Stock Analysis on Net

Super Micro Computer Inc. (NASDAQ:SMCI)

$24.99

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

Super Micro Computer Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020
Turnover Ratios
Inventory turnover
Receivables turnover
Payables turnover
Working capital turnover
Average No. Days
Average inventory processing period
Add: Average receivable collection period
Operating cycle
Less: Average payables payment period
Cash conversion cycle

Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).


An analysis of the operating activity ratios reveals a period of relative stability followed by significant volatility in asset and liability management efficiency. The overall trend indicates a deterioration in the efficiency of the operating cycle and an expansion of the cash conversion cycle toward the end of the observed period.

Inventory Management
Inventory turnover exhibited a gradual decline from 3.59 in September 2020 to a low of 2.50 in March 2022, which corresponded with an increase in the average inventory processing period from 102 to 146 days. A period of improvement followed, peaking at a turnover of 5.07 in December 2024, where the processing period dropped to 72 days. However, recent trends show another decline, with the processing period extending back to 131 days by March 2026.
Receivables Management
Receivables turnover shows a long-term downward trajectory, starting at 10.23 and ending at 4.01. The average receivable collection period remained relatively stable between 36 and 67 days for the majority of the period. A critical anomaly occurred in December 2025, where the collection period spiked to 143 days, suggesting a significant slowdown in the conversion of receivables into cash.
Payables Management
Payables turnover and the average payables payment period experienced extreme fluctuations. Between December 2024 and June 2025, the company accelerated payments significantly, with the payment period dropping as low as 11 days. Conversely, December 2025 saw a drastic shift, with the payment period extending to 195 days and turnover dropping to 1.88, indicating a substantial delay in settling obligations with suppliers.
Working Capital Efficiency
Working capital turnover remained consistent around the 3.7 to 4.1 range until June 2023. Starting in March 2024, there was a sharp decline to 1.86, and the ratio has failed to return to previous levels, remaining between 2.04 and 2.85. This indicates a decrease in the company's ability to utilize its short-term assets and liabilities to generate sales.
Operating and Cash Conversion Cycles
The operating cycle peaked at 293 days in December 2025, driven by concurrent spikes in both inventory processing and receivable collection times. While the cash conversion cycle stayed near 100 days for several years, it exhibited increased volatility from 2024 onward, eventually reaching 178 days by March 2026. This extension suggests a growing reliance on external financing or a decrease in operational liquidity.

Turnover Ratios


Average No. Days


Inventory Turnover

Super Micro Computer Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020
Selected Financial Data (US$ in thousands)
Cost of sales
Inventories
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
Apple Inc.
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.

Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).

1 Q3 2026 Calculation
Inventory turnover = (Cost of salesQ3 2026 + Cost of salesQ2 2026 + Cost of salesQ1 2026 + Cost of salesQ4 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The operational data reveals a period of aggressive scaling characterized by a massive expansion in both cost of sales and inventory levels. Between September 2020 and March 2026, the cost of sales escalated from 632.3 million USD to 9.2 billion USD, while inventories grew from 773.9 million USD to 11.1 billion USD. The inventory turnover ratio exhibits significant volatility, reflecting shifting balances between supply chain accumulation and sales velocity.

Initial Decline and Stabilization (2020–2022)
From September 2020 to March 2022, a steady downward trend in inventory turnover is observed, falling from 3.59 to 2.50. During this period, inventory growth consistently outpaced the growth in cost of sales, indicating a reduction in inventory efficiency or a strategic buildup of stock.
Efficiency Recovery and Peak Performance (2022–2024)
A recovery phase occurred between June 2022 and June 2023, where the turnover ratio climbed to a peak of 4.04. This efficiency trend reached its maximum in the window between December 2023 and March 2024, with turnover ratios of 5.07 and 4.94. This period represents the highest level of operational throughput, where cost of sales grew rapidly relative to the inventory on hand.
Recent Scaling and Inventory Expansion (2024–2026)
The final phase of the analysis shows a significant divergence in inventory management. While cost of sales experienced an unprecedented surge, particularly in December 2025 (reaching 11.8 billion USD), inventory levels expanded even more aggressively, peaking at 11.1 billion USD by March 2026. This caused the inventory turnover ratio to drop sharply to 2.44 in December 2025, before a slight recovery to 2.78 in March 2026.
Overall Operational Trend
The long-term trajectory indicates that while the scale of operations has increased by more than ten-fold, the company has struggled to maintain a consistent turnover ratio. The fluctuation between a high of 5.07 and a low of 2.41 suggests a high sensitivity to market demand cycles and significant volatility in inventory procurement strategies during periods of hyper-growth.

Receivables Turnover

Super Micro Computer Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020
Selected Financial Data (US$ in thousands)
Net sales
Accounts receivable, net of allowance for credit losses
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Apple Inc.
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.

Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).

1 Q3 2026 Calculation
Receivables turnover = (Net salesQ3 2026 + Net salesQ2 2026 + Net salesQ1 2026 + Net salesQ4 2025) ÷ Accounts receivable, net of allowance for credit losses
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The relationship between net sales growth and receivables collection efficiency exhibits a significant divergence over the analyzed period. While revenue has experienced exponential growth, the receivables turnover ratio has trended downward, indicating a slowing rate of collection relative to sales volume.

Early Period Stability and Initial Decline (2020–2022)
From September 30, 2020, to June 30, 2022, the receivables turnover ratio shifted from a peak of 10.23 to 6.23. During this interval, net sales grew steadily from approximately 762 million to 1.6 billion, while accounts receivable increased from 322 million to 834 million. The decline in the turnover ratio suggests that the growth in receivables outpaced the growth in sales, signaling an initial reduction in the efficiency of credit collection.
Volatility and Scaling Phase (2022–2024)
Between September 30, 2022, and June 30, 2024, the turnover ratio demonstrated high volatility, fluctuating between a high of 9.97 and a low of 5.48. This period coincides with a massive acceleration in net sales, which climbed from 1.8 billion to over 5.3 billion. The lack of a stable turnover ratio during this scaling phase indicates inconsistent collection cycles or periodic adjustments in credit terms to support rapid revenue expansion.
Significant Efficiency Deterioration (2024–2026)
A critical decline in collection efficiency is observed starting in late 2024. While net sales reached a peak of 12.68 billion in December 2025, accounts receivable surged to 11.00 billion in the same period. This caused the receivables turnover ratio to plummet to a historical low of 2.55. Although a slight recovery to 4.01 occurred by March 31, 2026, the ratio remains substantially lower than the levels seen in 2020, suggesting a heightened risk of credit exposure and a significant increase in the average collection period.

The data indicates that the company's rapid expansion in sales has not been matched by a proportional increase in the speed of receivables recovery. The sharp drop in turnover in late 2025 suggests that a substantial portion of the reported revenue is tied up in outstanding receivables, which may impact short-term liquidity and cash flow stability.


Payables Turnover

Super Micro Computer Inc., payables turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020
Selected Financial Data (US$ in thousands)
Cost of sales
Accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Apple Inc.
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.

Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).

1 Q3 2026 Calculation
Payables turnover = (Cost of salesQ3 2026 + Cost of salesQ2 2026 + Cost of salesQ1 2026 + Cost of salesQ4 2025) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of payables turnover reveals distinct phases of operational scaling, extreme volatility in liability management, and a eventual return to historical norms. While the cost of sales grew exponentially over the observed period, the relationship between these costs and the balance of accounts payable shifted dramatically, particularly between late 2024 and early 2026.

Stability and Scaling Phase (2020–2023)
During the initial period, the payables turnover ratio remained relatively stable, generally fluctuating between 4.94 and 9.76. This indicates a consistent rhythm in supplier payments relative to the volume of goods procured. Cost of sales grew steadily from approximately $632 million to $1.8 billion, with accounts payable scaling proportionally to support this growth.
Efficiency Spike and Liability Reduction (2024)
A significant divergence occurred in the latter half of 2024. While the cost of sales remained high at approximately $5 billion, accounts payable saw a sharp decline to $549 million by December 31, 2024. This resulted in an unprecedented spike in the payables turnover ratio, reaching a peak of 33.19, suggesting an aggressive acceleration in the settlement of supplier obligations or a significant shift in procurement terms.
Extreme Volatility and Credit Expansion (2025)
The 2025 fiscal year was characterized by extreme fluctuations. After maintaining high turnover ratios in early 2025, a drastic reversal occurred on December 31, 2025. Accounts payable surged to $13.75 billion, far exceeding the cost of sales for that period ($11.88 billion). Consequently, the payables turnover ratio plummeted to 1.88, the lowest point in the data set, indicating a massive increase in deferred payments or an expansion of supplier credit.
Normalization and Correction (2026)
By March 31, 2026, the turnover ratio returned to 8.37. This recovery was driven by a substantial reduction in accounts payable to $3.69 billion, bringing the ratio back in line with the historical averages observed between 2020 and 2023. This suggests a correction of the preceding quarter's liability surge and a return to standard operating cycles.

Working Capital Turnover

Super Micro Computer Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020
Selected Financial Data (US$ in thousands)
Current assets
Less: Current liabilities
Working capital
 
Net sales
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Apple Inc.
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.

Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).

1 Q3 2026 Calculation
Working capital turnover = (Net salesQ3 2026 + Net salesQ2 2026 + Net salesQ1 2026 + Net salesQ4 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of working capital turnover reveals two distinct operational phases characterized by a transition from stable capital efficiency to a period of aggressive balance sheet expansion. Between September 2020 and September 2023, the company maintained a consistent relationship between its working capital and net sales, with the turnover ratio remaining narrowly ranged between 3.71 and 4.09. During this period, working capital grew modestly from approximately 890 million to 1.97 billion, while net sales scaled proportionally.

Working Capital Acceleration
A significant shift occurred starting in December 2023, where working capital began to increase at a rate far exceeding revenue growth. Working capital surged from 1.97 billion in September 2023 to 13.45 billion by March 2026. This rapid accumulation of current assets relative to current liabilities indicates a massive scaling of operations, likely driven by increased inventory requirements or higher accounts receivable to support escalating demand.
Net Sales Volatility and Growth
Net sales experienced hyper-growth during the latter half of the analyzed period, rising from 2.12 billion in September 2023 to a peak of 12.68 billion in December 2025. Despite this exponential increase in top-line revenue, the growth was not linear, as evidenced by a decline in sales to 4.60 billion in March 2025 before rebounding sharply.
Working Capital Turnover Compression
The turnover ratio experienced a sharp contraction starting in December 2023 (3.25) and hitting a low of 1.86 in March 2024. While the ratio recovered slightly to fluctuate between 2.04 and 2.85 through March 2026, it remained substantially below the historical average of approximately 3.9. This downward trend suggests that the company is utilizing significantly more working capital to generate each dollar of sales than in previous years.

The overall trend indicates a strategic shift toward a more capital-intensive operating model. The decline in the turnover ratio reflects a reduction in short-term asset efficiency, as the expansion of the balance sheet has outpaced the growth in sales velocity. This pattern is typical of companies undergoing rapid scaling where heavy upfront investment in working capital is required to facilitate future revenue surges.


Average Inventory Processing Period

Super Micro Computer Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020
Selected Financial Data
Inventory turnover
Short-term Activity Ratio (no. days)
Average inventory processing period1
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Apple Inc.
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.

Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).

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

2 Click competitor name to see calculations.


The analysis of inventory metrics reveals a cyclical pattern characterized by significant volatility in operational efficiency over the observed timeframe. A consistent inverse correlation is maintained between the inventory turnover ratio and the average inventory processing period, reflecting fluctuating capacities in inventory management and demand fulfillment.

Initial Efficiency Decline (September 2020 – March 2022)
A steady deterioration in inventory movement is observed during this period. The inventory turnover ratio declined from 3.59 to 2.50, which corresponds with a rise in the average inventory processing period from 102 days to a peak of 146 days. This indicates a prolonged duration for inventory to be processed and sold.
Operational Recovery and Stabilization (June 2022 – June 2023)
A reversal of the previous trend occurred, marked by improved turnover rates that reached a local peak of 4.04 in June 2023. Consequently, the average inventory processing period contracted significantly, dropping to 90 days, suggesting enhanced efficiency in supply chain management or increased market demand.
Peak Volatility and Maximum Efficiency (September 2023 – December 2024)
This window exhibits the most extreme fluctuations. A sharp spike in the processing period to 152 days in March 2024 was followed by a rapid descent to the series minimum of 72 days by December 2024. This coincided with the highest recorded inventory turnover ratio of 5.07, representing the period of maximum operational velocity.
Recent Trend Toward Slowdown (March 2025 – March 2026)
A downward trend in efficiency is observed in the final stages of the analysis. The inventory turnover ratio fell from 4.94 to 2.78, while the average inventory processing period lengthened from 74 days to a peak of 150 days in December 2025, before settling at 131 days in March 2026. This indicates a renewed increase in the time required to cycle through inventory.

Average Receivable Collection Period

Super Micro Computer Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020
Selected Financial Data
Receivables turnover
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Apple Inc.
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.

Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).

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

2 Click competitor name to see calculations.


The analysis of the average receivable collection period reveals a period of relative stability followed by a significant deterioration in collection efficiency toward the end of the observed timeline. Between September 2020 and June 2025, the collection cycle generally fluctuated within a range of 36 to 67 days, indicating a consistent, though variable, approach to credit management.

Historical Collection Trends (2020–2024)
From September 2020 through December 2024, the average collection period exhibited moderate volatility. The shortest collection window occurred in late 2020 at 36 days, while peaks were observed in June 2022 (59 days), June 2023 (59 days), and June 2024 (67 days). Despite these fluctuations, the period remained predominantly below 60 days, suggesting an operational capability to convert receivables into cash within a two-month window.
Recent Performance Degradation (2025–2026)
A severe escalation in the collection period is evident starting in the latter half of 2025. After maintaining a relatively low period of 44 days in September 2025, the duration spiked to 143 days by December 31, 2025. Although this figure decreased to 91 days by March 31, 2026, the collection cycle remains substantially higher than any previous historical average, indicating a potential increase in credit risk or significant delays in customer payments.
Correlation with Receivables Turnover
An inverse correlation is observed between the receivables turnover ratio and the collection period. The peak collection period of 143 days in December 2025 directly corresponds with the lowest recorded turnover ratio of 2.55. The subsequent recovery of the turnover ratio to 4.01 in March 2026 aligns with the reduction of the collection period to 91 days, though both metrics remain well below their 2020-2021 benchmarks.

The overall trajectory suggests a transition from an efficient cash conversion cycle to one characterized by significant liquidity delays. The sharp increase in the time required to collect receivables in late 2025 represents a critical departure from previous operating norms.


Operating Cycle

Super Micro Computer Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020
Selected Financial Data
Average inventory processing period
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
Apple Inc.
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.

Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).

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

2 Click competitor name to see calculations.


The operating cycle exhibits significant volatility over the observed period, characterized by alternating phases of expansion and contraction in the time required to convert inventory into cash. The overall trend indicates a lack of stability in short-term operational efficiency, with a notable extreme peak occurring toward the end of the sequence.

Average Inventory Processing Period
A gradual increase is observed from September 2020 (102 days) through March 2022, where the period peaked at 146 days. This was followed by a period of fluctuation and a marked improvement in efficiency, reaching a minimum of 72 days by December 2024. However, this efficiency was short-lived, as the period trended upward again, reaching 150 days in December 2025 before settling at 131 days in March 2026.
Average Receivable Collection Period
For the majority of the timeline, the collection period remained relatively contained, oscillating between 36 and 67 days. A period of heightened efficiency was noted between December 2024 and September 2025, with values dipping as low as 37 days. A severe disruption occurred on December 31, 2025, when the collection period spiked to 143 days, the highest value in the dataset, before decreasing to 91 days in the final quarter.
Operating Cycle Synthesis
The total operating cycle reflects the combined impact of inventory and receivable trends. An initial upward trend led to a peak of 200 days in March 2022, followed by a period of volatility that saw a low of 119 days in March 2025. The most significant anomaly is observed in December 2025, where the operating cycle extended to 293 days. This spike was primarily driven by the abrupt increase in the receivable collection period rather than inventory processing, indicating a temporary but severe breakdown in cash recovery efficiency.

Average Payables Payment Period

Super Micro Computer Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020
Selected Financial Data
Payables turnover
Short-term Activity Ratio (no. days)
Average payables payment period1
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Apple Inc.
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.

Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).

1 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals significant fluctuations in the management of accounts payable over the observed period, characterized by alternating phases of payment acceleration and extreme extension.

Baseline Volatility (2020–2023)
From September 2020 through September 2023, the average payables payment period exhibited moderate volatility, ranging from a minimum of 37 days to a maximum of 74 days. During this timeframe, payables turnover remained relatively consistent, generally fluctuating between 4.94 and 9.76, suggesting a standard operating cycle for supplier settlements.
Payment Acceleration (Late 2023–2024)
A sharp contraction in the payment cycle is observed starting in December 2023, with the average payment period dropping to 11 days. This period coincided with a substantial increase in payables turnover, which peaked at 33.19. This rapid acceleration indicates a period of aggressive liability settlement, significantly reducing the time elapsed before suppliers were paid.
Extreme Anomaly and Normalization (2025–2026)
A severe deviation occurred on December 31, 2025, as the average payables payment period surged to 195 days. This spike is inversely mirrored by a collapse in payables turnover to 1.88, the lowest value in the series. This represents a drastic extension of the credit cycle. However, this trend was temporary, as the period normalized to 44 days by March 31, 2026, returning to levels consistent with the initial baseline observed in 2020.

Cash Conversion Cycle

Super Micro Computer Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
Mar 31, 2026 Dec 31, 2025 Sep 30, 2025 Jun 30, 2025 Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020
Selected Financial Data
Average inventory processing period
Average receivable collection period
Average payables payment period
Short-term Activity Ratio
Cash conversion cycle1
Benchmarks
Cash Conversion Cycle, Competitors2
Apple Inc.
Arista Networks Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.

Based on: 10-Q (reporting date: 2026-03-31), 10-Q (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-K (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-Q (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-K (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-Q (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-K (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-K (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-K (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30).

1 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + =

2 Click competitor name to see calculations.


The operational efficiency metrics demonstrate significant volatility over the analyzed period, characterized by fluctuating inventory management and erratic payment and collection cycles. While the company maintained a relatively predictable operating rhythm between 2020 and 2023, the latter part of the timeline shows extreme deviations in working capital components.

Average Inventory Processing Period
An initial upward trend is observed from September 2020 (102 days) peaking in March 2022 (146 days), suggesting a slowdown in inventory turnover. Following this peak, the period contracted to a low of 90 days by June 2023. A subsequent spike to 152 days occurred in March 2024, followed by a sharp decline to 72 days by December 2024. The most recent data indicates a renewed upward trajectory, reaching 131 days by March 2026, reflecting inconsistent inventory throughput.
Average Receivable Collection Period
Receivable collections remained relatively stable, generally oscillating between 36 and 67 days for the majority of the timeframe. However, a significant anomaly is observed in December 2025, where the collection period spiked to 143 days. This represents a substantial deterioration in collection efficiency, although a partial recovery to 91 days was noted by March 2026.
Average Payables Payment Period
The payment cycle exhibits the highest level of instability. After maintaining a range of 37 to 74 days from 2020 through 2023, the period contracted sharply to 11 days in December 2024 and January 2025. This contraction was followed by an extreme expansion to 195 days in December 2025, indicating a drastic shift in supplier payment strategies or liquidity constraints, before returning to 44 days in March 2026.
Cash Conversion Cycle
The cash conversion cycle reflects the aggregated volatility of its underlying components. For several years, the cycle hovered between 91 and 133 days. A peak of 163 days was reached in March 2024. The cycle experienced a sharp fluctuation toward the end of the period, dropping to 98 days in December 2025 due to the massive extension of payables, and then surging to 178 days by March 2026. This suggests a significant increase in the time required to convert resource inputs into cash flows.