Stock Analysis on Net
Stock Analysis on Net

Super Micro Computer Inc. (NASDAQ:SMCI)

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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
Jun 30, 2026 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
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-K (reporting date: 2026-06-30), 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).


The analysis of short-term operating activity ratios reveals significant fluctuations in working capital efficiency, characterized by a period of optimized asset turnover followed by a marked deterioration in liquidity cycles toward the end of the observed period.

Inventory Management Efficiency
Inventory turnover exhibits a non-linear trend, peaking at 5.07 in December 2024, which corresponds to the shortest average inventory processing period of 72 days. However, a subsequent decline is observed, with the processing period extending back to 135 days by June 2026. This indicates a reduction in the velocity of inventory movement and a potential increase in stockpiling or a slowdown in demand during the final year of the data set.
Receivables and Collection Performance
Receivables turnover remained relatively stable, generally oscillating between 5.48 and 9.97, with collection periods typically ranging from 37 to 67 days. A critical anomaly occurs in December 2025, where the average receivable collection period spikes to 143 days and the turnover ratio drops to 2.55. This represents a substantial slowdown in cash inflows from customers, although a partial recovery is noted by June 2026, with the collection period returning to 57 days.
Payables and Supplier Obligations
Payables turnover shows extreme volatility. A period of accelerated payments is evident between December 2024 and September 2025, where the payment period dropped to as low as 11 days. This is followed by a drastic shift in December 2025, where the average payables payment period surged to 195 days. This extreme extension of payment terms suggests a strategic or forced delay in settling supplier obligations to offset the aforementioned collection delays.
Operating and Cash Conversion Cycles
The operating cycle, which tracks the time from inventory acquisition to cash collection, shows a general increase in volatility, reaching a peak of 293 days in December 2025. The cash conversion cycle (CCC) remained relatively consistent between 100 and 160 days for the majority of the period but experienced a significant upward trend in early 2026, peaking at 178 days. This suggests an overall decrease in operational efficiency and an increased reliance on external financing or extended credit to sustain operations.
Working Capital Utilization
A consistent downward trend is observed in working capital turnover, which declined from a high of 4.09 in September 2021 to 1.90 by June 2026. This indicates that the company is generating progressively less revenue for every unit of working capital employed, pointing to a decrease in the efficiency of short-term asset utilization.

Turnover Ratios


Average No. Days


Inventory Turnover

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

Microsoft Excel
Jun 30, 2026 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
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-K (reporting date: 2026-06-30), 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).

1 Q4 2026 Calculation
Inventory turnover = (Cost of salesQ4 2026 + Cost of salesQ3 2026 + Cost of salesQ2 2026 + Cost of salesQ1 2026) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


An analysis of operating activity reveals a period of massive scaling in both sales volume and asset accumulation. The operational scale expanded significantly from late 2023 through 2026, characterized by an exponential increase in the cost of sales and a corresponding rise in inventory holdings.

Cost of Sales Trends
A substantial upward trajectory is observed in the cost of sales, which rose from 894.6 million in September 2021 to a peak of 11.88 billion in December 2025. The most aggressive growth occurred between December 2023 and December 2025, indicating a rapid expansion in production and delivery volumes.
Inventory Level Evolution
Inventory levels shifted from a relatively stable range of 1.18 billion to 2.05 billion between September 2021 and September 2023, followed by a sharp escalation. Inventories grew to 12.90 billion by June 2026, reflecting a strategic increase in stock to support the surging demand and expanded operational scale.
Inventory Turnover Performance
The inventory turnover ratio exhibited significant volatility. After maintaining a baseline between 2.50 and 3.84 through 2022, the ratio reached a peak of 5.07 in December 2024, signaling a period of high operational efficiency where inventory was cleared rapidly. However, a subsequent decline is noted, with the ratio receding to 2.70 by June 2026.

The divergence between the cost of sales and inventory growth in the final quarters indicates a decrease in inventory efficiency. While the scale of operations remains historically high, the inventory turnover ratio has returned to levels comparable to the 2021-2022 period, suggesting that inventory accumulation has outpaced the growth in sales during the most recent quarters.


Receivables Turnover

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

Microsoft Excel
Jun 30, 2026 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
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-K (reporting date: 2026-06-30), 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).

1 Q4 2026 Calculation
Receivables turnover = (Net salesQ4 2026 + Net salesQ3 2026 + Net salesQ2 2026 + Net salesQ1 2026) ÷ Accounts receivable, net of allowance for credit losses
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analyzed period from September 2021 to June 2026 is characterized by aggressive revenue expansion accompanied by significant volatility in receivables collection efficiency. While net sales scaled from approximately 1.03 billion to a peak of 12.68 billion, the receivables turnover ratio experienced substantial fluctuations, indicating inconsistent credit management during phases of rapid growth.

Historical Stability and Initial Scaling
From September 2021 through September 2023, the receivables turnover ratio remained relatively stable, generally oscillating between 6.20 and 9.78. During this phase, accounts receivable grew in proportion to net sales, suggesting that credit policies and collection processes were effectively scaling alongside the business's initial growth trajectory.
Increased Volatility and Operational Pressure
Between December 2023 and September 2025, a pattern of heightened volatility emerged. The turnover ratio shifted from a low of 5.48 in June 2024 to a peak of 9.97 in March 2025. This instability indicates periodic challenges in aligning the timing of sales recognition with cash collection, likely reflecting the pressures of managing rapidly increasing order volumes and larger customer contracts.
Critical Decline in Collection Efficiency
A significant anomaly is observed on December 31, 2025, where the receivables turnover ratio plummeted to 2.55, the lowest point in the analyzed period. This coincided with a massive surge in net sales to 12.68 billion and a corresponding spike in net accounts receivable to 11.00 billion. This sharp decline suggests a severe deterioration in collection efficiency or a strategic shift toward more lenient credit terms to facilitate record-breaking sales volume.
Recovery and Stabilization Phase
Following the December 2025 low, a consistent recovery trend is evident through June 2026. The turnover ratio improved to 4.01 in March 2026 and further recovered to 6.38 by June 2026. This improvement was driven by a substantial reduction in net accounts receivable, which fell from 11.00 billion to 6.13 billion, indicating an aggressive effort to clear outstanding balances and restore operational liquidity.

Payables Turnover

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

Microsoft Excel
Jun 30, 2026 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
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-K (reporting date: 2026-06-30), 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).

1 Q4 2026 Calculation
Payables turnover = (Cost of salesQ4 2026 + Cost of salesQ3 2026 + Cost of salesQ2 2026 + Cost of salesQ1 2026) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of payables turnover reveals three distinct operational phases characterized by a transition from stability to extreme volatility and subsequent normalization.

Baseline Operational Period (September 2021 – September 2024)
During this interval, the payables turnover ratio remained relatively stable, generally fluctuating between 5.09 and 9.76. Cost of sales grew steadily from approximately 894 million to 5.16 billion, with accounts payable scaling proportionally. This indicates a consistent and predictable cycle of supplier payments relative to the volume of goods purchased.
Period of Accelerated Turnover (December 2024 – September 2025)
A significant shift occurred starting in December 2024, where the turnover ratio spiked to 33.19 and remained elevated above 14.0 through September 2025. This trend coincided with a sharp decrease in accounts payable to 549 million despite continued high cost of sales. Such a pattern suggests an aggressive reduction of outstanding liabilities or a strategic acceleration of payments to suppliers, resulting in a much faster turnover of obligations.
Liquidity Expansion and Subsequent Correction (December 2025 – June 2026)
The most pronounced volatility is observed in December 2025, where the payables turnover ratio collapsed to 1.88. This decline was driven by a massive surge in accounts payable, which peaked at 13.75 billion, coinciding with a cost of sales peak of 11.88 billion. This represents a substantial slowing of the payment cycle, indicating that supplier payments were deferred on an unprecedented scale. By June 2026, the ratio recovered to 15.50 as accounts payable were reduced to 2.25 billion, signaling a return to a more accelerated payment cadence and a contraction of short-term supplier credit.

Working Capital Turnover

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

Microsoft Excel
Jun 30, 2026 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
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-K (reporting date: 2026-06-30), 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).

1 Q4 2026 Calculation
Working capital turnover = (Net salesQ4 2026 + Net salesQ3 2026 + Net salesQ2 2026 + Net salesQ1 2026) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


An analysis of the short-term operating activity reveals a significant shift in the relationship between working capital and revenue generation over the period from September 2021 to June 2026. While both working capital and net sales exhibited growth, the rate of expansion in working capital substantially outpaced sales growth in the latter half of the analyzed period, leading to a marked decline in capital efficiency.

Working Capital Expansion
Working capital demonstrated a consistent upward trajectory, evolving from 935,476 thousand USD in September 2021 to 20,566,146 thousand USD by June 2026. A critical inflection point occurred between September 2023 and March 2024, where working capital surged from approximately 1.97 billion USD to 6.35 billion USD. This acceleration continued through 2025 and 2026, indicating a massive increase in the net current assets required to support operations.
Net Sales Performance
Net sales showed general growth with periods of volatility. After a period of relative stability and a dip in March 2023, sales began to accelerate in late 2023. A significant peak is observed in December 2025 with sales reaching 12,682,491 thousand USD, followed by a slight correction and stabilization above 10 billion USD in the subsequent quarters of 2026.
Working Capital Turnover Efficiency
The working capital turnover ratio remained stable between 3.76 and 4.09 from September 2021 through September 2023, suggesting a consistent level of efficiency in utilizing short-term assets to generate revenue. However, a sharp deterioration in this ratio began in December 2023 (3.25) and reached a low of 1.86 by March 2024. Despite some intermittent recoveries, the ratio remained depressed compared to historical levels, ending at 1.90 in June 2026. This downward trend indicates that the company is requiring significantly more working capital to produce each dollar of sales, reflecting a decrease in operational efficiency regarding short-term asset utilization.

The divergence between the exponential growth of working capital and the more moderate growth of net sales suggests a potential buildup in inventories or receivables, or a strategic shift in liquidity management. The halving of the turnover ratio from approximately 4.0 to 2.0 highlights a transition toward a more capital-intensive operational model in the short term.


Average Inventory Processing Period

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

Microsoft Excel
Jun 30, 2026 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
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-K (reporting date: 2026-06-30), 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).

1 Q4 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


Analysis of the operational activity ratios reveals significant volatility in inventory management, characterized by sharp oscillations in both turnover rates and processing durations over the observed period.

Inventory Processing Period Trends
The average inventory processing period fluctuated between a maximum of 152 days in March 2024 and a minimum of 72 days in December 2024. An initial phase of relative stability, with durations ranging between 127 and 146 days from September 2021 to September 2022, was followed by a period of improvement that saw the processing time drop to 90 days by June 2023.
Peak Operational Efficiency
The highest level of operational efficiency was achieved in the second half of 2024. The inventory turnover ratio reached a peak of 5.07 in December 2024, which directly corresponds to the shortest processing period of 72 days. This represents a period of rapid inventory liquidation and accelerated sales velocity.
Recent Trajectory and Regression
Following the efficiency peak in late 2024, a consistent upward trend in the processing period is observed. Between January 2025 and June 2026, the processing period climbed from 74 days to 135 days. Concurrently, the inventory turnover ratio declined from 4.94 to 2.70, indicating a regression toward historical holding patterns and a deceleration in inventory movement.

The data suggests a cyclical pattern in inventory processing, where periods of extreme efficiency are followed by a return to longer processing cycles, reflecting inconsistent inventory throughput over the long term.


Average Receivable Collection Period

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

Microsoft Excel
Jun 30, 2026 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
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-K (reporting date: 2026-06-30), 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).

1 Q4 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 and receivables turnover reveals a pattern of moderate volatility followed by a significant anomaly in the 2025 period. For the majority of the analyzed timeframe, the collection cycle fluctuated within a range of 37 to 67 days, indicating a relatively consistent efficiency in converting credit sales into cash.

Operational Stability and Variance (2021-2024)
From September 2021 through June 2024, the average receivable collection period demonstrated periodic fluctuations without establishing a long-term upward or downward trend. The period remained largely contained between 37 and 67 days, with receivables turnover ratios generally remaining above 5.0. This suggests a stable management of credit terms and a predictable cash inflow cycle during this interval.
Critical Deviation in late 2025
A severe spike in the collection period occurred on December 31, 2025, reaching a peak of 143 days. This represents the most significant deviation in the dataset, coinciding with a sharp drop in the receivables turnover ratio to 2.55. Such a substantial increase indicates a temporary but acute slowdown in the collection of outstanding payments, which significantly extended the company's cash conversion cycle.
Corrective Trend and Recovery (2026)
Following the December 2025 peak, a rapid recovery is observed. The collection period declined to 91 days by March 31, 2026, and further normalized to 57 days by June 30, 2026. The corresponding increase in the turnover ratio from 2.55 to 6.38 confirms a return toward historical efficiency levels, suggesting that the causes of the late 2025 delay were transitory and effectively mitigated.

Operating Cycle

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

No. days

Microsoft Excel
Jun 30, 2026 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
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-K (reporting date: 2026-06-30), 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).

1 Q4 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 analyzed period, characterized by cyclical peaks and troughs that reflect fluctuations in both inventory management and credit collection efficiency. The most notable disruption occurs in late 2025, where the operating cycle reaches a maximum of 293 days before beginning a corrective downward trend.

Average Inventory Processing Period
Inventory turnover periods demonstrate a recurring pattern of expansion and contraction. Initial levels hovered between 127 and 146 days through mid-2022, followed by a period of optimization that reached a low of 90 days by June 2023. A subsequent increase to 152 days in March 2024 was followed by the most efficient phase of the observed period, with processing times dropping to 72 days by December 2024. A secondary surge occurred in December 2025, peaking at 150 days, before stabilizing around 135 days in the first half of 2026.
Average Receivable Collection Period
The collection of receivables remained relatively stable, generally fluctuating between 37 and 67 days for the majority of the timeline. This consistency suggests a stable credit policy and predictable payment patterns from clients. However, a significant anomaly is observed on December 31, 2025, when the collection period spiked to 143 days. This sharp increase indicates a temporary deterioration in collection efficiency or a significant shift in credit terms, although the period recovered to 57 days by June 2026.
Operating Cycle Synthesis
The overall operating cycle is primarily driven by the inventory processing period, although the extreme peak of 293 days in December 2025 was the result of a simultaneous increase in both inventory holding times and receivable collection delays. Aside from this outlier, the cycle typically fluctuated between 119 and 203 days, indicating a variable cash-to-cash conversion process that closely correlates with inventory turnover volatility.

Average Payables Payment Period

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

Microsoft Excel
Jun 30, 2026 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
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-K (reporting date: 2026-06-30), 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).

1 Q4 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of operating activity ratios reveals significant volatility in the management of accounts payable over the observed period, characterized by three distinct phases: relative stability, a period of rapid payment acceleration, and a severe short-term anomaly.

Payables Turnover Trends
From September 2021 through September 2023, the payables turnover ratio remained relatively stable, generally fluctuating between 5.09 and 9.76. A substantial escalation occurred between December 2024 and March 2025, where the ratio peaked at 33.19 and 29.76, respectively, indicating a much faster rate of supplier payment. This trend reversed sharply in December 2025, with the turnover dropping to a period low of 1.88, before recovering to 15.50 by June 2026.
Average Payables Payment Period Analysis
The duration required to settle obligations to suppliers showed a gradual decline from a peak of 72 days in March 2022 to a range of 38 to 44 days throughout much of 2024. A notable contraction in the payment cycle occurred in December 2024 and March 2025, with the period shortening to 11 and 12 days. This suggests a strategic acceleration of outflows or the utilization of early payment discounts.
Liquidity and Operational Anomaly
A critical outlier is observed in December 2025, where the average payables payment period expanded abruptly to 195 days. This dramatic increase, coinciding with the lowest recorded payables turnover of 1.88, indicates a significant delay in supplier payments. Such a deviation typically suggests a temporary liquidity constraint or a substantial renegotiation of credit terms with vendors.
Recovery and Normalization
Following the December 2025 spike, the payment period returned to 44 days in March 2026 and further decreased to 24 days by June 2026. This rapid return to historical norms suggests that the factors contributing to the December 2025 delay were transitory and that operational payment efficiency was restored in the subsequent quarters.

Cash Conversion Cycle

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

No. days

Microsoft Excel
Jun 30, 2026 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
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-K (reporting date: 2026-06-30), 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).

1 Q4 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 analysis of operating activity ratios indicates significant volatility in working capital management over the observed period. The efficiency of the cash conversion process is characterized by substantial fluctuations in inventory processing and supplier payment terms, resulting in an inconsistent cash conversion cycle.

Average Inventory Processing Period
Inventory management exhibits a cyclical and volatile trend. A period of relative efficiency was observed between December 2022 and June 2023, with the processing period reaching a low of 90 days. This was followed by a sharp increase to a peak of 152 days in March 2024. A subsequent rapid decline to 72 days by December 2024 suggests an aggressive reduction in stock levels, although this trend reversed by December 2025, when the period climbed back to 150 days.
Average Receivable Collection Period
Collection periods remained largely stable, fluctuating between 37 and 67 days for most of the analyzed timeframe. However, a severe anomaly occurred in December 2025, where the collection period surged to 143 days, indicating a significant slowdown in the conversion of receivables into cash. This peak was temporary, as the period normalized to 57 days by June 2026.
Average Payables Payment Period
The payables payment period shows extreme instability. Between December 2024 and September 2025, the company accelerated payments to suppliers, with the period dropping to a minimum of 11 days. This was followed by an abrupt spike to 195 days in December 2025, representing a substantial extension of payment terms. This trend was immediately reversed in 2026, with the period returning to 24 days by June.
Cash Conversion Cycle
The cash conversion cycle fluctuates between a minimum of 98 days and a maximum of 178 days. The cycle's peak in March 2026 was primarily driven by a sharp contraction in the payables payment period, which occurred while inventory and receivable days remained relatively high. In contrast, the lower points in the cycle were generally achieved through a combination of faster inventory turnover or the strategic extension of supplier payment terms, as seen in December 2025.