengthening of the processing period to 144 days in 2022 and a further extension to 181 days in 2023, which aligns with the decreases in inventory turnover during these years. The period shortened again to 166 days in 2024 and further to 136 days in 2025, mirroring the recovery trends identified in the turnover ratio. These changes indicate varying efficiencies in inventory handling and turnover throughout the years, with notable improvements in 2021 and the most recent year.
Overall Insights
The data reveals cyclical changes in inventory management efficiency, characterized by a notable improvement in 2021 followed by a period of reduced performance in 2022 and 2023. The subsequent recovery in the two most recent years suggests renewed efforts or market conditions conducive to better inventory turnover. The inverse relationship between inventory turnover and average inventory processing period is consistent across the observed periods, reinforcing the credibility of these metrics in reflecting operational shifts.

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Average Receivable Collection Period

Micron Technology Inc., average receivable collection period calculation, comparison to benchmarks

Microsoft Excel
Aug 28, 2025 Aug 29, 2024 Aug 31, 2023 Sep 1, 2022 Sep 2, 2021 Sep 3, 2020
Selected Financial Data
Receivables turnover 5.22 4.63 7.59 6.45 5.63 6.13
Short-term Activity Ratio (no. days)
Average receivable collection period1 70 79 48 57 65 59
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Advanced Micro Devices Inc. 67 88 70 64 60
Analog Devices Inc. 48 52 44 55 73 48
Applied Materials Inc. 67 70 71 86 78 63
Broadcom Inc. 41 31 32 33 28 35
Intel Corp. 27 24 23 24 44
KLA Corp. 68 68 61 72 69 70
Lam Research Corp. 67 62 59 91 76 76
NVIDIA Corp. 65 60 52 63 53
Qualcomm Inc. 24 22 20 34 24 42
Texas Instruments Inc. 41 40 37 35 34
Average Receivable Collection Period, Sector
Semiconductors & Semiconductor Equipment 52 49 42 49 49
Average Receivable Collection Period, Industry
Information Technology 56 53 49 49 49

Based on: 10-K (reporting date: 2025-08-28), 10-K (reporting date: 2024-08-29), 10-K (reporting date: 2023-08-31), 10-K (reporting date: 2022-09-01), 10-K (reporting date: 2021-09-02), 10-K (reporting date: 2020-09-03).

1 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.22 = 70

2 Click competitor name to see calculations.


Receivables Turnover Ratio
The receivables turnover ratio experienced fluctuations over the periods analyzed. Starting at 6.13 in 2020, it declined to 5.63 in 2021, suggesting a slight slowdown in the collection efficiency. However, it improved to 6.45 in 2022 and further increased to 7.59 in 2023, indicating enhanced effectiveness in managing receivables during these years. In 2024, a notable decline to 4.63 occurred, pointing towards potential challenges in receivables collection or changes in credit policy. The ratio partially recovered to 5.22 in 2025 but did not return to the higher levels seen in 2023.
Average Receivable Collection Period
The average collection period inversely mirrored the trends seen in the receivables turnover ratio. It started at 59 days in 2020, increased to 65 days in 2021, consistent with the reduced turnover ratio that year. Subsequently, it decreased to 57 days in 2022 and further declined to 48 days in 2023, reflecting improvements in collection efficiency. In 2024, the collection period rose sharply to 79 days, indicating slower collections and reduced liquidity of receivables. In 2025, it slightly decreased to 70 days but remained elevated compared to the earlier years.
Overall Observations
The data reveals a period of improved receivables management and faster collections from 2021 through 2023, highlighted by an increasing turnover ratio and decreasing average collection period. However, the year 2024 marked a significant deterioration in receivables efficiency, with a sharp increase in collection days and a corresponding drop in turnover ratio. The partial recovery in 2025 suggests some mitigation but indicates that receivables management challenges may persist. These trends may warrant further investigation into credit policies, customer payment behaviors, or external economic factors affecting collection performance.

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Operating Cycle

Micron Technology Inc., operating cycle calculation, comparison to benchmarks

No. days

Microsoft Excel
Aug 28, 2025 Aug 29, 2024 Aug 31, 2023 Sep 1, 2022 Sep 2, 2021 Sep 3, 2020
Selected Financial Data
Average inventory processing period 136 166 181 144 95 138
Average receivable collection period 70 79 48 57 65 59
Short-term Activity Ratio
Operating cycle1 206 245 229 201 160 197
Benchmarks
Operating Cycle, Competitors2
Advanced Micro Devices Inc. 232 248 200 170 144
Analog Devices Inc. 190 183 179 169 230 164
Applied Materials Inc. 215 209 219 243 207 213
Broadcom Inc. 81 65 94 96 73 70
Intel Corp. 150 149 148 157 156
KLA Corp. 315 350 310 290 276 265
Lam Research Corp. 233 258 241 246 202 204
NVIDIA Corp. 178 176 214 164 159
Qualcomm Inc. 145 159 168 158 107 144
Texas Instruments Inc. 272 292 262 196 151
Operating Cycle, Sector
Semiconductors & Semiconductor Equipment 181 185 190 179 153
Operating Cycle, Industry
Information Technology 102 99 94 91 84

Based on: 10-K (reporting date: 2025-08-28), 10-K (reporting date: 2024-08-29), 10-K (reporting date: 2023-08-31), 10-K (reporting date: 2022-09-01), 10-K (reporting date: 2021-09-02), 10-K (reporting date: 2020-09-03).

1 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 136 + 70 = 206

2 Click competitor name to see calculations.


Average Inventory Processing Period
The average inventory processing period demonstrates fluctuations over the observed periods. It decreased from 138 days in 2020 to 95 days in 2021, indicating improved inventory turnover efficiency. However, this was followed by an increase to 144 days in 2022 and peaked at 181 days in 2023, suggesting slowing inventory movement. Subsequently, the period declined to 166 days in 2024 and further to 136 days in 2025, showing a partial recovery towards earlier efficiency levels.
Average Receivable Collection Period
The average receivable collection period shows variability with no consistent trend. It increased slightly from 59 days in 2020 to 65 days in 2021, then declined to 57 days in 2022 and further to 48 days in 2023, reflecting improved collection efforts. However, a significant increase to 79 days occurred in 2024, followed by a reduction to 70 days in 2025. These fluctuations suggest challenges in maintaining consistent collection performance.
Operating Cycle
The operating cycle generally increased over the timeframe, starting at 197 days in 2020 and decreasing to 160 days in 2021, indicating a more efficient combined inventory and receivables management. Afterward, it escalated to 201 days in 2022, peaked at 229 days in 2023, and reached a high of 245 days in 2024 before contracting to 206 days in 2025. This overall rise in the operating cycle points to lengthening cash-to-cash cycles, potentially stressing working capital requirements, although the decline in the last period could signal improvements.

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Average Payables Payment Period

Micron Technology Inc., average payables payment period calculation, comparison to benchmarks

Microsoft Excel
Aug 28, 2025 Aug 29, 2024 Aug 31, 2023 Sep 1, 2022 Sep 2, 2021 Sep 3, 2020
Selected Financial Data
Payables turnover 7.19 7.15 9.83 7.87 9.91 6.79
Short-term Activity Ratio (no. days)
Average payables payment period1 51 51 37 46 37 54
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Advanced Micro Devices Inc. 61 69 72 83 60
Analog Devices Inc. 47 44 41 47 58 43
Applied Materials Inc. 50 40 38 46 44 43
Broadcom Inc. 28 32 40 33 37 29
Intel Corp. 105 128 96 97 60
KLA Corp. 35 33 32 45 45 39
Lam Research Corp. 33 29 18 39 39 40
NVIDIA Corp. 71 59 37 69 70
Qualcomm Inc. 52 55 44 74 70 89
Texas Instruments Inc. 36 46 45 50 35
Average Payables Payment Period, Sector
Semiconductors & Semiconductor Equipment 61 66 54 66 52
Average Payables Payment Period, Industry
Information Technology 84 86 77 86 79

Based on: 10-K (reporting date: 2025-08-28), 10-K (reporting date: 2024-08-29), 10-K (reporting date: 2023-08-31), 10-K (reporting date: 2022-09-01), 10-K (reporting date: 2021-09-02), 10-K (reporting date: 2020-09-03).

1 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 7.19 = 51

2 Click competitor name to see calculations.


Payables Turnover
The payables turnover ratio fluctuated over the analyzed periods, exhibiting a general pattern of variability rather than a consistent upward or downward trend. The ratio started at 6.79 in the earliest period, increased significantly to 9.91 in the following year, then declined to 7.87, increased again to 9.83, and subsequently decreased to around 7.15 and 7.19 in the last two periods. These oscillations suggest changes in how efficiently the company manages its obligations to suppliers, with noticeable peaks indicating periods of relatively faster payables turnover.
Average Payables Payment Period
The average number of days the company takes to pay its payables shows an inverse relationship to the payables turnover ratio, as expected. The payment period decreased sharply from 54 days to 37 days in the second period, increased to 46 days in the next, then reverted to 37 days, before increasing again to 51 days and remaining stable at 51 days in the last two periods. This trend indicates variability in payment practices, with some years reflecting quicker settlement of payables and others showing extended payment periods.
Overall Insights
The data suggests fluctuations in the company's payables management cycle over time. Periods with higher payables turnover ratios correlate with shorter average payment periods, reflecting more rapid payment to suppliers. Conversely, lower turnover ratios align with longer payment periods. The recent stability in payment period around 51 days, accompanied by a moderate payables turnover ratio just above 7, may indicate a standardized approach to supplier payments or changes in credit terms. These variations may affect the company's cash flow management and supplier relationships over the periods analyzed.

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Cash Conversion Cycle

Micron Technology Inc., cash conversion cycle calculation, comparison to benchmarks

No. days

Microsoft Excel
Aug 28, 2025 Aug 29, 2024 Aug 31, 2023 Sep 1, 2022 Sep 2, 2021 Sep 3, 2020
Selected Financial Data
Average inventory processing period 136 166 181 144 95 138
Average receivable collection period 70 79 48 57 65 59
Average payables payment period 51 51 37 46 37 54
Short-term Activity Ratio
Cash conversion cycle1 155 194 192 155 123 143
Benchmarks
Cash Conversion Cycle, Competitors2
Advanced Micro Devices Inc. 171 179 128 87 84
Analog Devices Inc. 143 139 138 122 172 121
Applied Materials Inc. 165 169 181 197 163 170
Broadcom Inc. 53 33 54 63 36 41
Intel Corp. 45 21 52 60 96
KLA Corp. 280 317 278 245 231 226
Lam Research Corp. 200 229 223 207 163 164
NVIDIA Corp. 107 117 177 95 89
Qualcomm Inc. 93 104 124 84 37 55
Texas Instruments Inc. 236 246 217 146 116
Cash Conversion Cycle, Sector
Semiconductors & Semiconductor Equipment 120 119 136 113 101
Cash Conversion Cycle, Industry
Information Technology 18 13 17 5 5

Based on: 10-K (reporting date: 2025-08-28), 10-K (reporting date: 2024-08-29), 10-K (reporting date: 2023-08-31), 10-K (reporting date: 2022-09-01), 10-K (reporting date: 2021-09-02), 10-K (reporting date: 2020-09-03).

1 2025 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 136 + 7051 = 155

2 Click competitor name to see calculations.


The analysis of the financial timing metrics over the reported periods reveals notable fluctuations and trends in the company's working capital management.

Average Inventory Processing Period
The duration for inventory processing exhibits variability, starting at 138 days and notably decreasing to 95 days in the second period. This improvement was temporary, as the period extended to a peak of 181 days in the fourth period, before declining again to 136 days in the latest period. This pattern suggests challenges in inventory turnover efficiency, with periods of both strong and weak performance.
Average Receivable Collection Period
The receivable collection period shows moderate fluctuations. It began at 59 days, increased to 65 days in the second period, then improved to a low of 48 days. However, it later increased significantly to 79 days before slightly improving to 70 days. This indicates inconsistencies in the effectiveness of receivables management, potentially impacting cash inflows.
Average Payables Payment Period
The payables payment period decreased from 54 days to 37 days in the second period, suggesting faster payment to suppliers. This period remained relatively low but showed some recovery to 51 days in the last two periods, indicating a possible strategic extension of payment terms to manage cash outflows more effectively.
Cash Conversion Cycle
The cash conversion cycle (CCC) displays an overall upward trend with substantial volatility. It decreased from 143 days to 123 days initially, which reflects improved cash flow efficiency. However, the CCC increased sharply to 192 days and 194 days in consecutive periods, indicating increased working capital tied up in operations. The latest figure of 155 days shows some improvement but remains elevated relative to earlier periods. This pattern reflects fluctuating operational efficiency and cash flow timing.

In summary, the company’s working capital management experienced significant variability across the reported years. While there were periods of improved efficiency—especially in inventory processing and receivables collection—these improvements were not consistently sustained. The extension in the cash conversion cycle in recent years suggests that more capital was tied up in operational processes, which could impact liquidity and financial flexibility. Managing inventory turnover and receivables collection more consistently, while optimizing payables payment terms, may enhance the company’s cash conversion cycle and overall financial health.

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