Stock Analysis on Net

Arista Networks Inc. (NYSE:ANET)

$24.99

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

Arista Networks 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
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-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).


The analysis of short-term operating activity indicates a period of significant fluctuation in operational efficiency, characterized by a distinct cycle of deterioration followed by a steady recovery starting in the first quarter of 2024.

Inventory Management Efficiency
Inventory turnover experienced a consistent decline from 1.65 in March 2022 to a low of 1.11 in March 2024. This trend is mirrored by the average inventory processing period, which lengthened from 221 days to a peak of 328 days over the same period, indicating a substantial slowdown in inventory movement. However, from April 2024 through March 2026, a corrective trend is observed, with turnover increasing to 1.49 and the processing period contracting to 245 days, suggesting improved inventory leaness and faster stock throughput.
Receivables and Payables Dynamics
Receivables turnover remained relatively volatile but stayed within a range of 4.77 to 6.75. The average receivable collection period fluctuated between 54 and 77 days, showing no singular long-term trend but reflecting periodic shifts in collection efficiency. Payables turnover showed higher volatility, peaking at 10.09 in March 2024, which coincided with the shortest average payables payment period of 36 days. This suggests a period of accelerated payments to suppliers during early 2024, followed by a gradual extension of payment terms back toward 63 days by March 2026.
Operational Cycle and Cash Conversion
The operating cycle followed the trajectory of inventory processing, expanding from 296 days in March 2022 to a peak of 393 days in March 2024 before trending downward to 317 days by March 2026. Consequently, the cash conversion cycle reached a maximum of 357 days in March 2024, representing a significant lag in converting resource inputs into cash flows. The subsequent reduction of the cash conversion cycle to 254 days by March 2026 indicates an improvement in overall liquidity management and working capital efficiency.
Working Capital Utilization
Working capital turnover showed a gradual downward trend, moving from 0.85 in March 2022 to 0.81 in March 2026, with a floor of 0.76 reached in December 2024. This suggests a slight decrease in the efficiency with which working capital is utilized to generate sales, despite the improvements seen in the cash conversion cycle during the latter half of the period.

Turnover Ratios


Average No. Days


Inventory Turnover

Arista Networks 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
Selected Financial Data (US$ in thousands)
Cost of revenue
Inventories
Short-term Activity Ratio
Inventory turnover1
Benchmarks
Inventory Turnover, Competitors2
Apple Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

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

1 Q1 2026 Calculation
Inventory turnover = (Cost of revenueQ1 2026 + Cost of revenueQ4 2025 + Cost of revenueQ3 2025 + Cost of revenueQ2 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a cyclical pattern in inventory management characterized by an initial decline in efficiency followed by a sustained recovery. While the cost of revenue exhibited consistent growth throughout the period, the rate at which inventory was cycled fluctuated significantly, reflecting changes in the relationship between stock accumulation and sales volume.

Cost of Revenue Trends
A continuous upward trajectory is observed in the cost of revenue, which increased from 323,221 thousand US dollars in March 2022 to 1,032,200 thousand US dollars by March 2026. This consistent growth indicates a substantial expansion in the scale of operational activity and output over the observed timeframe.
Inventory Level Dynamics
Inventories experienced a period of rapid expansion between March 2022 and March 2024, rising from 694,217 thousand US dollars to a peak of 2,025,204 thousand US dollars. After a temporary contraction in mid-2024, inventory levels resumed a steady climb, reaching 2,380,000 thousand US dollars by the end of the period in March 2026.
Inventory Turnover Efficiency
The inventory turnover ratio underwent a marked contraction from 1.65 in March 2022 to a minimum of 1.11 in March 2024. This decline suggests that inventory accumulation outpaced the growth in the cost of revenue, resulting in lower asset liquidity. However, a recovery phase is evident starting in June 2024, with the ratio steadily improving to 1.49 by March 2026, signaling a return toward higher operational efficiency and better alignment between stock levels and demand.

Overall, the data indicates that while the organization significantly increased its inventory base to support growth, the latter half of the period shows an optimization of this capital, as turnover ratios improved despite continued increases in total inventory value.


Receivables Turnover

Arista Networks 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
Selected Financial Data (US$ in thousands)
Revenue
Accounts receivable, net
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Apple Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

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

1 Q1 2026 Calculation
Receivables turnover = (RevenueQ1 2026 + RevenueQ4 2025 + RevenueQ3 2025 + RevenueQ2 2025) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Revenue exhibits a consistent and significant upward trajectory over the analyzed period, growing from 877.07 million US dollars in March 2022 to 2.71 billion US dollars by March 2026. This expansion is mirrored by a corresponding increase in net accounts receivable, which rose from 648.61 million US dollars to 1.92 billion US dollars in the same timeframe. While both metrics grew, the relationship between them remained dynamic, as evidenced by the fluctuations in the receivables turnover ratio.

Revenue and Receivables Growth
A sustained growth pattern is evident, with revenue increasing more than threefold over the period. Accounts receivable followed a similar growth path but exhibited higher volatility. Notable increases in receivables occurred during the fourth quarter of each year, particularly in December 2022, December 2023, and December 2025, suggesting a recurring pattern of higher outstanding balances at the close of the calendar year.
Receivables Turnover Ratio Performance
The receivables turnover ratio fluctuated between a high of 6.75 in June 2023 and a low of 4.75 in December 2022. The ratio does not follow a linear trend but rather a cyclical one. Efficiency peaks were observed mid-year, specifically in the June and September quarters of 2022 and 2023, where the ratio frequently exceeded 6.0, indicating a more rapid conversion of receivables into cash.
Cyclical Trends and Efficiency Observations
A recurring seasonal dip in turnover efficiency is observable every December. The ratio dropped to 4.75 in December 2022, 5.72 in December 2023, and 4.77 in December 2025. This pattern suggests that year-end revenue recognition may be accompanied by extended payment terms or a temporary surge in credit sales, leading to a relative increase in the receivables balance compared to the quarterly revenue generated.
Recent Trend Analysis (2024-2026)
In the most recent periods, the company maintained a turnover ratio generally between 4.77 and 6.14. Despite the substantial increase in total revenue reaching 2.71 billion US dollars by March 2026, the turnover ratio remained relatively stable, ending the period at 5.05. This indicates that the company has managed to scale its credit operations in proportion to its sales growth, though efficiency remains subject to the previously identified year-end volatility.

Payables Turnover

Arista Networks 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
Selected Financial Data (US$ in thousands)
Cost of revenue
Accounts payable
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Apple Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

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

1 Q1 2026 Calculation
Payables turnover = (Cost of revenueQ1 2026 + Cost of revenueQ4 2025 + Cost of revenueQ3 2025 + Cost of revenueQ2 2025) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The operational expenditures associated with revenue demonstrate a consistent and significant upward trajectory, while the management of accounts payable reflects a pattern of volatility and periodic strategic adjustment.

Cost of Revenue Trend
A sustained increase in the cost of revenue is observed, rising from 323,221 thousand US dollars in March 2022 to 1,032,200 thousand US dollars by March 2026. This indicates a substantial expansion in the company's operational scale and procurement volume over the analyzed period.
Accounts Payable Dynamics
The balance of accounts payable exhibits non-linear movement, characterized by frequent fluctuations. Significant increases are noted in December 2023 and December 2025, suggesting seasonal inventory accumulation or a strategic shift toward utilizing supplier credit to finance growth.
Payables Turnover Performance
The payables turnover ratio shows considerable instability, fluctuating between a low of 4.74 in June 2022 and a peak of 10.09 in March 2024. The sharp spike in early 2024 indicates a period of exceptionally rapid supplier settlement, whereas the subsequent decline toward late 2025 suggests a relative extension of payment terms.
Correlation and Operational Insights
The divergence between the steady growth in cost of revenue and the volatile turnover ratio suggests that supplier payment cycles are not strictly tied to the volume of business. Instead, the variability in the ratio reflects active liquidity management, where the company alternates between accelerating payments and leveraging supplier credit to optimize working capital.

Working Capital Turnover

Arista Networks 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
Selected Financial Data (US$ in thousands)
Current assets
Less: Current liabilities
Working capital
 
Revenue
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Apple Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

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

1 Q1 2026 Calculation
Working capital turnover = (RevenueQ1 2026 + RevenueQ4 2025 + RevenueQ3 2025 + RevenueQ2 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


An analysis of the operational activity indicates a divergence between the growth rates of revenue and working capital over the period from March 2022 to March 2026. While both metrics show consistent growth, the scale of working capital expansion has outpaced revenue increases, affecting overall efficiency ratios.

Working Capital Expansion
A continuous upward trend is observed in working capital, which rose from 3.74 billion USD in March 2022 to approximately 12 billion USD by March 2026. This represents a substantial increase in the company's net current assets over the analyzed timeframe.
Revenue Growth
Revenue demonstrates steady growth, increasing from 877 million USD in March 2022 to 2.71 billion USD by March 2026. The growth is consistent across the quarters, indicating a scaling of business operations.
Working Capital Turnover Efficiency
The turnover ratio exhibited three distinct phases. First, an improvement phase occurred from March 2022 to March 2023, where the ratio peaked at 1.04. Second, a period of decline was observed throughout 2023, with the ratio dropping to a low of 0.76 by December 2023. Third, a stabilization phase is evident from March 2024 through March 2026, with the ratio fluctuating within a narrow range between 0.76 and 0.85.

The observed patterns suggest that the company is utilizing its working capital less efficiently to generate revenue than it did during the early 2023 peak. The stabilization of the ratio in the later periods indicates that revenue growth has begun to align more closely with the increased levels of working capital, although the efficiency has not returned to the 1.00+ levels seen in 2022 and early 2023.


Average Inventory Processing Period

Arista Networks 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
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.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

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

1 Q1 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


An analysis of inventory efficiency reveals a distinct cyclical pattern characterized by a prolonged period of operational deterioration followed by a sustained recovery in inventory velocity.

Inventory Turnover Dynamics
The inventory turnover ratio experienced a consistent downward trend from a high of 1.65 in March 2022, reaching a trough of 1.11 by March 2024. This decline indicates a reduction in the frequency with which inventory was replaced during this period. Following the March 2024 low, a steady recovery is observed, with the ratio increasing sequentially to reach 1.49 by March 2026, signaling an improvement in the efficiency of inventory utilization.
Average Inventory Processing Period Analysis
The duration of the inventory processing cycle mirrored the turnover trends with an inverse correlation. The processing period expanded from 221 days in March 2022 to a peak of 328 days in March 2024, reflecting a significant increase in the time capital remained tied up in unsold goods. A reversal began in June 2024, with the period contracting steadily to 245 days by March 2026. This reduction suggests a more streamlined movement of products through the operating cycle.
Operational Efficiency Synthesis
The data indicates that the period between March 2022 and March 2024 was marked by declining operational agility, as evidenced by the increasing days of processing and falling turnover. The subsequent period from June 2024 through March 2026 demonstrates a successful optimization of the inventory cycle, as the processing period decreased by 83 days from its peak, bringing the operational velocity closer to the levels seen at the start of the analyzed period.

Average Receivable Collection Period

Arista Networks 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
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.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

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

1 Q1 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a cyclical pattern in the management of accounts receivable. The efficiency of credit collection fluctuates quarterly, characterized by periods of acceleration followed by seasonal deceleration, indicating variable liquidity cycles over the observed period.

Receivables Turnover Trends
The turnover ratio exhibits moderate volatility, ranging from a minimum of 4.75 in December 2022 to a peak of 6.75 in June 2023. A notable period of high efficiency was observed throughout the second and third quarters of 2023, where the ratio remained above 6.70. However, a general downward trajectory is evident from late 2023 through early 2026, with the ratio frequently oscillating between 4.77 and 6.14.
Average Receivable Collection Period
The collection period demonstrates a recurring seasonal trend, with peaks typically occurring toward the end of the calendar year. The longest collection cycles were recorded in December 2022 (77 days) and December 2025 (76 days). The most efficient collection phase occurred in mid-2023, with the period reaching a low of 54 days in June and September of that year. Recent data indicates a regression toward longer collection cycles, with the period extending to 72 days by March 2026.
Operational Correlation and Insights
A consistent inverse correlation is maintained between the turnover ratio and the collection period. The data suggests a recurring pattern where third-quarter performance often shows an improvement in collection speed, followed by a slowdown in the fourth quarter. The expansion of the collection period from 59 days in December 2024 to 76 days in December 2025 suggests a decrease in the velocity of cash inflows from credit sales during that specific annual cycle.

Operating Cycle

Arista Networks 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
Selected Financial Data
Average inventory processing period
Average receivable collection period
Short-term Activity Ratio
Operating cycle1
Benchmarks
Operating Cycle, Competitors2
Apple Inc.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

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

1 Q1 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The operating cycle exhibits a period of significant expansion followed by a steady contraction, with the primary driver of volatility being the inventory processing duration. The overall cycle expanded from 296 days in March 2022 to a peak of 393 days in March 2024, before trending downward to 317 days by March 2026.

Average Inventory Processing Period
A sustained upward trend is observed from March 2022, where the period stood at 221 days, reaching a peak of 328 days in March 2024. This indicates a prolonged period of inventory accumulation or slower turnover. Following this peak, a consistent recovery is evident, with the period declining steadily to 245 days by March 2026, suggesting improved inventory management and efficiency in moving products.
Average Receivable Collection Period
The collection period demonstrates relative stability with periodic fluctuations. Values ranged from a minimum of 54 days in mid-2023 to a maximum of 77 days in December 2022. Unlike the inventory metrics, the receivable collection period shows no long-term linear trend, indicating a consistent approach to credit terms and customer payment collections throughout the analyzed timeframe.
Operating Cycle Correlation
The fluctuations in the total operating cycle are almost exclusively correlated with the average inventory processing period. The expansion of the cycle between March 2022 and March 2024 mirrors the rise in inventory days. Similarly, the subsequent contraction of the cycle to 317 days by March 2026 is driven by the reduction in inventory holding times, while the stable nature of the receivable collection period provided a consistent baseline.

Average Payables Payment Period

Arista Networks 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
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.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

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

1 Q1 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 period from March 2022 to March 2026, characterized by fluctuating payment cycles and corresponding changes in turnover efficiency.

Average Payables Payment Period Trends
The payment period exhibited substantial variance, ranging from a peak of 77 days in June 2022 to a minimum of 36 days in March 2024. A notable period of acceleration in payments occurred between September 2023 and June 2024, during which the period dropped sharply to its lowest point of 36 days. Following this trough, a general upward trend emerged, with the payment period extending to a high of 73 days by December 2025, before moderating to 63 days in March 2026.
Payables Turnover Analysis
The payables turnover ratio maintained a consistent inverse relationship with the payment period. Peak turnover efficiency was achieved in March 2024 at 10.09, aligning with the shortest payment duration. Periods of lowest turnover, specifically June 2022 (4.74) and December 2025 (4.97), correspond directly with the longest payment windows of 77 and 73 days, respectively. This indicates a direct correlation between the frequency of payable settlements and the average time taken to discharge obligations.
Working Capital Implications
The cyclical fluctuations suggest strategic shifts in liquidity management or changes in supplier credit terms. The significant contraction of the payment period in early 2024 implies an increase in cash outflows to suppliers. Conversely, the subsequent extension of the payment period toward the end of 2025 indicates a shift toward preserving cash on hand by lengthening the duration of short-term liabilities.

Cash Conversion Cycle

Arista Networks 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
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.
Cisco Systems Inc.
Dell Technologies Inc.
Lumentum Holdings Inc.
Super Micro Computer Inc.

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

1 Q1 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 cash conversion cycle exhibited a significant expansion throughout 2022 and 2023, reaching a peak in the first quarter of 2024 before entering a period of sustained contraction and efficiency gains.

Average Inventory Processing Period
A pronounced upward trend is observed from March 2022, where the period stood at 221 days, climbing to a peak of 328 days by March 2024. This expansion indicates a substantial increase in the time required to move inventory through the system. Following this peak, a consistent downward trend occurred, with the period reducing to 245 days by March 2026, suggesting improved inventory turnover and management efficiency.
Average Receivable Collection Period
Receivable collections remained relatively stable compared to inventory metrics, fluctuating primarily between 54 and 77 days. The most efficient collection phase occurred between June and September 2023, dipping to 54 days. A slight increase in the collection period is noted toward the end of the analyzed timeframe, moving from 59 days in December 2024 to 72 days by March 2026.
Average Payables Payment Period
The payment period for payables demonstrated high volatility, ranging from a low of 36 days in March 2024 to a high of 77 days in June 2022. A strategic shift toward extending payment terms is evident from March 2024 onward, with the period generally increasing and peaking at 73 days in December 2025. This extension of payables helped offset some of the liquidity pressures created by the inventory processing cycle.
Cash Conversion Cycle Synthesis
The total cash conversion cycle expanded from 231 days in March 2022 to a maximum of 357 days in March 2024. This peak was driven by the simultaneous occurrence of maximum inventory holding times and a sharp contraction in the payables payment period. The subsequent reduction of the cycle to 254 days by March 2026 is attributed to the combined effect of accelerated inventory processing and the strategic lengthening of the payables payment period.