Stock Analysis on Net
Stock Analysis on Net

Marvell Technology Inc. (NASDAQ:MRVL)

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

Microsoft Excel

Short-term Activity Ratios (Summary)

Turnover Ratios

Average No. Days

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

Microsoft Excel
Aug 1, 2026 May 2, 2026 Jan 31, 2026 Nov 1, 2025 Aug 2, 2025 May 3, 2025 Feb 1, 2025 Nov 2, 2024 Aug 3, 2024 May 4, 2024 Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021
Turnover Ratios
Inventory turnover 3.32 3.02 2.89 3.79 3.81 3.45 3.29 3.78 3.61 3.73 3.72 3.40 3.04 2.92 2.74 2.97 2.96 3.21 3.33 3.37 4.06 2.84
Receivables turnover 4.26 4.66 3.75 5.04 4.98 5.68 5.61 5.39 4.98 6.06 4.91 4.53 4.65 5.79 4.97 4.20 4.27 4.26 4.26 4.00 4.40 4.48
Payables turnover 5.66 5.96 3.74 6.06 6.56 6.57 5.44 6.04 6.50 9.61 7.81 7.63 7.48 7.73 6.29 5.97 5.52 4.85 5.20 4.81 5.03 5.02
Working capital turnover 1.74 1.68 2.53 2.81 3.42 7.25 5.27 5.10 4.34 4.53 4.41 5.03 68.52 40.95 6.62 7.70 7.27 4.86 4.04 3.89 4.19 4.27
Average No. Days
Average inventory processing period 110 121 126 96 96 106 111 97 101 98 98 107 120 125 133 123 123 114 110 108 90 129
Add: Average receivable collection period 86 78 97 72 73 64 65 68 73 60 74 81 79 63 74 87 85 86 86 91 83 82
Operating cycle 196 199 223 168 169 170 176 165 174 158 172 188 199 188 207 210 208 200 196 199 173 211
Less: Average payables payment period 64 61 98 60 56 56 67 60 56 38 47 48 49 47 58 61 66 75 70 76 73 73
Cash conversion cycle 132 138 125 108 113 114 109 105 118 120 125 140 150 141 149 149 142 125 126 123 100 138

Based on: 10-Q (reporting date: 2026-08-01), 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).


Analysis of the operating activity ratios reveals a period of significant fluctuation in asset management and liability obligations, characterized by a general trend toward optimizing the cash conversion cycle followed by a recent increase in operational lag.

Inventory Management
Inventory turnover exhibited moderate volatility, peaking at 4.06 in July 2021 and reaching a low of 2.74 in January 2023. This is mirrored in the average inventory processing period, which ranged between 90 and 133 days. In the most recent periods, the processing period has stabilized between 110 and 126 days, suggesting a consistent but relatively slow turnover of stock.
Receivables and Collection Efficiency
Receivables turnover showed a general improvement trend, increasing from 4.48 in May 2021 to a peak of 6.06 in May 2024. This corresponds with a reduction in the average receivable collection period, which dropped from highs of 91 days to 60 days in May 2024. However, a recent deterioration is observable, with the collection period extending to 97 days in January 2026 before settling at 86 days in August 2026.
Payables and Payment Strategy
A distinct shift in payables management occurred through mid-2024. Payables turnover increased from 5.02 to a peak of 9.61 in May 2024, indicating a substantial acceleration in the payment of obligations. The average payables payment period reached a minimum of 38 days during the same period. More recently, the payment period has expanded back to the 60-64 day range, suggesting a strategic return to extended credit utilization.
Operating and Cash Conversion Cycles
The operating cycle generally contracted from 211 days in May 2021 to a low of 158 days in May 2024, although it experienced a sharp spike to 223 days in January 2026. The cash conversion cycle followed a similar pattern, trending downward from 138 days to a low of 105 days in November 2024, before rising again to 132 days by August 2026. This indicates a cyclic volatility in the company's ability to synchronize cash outflows for inventory with cash inflows from receivables.
Working Capital Efficiency
Working capital turnover displayed extreme volatility, with anomalous spikes to 40.95 and 68.52 in April and July 2023, respectively. Subsequent to these outliers, the ratio entered a sustained downward trajectory, falling to 1.68 in January 2026 and 1.74 in August 2026. This significant decline suggests a growing requirement for working capital to support current revenue levels.

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Inventory Turnover

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

Microsoft Excel
Aug 1, 2026 May 2, 2026 Jan 31, 2026 Nov 1, 2025 Aug 2, 2025 May 3, 2025 Feb 1, 2025 Nov 2, 2024 Aug 3, 2024 May 4, 2024 Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021
Selected Financial Data (US$ in thousands)
Cost of goods sold 1,283,700 1,157,000 1,070,800 1,004,700 995,500 942,900 900,000 1,166,700 685,300 633,100 762,400 867,400 819,800 764,500 745,200 760,000 730,900 696,000 656,544 623,425 704,051 414,138
Inventories 1,360,600 1,400,900 1,388,000 1,014,500 1,051,600 1,071,400 1,029,700 859,400 817,800 826,400 864,400 941,500 1,015,800 1,026,000 1,068,300 957,500 913,100 835,500 720,331 628,600 459,532 538,117
Short-term Activity Ratio
Inventory turnover1 3.32 3.02 2.89 3.79 3.81 3.45 3.29 3.78 3.61 3.73 3.72 3.40 3.04 2.92 2.74 2.97 2.96 3.21 3.33 3.37 4.06 2.84
Benchmarks
Inventory Turnover, Competitors2
Advanced Micro Devices Inc. — — — — 2.28 2.31 2.21 2.27 2.32 2.16 2.28 2.33 2.44 2.61 2.81 2.74 2.70 3.05 3.45 3.62 4.24 4.00
Analog Devices Inc. — — — 2.46 2.45 2.47 2.56 2.59 2.66 2.71 2.79 2.86 2.84 2.80 2.70 2.61 2.68 2.84 3.20 3.82 3.78 3.66
Applied Materials Inc. — — — 2.38 2.34 2.41 2.46 2.54 2.58 2.63 2.63 2.54 2.46 2.49 2.47 2.45 2.41 2.32 2.33 2.42 2.60 2.79
Broadcom Inc. — — — 6.15 5.53 7.42 9.07 9.12 9.59 10.09 10.83 8.92 8.09 6.67 5.86 6.10 6.00 5.98 5.77 5.92 6.40 6.95
Intel Corp. — — — — 2.80 2.79 2.97 3.00 3.28 2.95 2.93 2.94 2.87 2.81 2.92 2.85 2.78 2.68 2.74 2.90 3.02 2.97
KLA Corp. — — 1.44 1.47 1.49 1.47 1.48 1.44 1.44 1.33 1.29 1.29 1.28 1.37 1.47 1.54 1.63 1.59 1.67 1.71 1.75 1.73
Lam Research Corp. — — 2.69 2.71 2.56 2.43 2.20 2.00 1.95 1.95 1.86 1.75 1.77 1.84 2.00 2.14 2.16 2.24 2.36 2.60 2.89 2.95
Micron Technology Inc. — — 2.48 2.89 2.92 2.82 2.69 2.44 2.27 2.31 2.20 2.22 2.18 2.24 2.02 2.01 2.06 1.91 2.53 3.06 3.14 3.60
NVIDIA Corp. 2.43 2.54 2.92 2.83 3.33 3.92 3.24 3.57 3.47 3.36 3.15 2.83 2.68 2.45 2.25 2.70 3.02 3.25 3.62 3.87 3.75 3.63
Qualcomm Inc. — — — 2.41 2.73 3.02 3.02 3.02 3.02 2.84 2.66 2.74 2.64 2.58 2.47 2.54 2.61 2.65 2.94 3.27 3.58 3.90
Texas Instruments Inc. — — — — 1.76 1.68 1.58 1.52 1.45 1.44 1.45 1.51 1.59 1.60 1.63 1.65 1.70 1.92 2.27 2.56 2.74 2.88

Based on: 10-Q (reporting date: 2026-08-01), 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).

1 Q2 2027 Calculation
Inventory turnover = (Cost of goods soldQ2 2027 + Cost of goods soldQ1 2027 + Cost of goods soldQ4 2026 + Cost of goods soldQ3 2026) ÷ Inventories
= (1,283,700 + 1,157,000 + 1,070,800 + 1,004,700) ÷ 1,360,600 = 3.32

2 Click competitor name to see calculations.


The analysis of inventory turnover reveals a period of significant volatility characterized by cyclical fluctuations in operational efficiency. The turnover ratio fluctuated between a low of 2.74 and a peak of 4.06, reflecting shifts in the relationship between the cost of goods sold and the volume of inventory held.

Inventory Efficiency Trends
An initial peak in efficiency occurred in July 2021 with a turnover ratio of 4.06, followed by a gradual decline through January 2023, where the ratio reached its lowest point of 2.74. This decline coincided with a steady accumulation of inventory, which rose from approximately 459 million USD in July 2021 to over 1.06 billion USD by January 2023, suggesting a period where inventory growth outpaced the growth in cost of goods sold.
Inventory Optimization Phase
A recovery in turnover efficiency was observed between April 2023 and February 2024. During this period, the turnover ratio climbed from 2.92 to 3.73. This improvement was driven by a strategic reduction in inventory levels, which fell from 1.02 billion USD to 826 million USD, while the cost of goods sold remained relatively stable or increased slightly, indicating more lean inventory management.
Recent Operational Volatility
From May 2024 through August 2026, the turnover ratio exhibited renewed instability. A notable surge in inventory levels occurred between November 2025 and January 2026, with inventories increasing from 1.01 billion USD to 1.38 billion USD. This surge led to a sharp contraction in the turnover ratio to 2.89 in January 2026. However, a gradual recovery followed, with the ratio rising to 3.32 by August 2026 as cost of goods sold increased to 1.28 billion USD.

Overall, the data indicates a pattern where periodic inventory build-ups lead to temporary declines in turnover efficiency, followed by correction phases where inventory is either depleted or sales volume increases sufficiently to restore the ratio. The most recent trend shows a significant expansion in the inventory base, accompanied by a corresponding rise in the cost of goods sold to maintain turnover levels above 3.00.

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Receivables Turnover

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

Microsoft Excel
Aug 1, 2026 May 2, 2026 Jan 31, 2026 Nov 1, 2025 Aug 2, 2025 May 3, 2025 Feb 1, 2025 Nov 2, 2024 Aug 3, 2024 May 4, 2024 Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021
Selected Financial Data (US$ in thousands)
Net revenue 2,739,300 2,417,800 2,218,700 2,074,500 2,006,100 1,895,300 1,817,400 1,516,100 1,272,900 1,160,900 1,426,500 1,418,600 1,340,900 1,321,700 1,418,500 1,537,300 1,516,900 1,446,900 1,342,978 1,211,245 1,075,881 832,279
Accounts receivable, net 2,218,400 1,871,700 2,186,600 1,546,300 1,451,700 1,144,000 1,028,400 997,900 1,060,100 881,900 1,121,600 1,214,600 1,209,200 1,000,900 1,192,200 1,390,700 1,291,300 1,191,100 1,048,583 978,261 785,611 694,395
Short-term Activity Ratio
Receivables turnover1 4.26 4.66 3.75 5.04 4.98 5.68 5.61 5.39 4.98 6.06 4.91 4.53 4.65 5.79 4.97 4.20 4.27 4.26 4.26 4.00 4.40 4.48
Benchmarks
Receivables Turnover, Competitors2
Advanced Micro Devices Inc. — — — — 5.67 6.21 5.49 5.16 5.79 5.10 4.16 3.36 4.05 4.53 4.22 4.37 5.07 5.71 5.72 5.26 5.33 5.13
Analog Devices Inc. — — — 5.81 6.21 8.64 7.67 6.69 7.10 7.83 7.05 8.61 10.42 9.67 8.37 7.94 7.96 7.72 6.67 6.37 6.07 5.16
Applied Materials Inc. — — — 4.01 4.55 5.67 5.47 4.96 4.54 4.61 5.19 5.40 5.55 5.64 5.13 5.08 4.83 4.88 4.25 5.08 5.09 5.49
Broadcom Inc. — — — 6.50 6.97 8.07 8.94 9.23 10.25 11.00 11.68 10.04 7.75 7.82 11.36 12.17 11.56 10.64 11.22 11.70 9.73 11.23
Intel Corp. — — — — 14.14 13.22 13.77 16.69 22.49 17.31 15.27 17.38 17.60 16.62 15.94 18.59 18.04 14.66 15.26 9.31 12.11 10.98
KLA Corp. — — 4.70 5.68 6.15 5.50 5.37 5.35 4.65 5.25 5.35 5.91 5.25 6.24 5.99 5.48 4.59 5.30 5.08 5.34 4.72 5.10
Lam Research Corp. — — 4.35 5.25 5.89 5.39 5.46 5.31 4.90 5.31 5.92 6.46 5.29 5.63 6.17 5.78 4.68 3.94 3.99 4.52 4.86 4.64
Micron Technology Inc. — — 3.68 2.91 3.36 4.15 4.03 4.55 4.82 3.92 3.80 4.17 4.26 5.50 6.36 7.48 10.12 8.18 6.00 5.20 5.79 5.64
NVIDIA Corp. 4.80 6.23 5.61 5.60 5.94 6.71 5.66 6.40 6.81 6.45 6.09 5.40 4.63 6.34 7.05 5.82 5.59 5.43 5.79 6.14 6.11 6.37
Texas Instruments Inc. — — — — 7.72 8.21 9.01 8.37 8.62 8.63 9.10 8.44 9.41 10.05 9.80 9.17 9.62 10.39 10.57 9.90 8.95 10.56

Based on: 10-Q (reporting date: 2026-08-01), 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).

1 Q2 2027 Calculation
Receivables turnover = (Net revenueQ2 2027 + Net revenueQ1 2027 + Net revenueQ4 2026 + Net revenueQ3 2026) ÷ Accounts receivable, net
= (2,739,300 + 2,417,800 + 2,218,700 + 2,074,500) ÷ 2,218,400 = 4.26

2 Click competitor name to see calculations.


An analysis of the operating activity indicates a sustained long-term increase in net revenue, which grew from 832.28 million US dollars in May 2021 to 2.74 billion US dollars by August 2026. This growth was accompanied by a corresponding increase in net accounts receivable, although the relationship between revenue generation and collection efficiency fluctuated across different periods.

Revenue and Receivables Correlation
A strong positive correlation exists between net revenue and accounts receivable. As revenue expanded, the balance of receivables generally increased, reflecting a larger volume of credit sales. However, the rate of growth in receivables did not always mirror the rate of revenue growth, leading to shifts in the receivables turnover ratio.
Receivables Turnover Efficiency Trends
The receivables turnover ratio exhibited three distinct phases. From May 2021 to October 2022, the ratio remained relatively stable, fluctuating within a narrow range between 4.00 and 4.48. A period of improved collection efficiency occurred between January 2023 and February 2024, during which the ratio peaked at 6.06. This indicates a more rapid conversion of receivables into cash during this timeframe.
Recent Performance and Volatility
Between February 2024 and August 2026, a trend of increased volatility is observed. Despite continuing revenue growth, the turnover ratio experienced a significant decline, reaching a period low of 3.75 in January 2026. This decline suggests a temporary lag in collections or a shift in credit terms as the company scaled operations. While the ratio recovered to 4.26 by August 2026, it remains below the efficiency peaks seen in early 2024.

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Payables Turnover

Marvell Technology Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Aug 1, 2026 May 2, 2026 Jan 31, 2026 Nov 1, 2025 Aug 2, 2025 May 3, 2025 Feb 1, 2025 Nov 2, 2024 Aug 3, 2024 May 4, 2024 Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021
Selected Financial Data (US$ in thousands)
Cost of goods sold 1,283,700 1,157,000 1,070,800 1,004,700 995,500 942,900 900,000 1,166,700 685,300 633,100 762,400 867,400 819,800 764,500 745,200 760,000 730,900 696,000 656,544 623,425 704,051 414,138
Accounts payable 797,900 709,700 1,073,800 633,700 610,700 562,700 622,200 538,100 453,400 320,900 411,300 419,100 412,800 388,400 465,800 476,200 490,300 553,100 461,509 440,592 370,502 304,425
Short-term Activity Ratio
Payables turnover1 5.66 5.96 3.74 6.06 6.56 6.57 5.44 6.04 6.50 9.61 7.81 7.63 7.48 7.73 6.29 5.97 5.52 4.85 5.20 4.81 5.03 5.02
Benchmarks
Payables Turnover, Competitors2
Advanced Micro Devices Inc. — — — — 3.61 6.21 5.97 4.76 5.03 6.28 5.30 4.19 5.75 6.54 5.05 4.73 3.98 4.50 4.40 4.46 5.97 5.78
Analog Devices Inc. — — — 6.96 7.56 7.96 7.81 8.43 9.43 10.84 8.30 9.63 9.94 10.91 8.98 7.62 7.76 8.09 7.70 8.43 9.01 8.17
Broadcom Inc. — — — 6.96 10.24 10.41 13.20 13.88 14.92 10.10 11.47 9.62 10.34 8.56 9.20 11.34 13.62 12.31 11.13 15.27 9.98 9.80
Intel Corp. — — — — 4.00 4.85 3.49 3.35 3.49 3.33 2.85 3.20 3.36 3.78 3.79 3.77 3.81 4.30 3.77 5.21 4.63 4.92
KLA Corp. — — 8.43 9.80 11.52 11.28 10.36 10.61 10.10 10.97 10.93 10.94 10.33 11.34 11.37 10.30 7.77 7.96 8.10 7.98 8.43 7.79
Lam Research Corp. — — 8.84 10.12 10.05 11.50 11.07 10.44 10.33 11.63 12.79 14.24 15.69 16.55 20.50 17.34 11.33 8.52 9.25 8.99 9.31 10.12
NVIDIA Corp. 5.10 5.00 6.37 6.50 5.50 6.06 5.17 5.11 6.29 7.26 6.16 5.68 5.99 9.91 9.74 8.08 4.86 5.13 5.29 5.19 5.38 5.94
Qualcomm Inc. — — — 6.96 6.76 7.44 7.07 8.20 7.56 6.94 6.60 6.37 6.95 7.52 8.30 9.67 12.50 7.17 4.91 4.72 4.37 4.28
Texas Instruments Inc. — — — — 11.92 12.33 10.05 9.42 7.94 7.78 7.98 8.19 7.62 11.89 8.10 9.03 6.87 6.63 7.35 7.89 8.46 9.27

Based on: 10-Q (reporting date: 2026-08-01), 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).

1 Q2 2027 Calculation
Payables turnover = (Cost of goods soldQ2 2027 + Cost of goods soldQ1 2027 + Cost of goods soldQ4 2026 + Cost of goods soldQ3 2026) ÷ Accounts payable
= (1,283,700 + 1,157,000 + 1,070,800 + 1,004,700) ÷ 797,900 = 5.66

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a dynamic relationship between the cost of goods sold and accounts payable over the observed period. While the cost of goods sold exhibited a long-term upward trajectory, the payables turnover ratio experienced significant volatility, shifting from a period of initial stability to a phase of acceleration, followed by a notable deceleration and subsequent stabilization.

Payables Turnover Trajectory
The payables turnover ratio remained relatively stable between May 2021 and January 2022, fluctuating within a narrow range of 4.81 to 5.20. A subsequent upward trend emerged starting in July 2022, culminating in a peak of 9.61 by February 2024. This progression indicates an acceleration in the rate at which obligations to suppliers were settled relative to the cost of sales. Following this peak, the ratio underwent a correction, returning to a range between 5.44 and 6.57 throughout most of 2024 and 2025.
Impact of Accounts Payable Volatility
Accounts payable levels demonstrated considerable variance, particularly in the latter half of the analyzed period. A significant spike in accounts payable was observed in January 2026, reaching 1,073,800 thousand US dollars. This surge corresponds with the lowest recorded payables turnover ratio of 3.74, indicating a temporary extension of payment terms or a substantial increase in procurement on credit. By August 2026, accounts payable moderated to 797,900 thousand US dollars, and the turnover ratio stabilized at 5.66.
Correlation with Cost of Goods Sold
The cost of goods sold grew substantially from 414,138 thousand US dollars in May 2021 to 1,283,700 thousand US dollars by August 2026. The general increase in operational scale is evident, though the payables turnover suggests that credit utilization did not scale linearly with costs. The period between April 2023 and February 2024 is characterized by the highest turnover rates, suggesting a period of aggressive liability management despite rising cost of sales.

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Working Capital Turnover

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

Microsoft Excel
Aug 1, 2026 May 2, 2026 Jan 31, 2026 Nov 1, 2025 Aug 2, 2025 May 3, 2025 Feb 1, 2025 Nov 2, 2024 Aug 3, 2024 May 4, 2024 Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021
Selected Financial Data (US$ in thousands)
Current assets 7,919,300 7,464,000 6,460,600 5,512,500 4,512,900 3,837,600 3,120,300 2,816,800 2,763,900 2,647,700 3,062,700 2,973,200 2,767,200 3,202,900 3,281,100 3,179,300 2,915,000 2,598,900 2,493,450 2,244,814 1,908,477 1,887,811
Less: Current liabilities 2,499,500 2,276,800 3,220,500 2,736,700 2,399,300 2,941,400 2,026,800 1,763,600 1,546,500 1,467,700 1,814,200 1,879,600 2,685,200 3,061,400 2,386,700 2,420,200 2,155,800 1,554,100 1,388,542 1,237,537 1,084,433 1,160,103
Working capital 5,419,800 5,187,200 3,240,100 2,775,800 2,113,600 896,200 1,093,500 1,053,200 1,217,400 1,180,000 1,248,500 1,093,600 82,000 141,500 894,400 759,100 759,200 1,044,800 1,104,908 1,007,277 824,044 727,708
 
Net revenue 2,739,300 2,417,800 2,218,700 2,074,500 2,006,100 1,895,300 1,817,400 1,516,100 1,272,900 1,160,900 1,426,500 1,418,600 1,340,900 1,321,700 1,418,500 1,537,300 1,516,900 1,446,900 1,342,978 1,211,245 1,075,881 832,279
Short-term Activity Ratio
Working capital turnover1 1.74 1.68 2.53 2.81 3.42 7.25 5.27 5.10 4.34 4.53 4.41 5.03 68.52 40.95 6.62 7.70 7.27 4.86 4.04 3.89 4.19 4.27
Benchmarks
Working Capital Turnover, Competitors2
Advanced Micro Devices Inc. — — — — 2.12 2.07 1.98 2.09 2.02 2.00 2.19 2.16 2.07 2.15 2.25 2.44 2.45 2.54 2.73 2.95 2.72 2.42
Analog Devices Inc. — — — 9.80 3.80 3.59 2.85 2.63 3.39 3.38 3.78 4.38 5.52 7.75 10.40 6.41 6.13 4.61 4.81 4.94 4.23 3.50
Applied Materials Inc. — — — 2.09 2.14 2.12 2.20 2.42 2.40 2.13 2.13 2.00 2.14 2.19 2.25 2.49 2.69 2.77 3.02 2.93 2.89 2.56
Broadcom Inc. — — — 2.84 3.23 4.49 4.89 7.23 36.01 681.61 17.80 64.48 8.31 5.70 2.66 3.23 3.38 3.03 2.90 3.58 3.80 3.15
Intel Corp. — — — — 2.65 1.52 1.65 2.75 6.31 5.33 4.55 4.94 2.93 3.59 3.56 3.48 3.34 2.70 3.45 3.24 3.14 2.34
KLA Corp. — — 1.68 1.72 1.75 1.83 1.84 1.91 1.93 1.89 1.83 1.89 2.31 2.20 2.27 2.31 2.25 2.19 2.14 2.30 2.08 2.06
Lam Research Corp. — — 2.40 2.69 2.63 2.42 2.32 2.15 1.96 1.91 1.74 1.77 1.63 1.81 1.93 2.03 2.08 2.10 2.23 2.18 2.01 2.04
Micron Technology Inc. — — 2.09 1.91 2.14 2.40 2.15 1.90 1.86 1.88 1.66 1.30 1.07 1.07 0.94 1.09 1.39 1.66 2.16 2.06 2.14 2.17
NVIDIA Corp. 1.96 2.37 2.31 2.07 2.12 2.34 2.10 2.21 2.11 2.07 1.81 1.90 1.77 1.47 1.63 1.75 1.50 1.23 1.10 1.09 1.03 1.36
Qualcomm Inc. — — — 3.80 3.33 3.03 2.67 2.53 2.56 2.53 2.65 2.75 2.41 2.54 2.79 3.21 3.66 3.90 4.99 5.88 4.80 4.53
Texas Instruments Inc. — — — — 1.55 1.72 1.67 1.60 1.39 1.51 1.37 1.29 1.22 1.21 1.48 1.46 1.47 1.61 1.81 1.84 1.87 1.65

Based on: 10-Q (reporting date: 2026-08-01), 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).

1 Q2 2027 Calculation
Working capital turnover = (Net revenueQ2 2027 + Net revenueQ1 2027 + Net revenueQ4 2026 + Net revenueQ3 2026) ÷ Working capital
= (2,739,300 + 2,417,800 + 2,218,700 + 2,074,500) ÷ 5,419,800 = 1.74

2 Click competitor name to see calculations.


An analysis of the working capital turnover reveals a period of high volatility followed by a significant decline in efficiency during the latter part of the observed timeframe. While net revenue demonstrated a consistent upward trajectory, the movement of working capital was erratic, leading to substantial fluctuations in the turnover ratio.

Revenue Growth Trends
Net revenue experienced sustained growth, rising from 832.3 million US dollars in May 2021 to 2.74 billion US dollars by August 2026. This steady increase suggests a consistent expansion in top-line performance over the five-year period.
Working Capital Volatility
Working capital exhibited extreme fluctuations. A notable contraction occurred between April 2023 and July 2023, where values dropped to a low of 82 million US dollars. Subsequently, a massive expansion began in May 2025, with working capital escalating from 896.2 million US dollars to 5.42 billion US dollars by August 2026.
Working Capital Turnover Anomalies
The turnover ratio showed an artificial spike during the second quarter of 2023, peaking at 68.52. This anomaly was driven by the sharp decrease in the working capital denominator rather than a corresponding surge in revenue. Once working capital levels normalized in late 2023, the ratio returned to a range between 4.34 and 5.27.
Long-term Efficiency Decline
From May 2025 through August 2026, a clear downward trend in the working capital turnover ratio is observed, falling from 7.25 to 1.74. This decline indicates that working capital grew at a rate far exceeding revenue growth, suggesting a decrease in the efficiency of short-term asset utilization to generate sales.

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Average Inventory Processing Period

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

Microsoft Excel
Aug 1, 2026 May 2, 2026 Jan 31, 2026 Nov 1, 2025 Aug 2, 2025 May 3, 2025 Feb 1, 2025 Nov 2, 2024 Aug 3, 2024 May 4, 2024 Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021
Selected Financial Data
Inventory turnover 3.32 3.02 2.89 3.79 3.81 3.45 3.29 3.78 3.61 3.73 3.72 3.40 3.04 2.92 2.74 2.97 2.96 3.21 3.33 3.37 4.06 2.84
Short-term Activity Ratio (no. days)
Average inventory processing period1 110 121 126 96 96 106 111 97 101 98 98 107 120 125 133 123 123 114 110 108 90 129
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Advanced Micro Devices Inc. — — — — 160 158 165 161 157 169 160 156 149 140 130 133 135 120 106 101 86 91
Analog Devices Inc. — — — 148 149 148 142 141 137 135 131 127 128 131 135 140 136 129 114 96 97 100
Applied Materials Inc. — — — 154 156 151 148 144 142 139 139 144 148 147 148 149 152 157 157 151 140 131
Broadcom Inc. — — — 59 66 49 40 40 38 36 34 41 45 55 62 60 61 61 63 62 57 53
Intel Corp. — — — — 130 131 123 122 111 124 125 124 127 130 125 128 131 136 133 126 121 123
KLA Corp. — — 253 248 245 248 247 253 254 275 282 283 285 266 249 237 225 230 218 214 208 211
Lam Research Corp. — — 136 135 143 151 166 183 187 188 196 208 206 198 182 171 169 163 155 140 126 124
Micron Technology Inc. — — 147 126 125 129 136 150 161 158 166 164 168 163 181 182 177 192 144 119 116 101
NVIDIA Corp. 150 144 125 129 110 93 113 102 105 109 116 129 136 149 162 135 121 112 101 94 97 100
Qualcomm Inc. — — — 152 134 121 121 121 121 128 137 133 138 141 148 144 140 138 124 112 102 93
Texas Instruments Inc. — — — — 207 218 231 240 251 254 252 241 229 228 225 222 215 190 161 143 133 127

Based on: 10-Q (reporting date: 2026-08-01), 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).

1 Q2 2027 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 3.32 = 110

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals significant fluctuations in inventory management efficiency over the observed period. A consistent inverse correlation is maintained between the inventory turnover ratio and the average inventory processing period, reflecting shifts in the velocity at which inventory is converted into sales.

Inventory Turnover Trends
The inventory turnover ratio exhibited high volatility during the initial period, peaking at 4.06 in July 2021 before entering a period of relative decline and stagnation between October 2021 and April 2023, where it reached a low of 2.74. A recovery phase occurred from February 2024 through November 2025, with the ratio generally stabilizing between 3.29 and 3.81. A subsequent decline was noted in January 2026, reaching 2.89, followed by a moderate recovery to 3.32 by August 2026.
Average Inventory Processing Period Analysis
The processing period mirrored the turnover trends, starting at 129 days and dropping sharply to 90 days in July 2021. A gradual deterioration in efficiency followed, with the processing period climbing to a peak of 133 days by January 2023. A notable period of optimization was observed between October 2023 and November 2024, during which the processing period remained consistently below 101 days, reaching a low of 97 days. This efficiency was partially lost in early 2026, as the period spiked to 126 days in January 2026 before descending to 110 days by August 2026.
Operational Efficiency Insights
The data suggests three distinct operational phases. First, a period of instability between 2021 and early 2023 characterized by lengthening processing times. Second, a phase of improved operational leaness from late 2023 through 2024, where inventory was moved more rapidly. Third, a recent phase of renewed volatility in 2026, indicating potential shifts in demand patterns or supply chain adjustments that temporarily slowed inventory throughput before a partial correction in the final quarter of the data set.

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Average Receivable Collection Period

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

Microsoft Excel
Aug 1, 2026 May 2, 2026 Jan 31, 2026 Nov 1, 2025 Aug 2, 2025 May 3, 2025 Feb 1, 2025 Nov 2, 2024 Aug 3, 2024 May 4, 2024 Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021
Selected Financial Data
Receivables turnover 4.26 4.66 3.75 5.04 4.98 5.68 5.61 5.39 4.98 6.06 4.91 4.53 4.65 5.79 4.97 4.20 4.27 4.26 4.26 4.00 4.40 4.48
Short-term Activity Ratio (no. days)
Average receivable collection period1 86 78 97 72 73 64 65 68 73 60 74 81 79 63 74 87 85 86 86 91 83 82
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Advanced Micro Devices Inc. — — — — 64 59 67 71 63 72 88 109 90 81 87 83 72 64 64 69 69 71
Analog Devices Inc. — — — 63 59 42 48 55 51 47 52 42 35 38 44 46 46 47 55 57 60 71
Applied Materials Inc. — — — 91 80 64 67 74 80 79 70 68 66 65 71 72 76 75 86 72 72 67
Broadcom Inc. — — — 56 52 45 41 40 36 33 31 36 47 47 32 30 32 34 33 31 38 33
Intel Corp. — — — — 26 28 27 22 16 21 24 21 21 22 23 20 20 25 24 39 30 33
KLA Corp. — — 78 64 59 66 68 68 79 70 68 62 70 59 61 67 79 69 72 68 77 72
Lam Research Corp. — — 84 70 62 68 67 69 74 69 62 56 69 65 59 63 78 93 91 81 75 79
Micron Technology Inc. — — 99 125 109 88 90 80 76 93 96 88 86 66 57 49 36 45 61 70 63 65
NVIDIA Corp. 76 59 65 65 61 54 65 57 54 57 60 68 79 58 52 63 65 67 63 59 60 57
Texas Instruments Inc. — — — — 47 44 41 44 42 42 40 43 39 36 37 40 38 35 35 37 41 35

Based on: 10-Q (reporting date: 2026-08-01), 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).

1 Q2 2027 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 4.26 = 86

2 Click competitor name to see calculations.


The average receivable collection period exhibits a general trajectory of improvement from 2021 through early 2024, characterized by a reduction in the time required to convert credit sales into cash, followed by a period of increased volatility and a recent decline in efficiency.

Collection Period Trends
Between May 2021 and October 2022, the collection period remained relatively elevated, fluctuating between 82 and 91 days. A notable shift toward higher efficiency began in January 2023, with the collection period dropping to 74 days and reaching a cyclical low of 60 days by May 2024. This indicates a period of optimized credit management and faster cash realization.
From August 2024 through November 2025, the collection period stabilized primarily between 64 and 73 days. However, a significant spike occurred in January 2026, where the period extended to 97 days—the highest value recorded in the entire dataset—before receding to 86 days by August 2026.
Receivables Turnover Correlation
A consistent inverse relationship is observed between the receivables turnover ratio and the average collection period. The peak turnover ratio of 6.06 recorded in May 2024 corresponds directly with the minimum collection period of 60 days, highlighting maximum operational efficiency in receivables management during this window.
Conversely, the lowest turnover ratio of 3.75 in January 2026 aligns with the peak collection period of 97 days. This synchronization suggests a temporary slowdown in the collection process or a change in credit terms offered to customers during that quarter.
Overall Operational Efficiency
The transition from a baseline of approximately 85 days in 2021-2022 to a range of 60-70 days in 2023-2025 suggests a systemic improvement in the company's ability to manage its short-term operating assets. Despite the volatility observed in early 2026, the long-term trend indicates a more aggressive or effective collection strategy compared to the initial analysis period.

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Operating Cycle

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

No. days

Microsoft Excel
Aug 1, 2026 May 2, 2026 Jan 31, 2026 Nov 1, 2025 Aug 2, 2025 May 3, 2025 Feb 1, 2025 Nov 2, 2024 Aug 3, 2024 May 4, 2024 Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021
Selected Financial Data
Average inventory processing period 110 121 126 96 96 106 111 97 101 98 98 107 120 125 133 123 123 114 110 108 90 129
Average receivable collection period 86 78 97 72 73 64 65 68 73 60 74 81 79 63 74 87 85 86 86 91 83 82
Short-term Activity Ratio
Operating cycle1 196 199 223 168 169 170 176 165 174 158 172 188 199 188 207 210 208 200 196 199 173 211
Benchmarks
Operating Cycle, Competitors2
Advanced Micro Devices Inc. — — — — 224 217 232 232 220 241 248 265 239 221 217 216 207 184 170 170 155 162
Analog Devices Inc. — — — 211 208 190 190 196 188 182 183 169 163 169 179 186 182 176 169 153 157 171
Applied Materials Inc. — — — 245 236 215 215 218 222 218 209 212 214 212 219 221 228 232 243 223 212 198
Broadcom Inc. — — — 115 118 94 81 80 74 69 65 77 92 102 94 90 93 95 96 93 95 86
Intel Corp. — — — — 156 159 150 144 127 145 149 145 148 152 148 148 151 161 157 165 151 156
KLA Corp. — — 331 312 304 314 315 321 333 345 350 345 355 325 310 304 304 299 290 282 285 283
Lam Research Corp. — — 220 205 205 219 233 252 261 257 258 264 275 263 241 234 247 256 246 221 201 203
Micron Technology Inc. — — 246 251 234 217 226 230 237 251 262 252 254 229 238 231 213 237 205 189 179 166
NVIDIA Corp. 226 203 190 194 171 147 178 159 159 166 176 197 215 207 214 198 186 179 164 153 157 157
Texas Instruments Inc. — — — — 254 262 272 284 293 296 292 284 268 264 262 262 253 225 196 180 174 162

Based on: 10-Q (reporting date: 2026-08-01), 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).

1 Q2 2027 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 110 + 86 = 196

2 Click competitor name to see calculations.


The operating cycle demonstrates a fluctuating but generally improving trend in working capital efficiency from May 2021 through mid-2024, followed by a period of volatility and expansion in 2025 and 2026. The overall cycle was characterized by a reduction in the time required to convert inventory into cash, although this efficiency was partially reversed in the final year of the observed period.

Average Inventory Processing Period
The inventory processing period exhibited significant volatility, starting at 129 days and reaching a peak of 133 days in January 2023. A period of improved efficiency was observed between February 2024 and November 2024, where the period consistently remained at or below 101 days. A subsequent increase to 126 days in January 2026 suggests a temporary accumulation of stock or a slowdown in sales velocity before moderating to 110 days by August 2026.
Average Receivable Collection Period
Collection efficiency improved markedly from a high of 91 days in October 2021 to a minimum of 60 days in May 2024. This downward trend indicates a more effective credit management process or a shift in customer payment terms. However, this trend reversed sharply in January 2026, with the collection period peaking at 97 days, reflecting a temporary increase in outstanding receivables.
Operating Cycle
The total operating cycle transitioned from an initial 211 days to a low of 158 days by May 2024, marking a window of enhanced operational liquidity. This efficiency was compromised in January 2026, when the cycle reached its peak of 223 days. This expansion was driven by simultaneous increases in both inventory holding times and receivable collection periods. The cycle concluded at 196 days, indicating a return toward historical averages but remaining above the efficiency levels achieved in 2024.

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Average Payables Payment Period

Marvell Technology Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
Aug 1, 2026 May 2, 2026 Jan 31, 2026 Nov 1, 2025 Aug 2, 2025 May 3, 2025 Feb 1, 2025 Nov 2, 2024 Aug 3, 2024 May 4, 2024 Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021
Selected Financial Data
Payables turnover 5.66 5.96 3.74 6.06 6.56 6.57 5.44 6.04 6.50 9.61 7.81 7.63 7.48 7.73 6.29 5.97 5.52 4.85 5.20 4.81 5.03 5.02
Short-term Activity Ratio (no. days)
Average payables payment period1 64 61 98 60 56 56 67 60 56 38 47 48 49 47 58 61 66 75 70 76 73 73
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Advanced Micro Devices Inc. — — — — 101 59 61 77 73 58 69 87 63 56 72 77 92 81 83 82 61 63
Analog Devices Inc. — — — 52 48 46 47 43 39 34 44 38 37 33 41 48 47 45 47 43 41 45
Broadcom Inc. — — — 52 36 35 28 26 24 36 32 38 35 43 40 32 27 30 33 24 37 37
Intel Corp. — — — — 91 75 105 109 104 110 128 114 109 97 96 97 96 85 97 70 79 74
KLA Corp. — — 43 37 32 32 35 34 36 33 33 33 35 32 32 35 47 46 45 46 43 47
Lam Research Corp. — — 41 36 36 32 33 35 35 31 29 26 23 22 18 21 32 43 39 41 39 36
NVIDIA Corp. 72 73 57 56 66 60 71 71 58 50 59 64 61 37 37 45 75 71 69 70 68 61
Qualcomm Inc. — — — 52 54 49 52 44 48 53 55 57 52 49 44 38 29 51 74 77 83 85
Texas Instruments Inc. — — — — 31 30 36 39 46 47 46 45 48 31 45 40 53 55 50 46 43 39

Based on: 10-Q (reporting date: 2026-08-01), 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).

1 Q2 2027 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 5.66 = 64

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals significant fluctuations in the management of accounts payable between May 2021 and August 2026. The relationship between payables turnover and the average payables payment period demonstrates a consistent inverse correlation, reflecting shifts in the company's liquidity management and supplier credit terms.

Payment Period Trends
From May 2021 through April 2022, the average payables payment period remained relatively stable, fluctuating between 70 and 76 days. A subsequent contraction in the payment cycle occurred between July 2022 and February 2024, during which the period declined steadily from 66 days to a minimum of 38 days. This indicates a period of accelerated payments to suppliers or a reduction in the credit terms granted by vendors.
Following the February 2024 trough, the payment period entered a recovery phase, generally trending upward and stabilizing between 56 and 67 days through November 2025. A notable anomaly occurred on January 31, 2026, where the payment period spiked to 98 days, the highest point in the observed timeframe, before returning to a range of 61 to 64 days by August 2026.
Payables Turnover Dynamics
The payables turnover ratio mirrored the payment period trends. Between May 2021 and January 2022, the ratio held steady around 5.0. The period of accelerated payments saw the ratio climb to a peak of 9.61 by February 2024, confirming a high frequency of supplier settlements.
From May 2024 to November 2025, the turnover ratio moderated, fluctuating between 5.44 and 6.57. The sharp increase in the payment period in January 2026 coincided with a significant drop in the turnover ratio to 3.74, representing the lowest efficiency in settling payables during the analyzed period.
Operational Insights
The data suggests a strategic shift in working capital management. The move toward a 38-day payment cycle in early 2024 implies a period of high liquidity or a desire to leverage early payment discounts. Conversely, the extreme spike to 98 days in early 2026 indicates a temporary extension of payment terms, which may have been utilized to preserve cash flow or manage a short-term liquidity requirement.

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Cash Conversion Cycle

Marvell Technology Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Aug 1, 2026 May 2, 2026 Jan 31, 2026 Nov 1, 2025 Aug 2, 2025 May 3, 2025 Feb 1, 2025 Nov 2, 2024 Aug 3, 2024 May 4, 2024 Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021
Selected Financial Data
Average inventory processing period 110 121 126 96 96 106 111 97 101 98 98 107 120 125 133 123 123 114 110 108 90 129
Average receivable collection period 86 78 97 72 73 64 65 68 73 60 74 81 79 63 74 87 85 86 86 91 83 82
Average payables payment period 64 61 98 60 56 56 67 60 56 38 47 48 49 47 58 61 66 75 70 76 73 73
Short-term Activity Ratio
Cash conversion cycle1 132 138 125 108 113 114 109 105 118 120 125 140 150 141 149 149 142 125 126 123 100 138
Benchmarks
Cash Conversion Cycle, Competitors2
Advanced Micro Devices Inc. — — — — 123 158 171 155 147 183 179 178 176 165 145 139 115 103 87 88 94 99
Analog Devices Inc. — — — 159 160 144 143 153 149 148 139 131 126 136 138 138 135 131 122 110 116 126
Broadcom Inc. — — — 63 82 59 53 54 50 33 33 39 57 59 54 58 66 65 63 69 58 49
Intel Corp. — — — — 65 84 45 35 23 35 21 31 39 55 52 51 55 76 60 95 72 82
KLA Corp. — — 288 275 272 282 280 287 297 312 317 312 320 293 278 269 257 253 245 236 242 236
Lam Research Corp. — — 179 169 169 187 200 217 226 226 229 238 252 241 223 213 215 213 207 180 162 167
NVIDIA Corp. 154 130 133 138 105 87 107 88 101 116 117 133 154 170 177 153 111 108 95 83 89 96
Texas Instruments Inc. — — — — 223 232 236 245 247 249 246 239 220 233 217 222 200 170 146 134 131 123

Based on: 10-Q (reporting date: 2026-08-01), 10-Q (reporting date: 2026-05-02), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-11-01), 10-Q (reporting date: 2025-08-02), 10-Q (reporting date: 2025-05-03), 10-K (reporting date: 2025-02-01), 10-Q (reporting date: 2024-11-02), 10-Q (reporting date: 2024-08-03), 10-Q (reporting date: 2024-05-04), 10-K (reporting date: 2024-02-03), 10-Q (reporting date: 2023-10-28), 10-Q (reporting date: 2023-07-29), 10-Q (reporting date: 2023-04-29), 10-K (reporting date: 2023-01-28), 10-Q (reporting date: 2022-10-29), 10-Q (reporting date: 2022-07-30), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-29), 10-Q (reporting date: 2021-10-30), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-05-01).

1 Q2 2027 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 110 + 86 – 64 = 132

2 Click competitor name to see calculations.


The analysis of the short-term operating activity ratios reveals a fluctuating cash conversion cycle, reflecting shifts in inventory management, credit collection efficiency, and supplier payment strategies over the observed period.

Average Inventory Processing Period
Inventory turnover exhibits notable volatility, starting at 129 days and reaching a peak of 133 days in January 2023. A period of improved efficiency was observed between February 2024 and November 2024, during which the processing period remained consistently below 101 days. A subsequent increase to 126 days in January 2026 indicates a temporary slowdown in inventory movement, though this trend moderated to 110 days by August 2026.
Average Receivable Collection Period
The collection period demonstrated a general downward trend from a peak of 91 days in October 2021 to a low of 60 days in May 2024, suggesting a strengthening of credit collection processes. This improvement was interrupted in January 2026, when the period spiked to 97 days, the highest value in the dataset, before settling at 86 days by August 2026.
Average Payables Payment Period
Payment terms with suppliers underwent a prolonged contraction from 73 days in May 2021 to a minimum of 38 days in May 2024, which increased the reliance on internal liquidity. A reversal of this trend occurred in late 2024, characterized by a sharp increase to 98 days in January 2026. This spike in the payables period served to partially mitigate the impact of slower inventory and receivable cycles during the same period.
Cash Conversion Cycle (CCC)
The total cash conversion cycle fluctuated between a minimum of 100 days in July 2021 and a maximum of 150 days in July 2023. An optimization phase was evident throughout 2024, with the CCC reaching a low of 105 days by November 2024. However, the cycle lengthened again in 2026, peaking at 138 days in May 2026, primarily driven by simultaneous increases in both inventory processing and receivable collection times.

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