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
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-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).


An examination of short-term operating activity ratios reveals several noteworthy trends over the observed period. Generally, the company demonstrates fluctuating efficiency in managing its inventory, receivables, and payables, with some stabilization appearing in more recent quarters. The overall working capital turnover exhibits a gradual decline, while metrics related to the cash conversion cycle show considerable variation.

Inventory Management
Inventory turnover decreased consistently from 1.65 in March 2022 to a low of 1.15 in December 2022. A modest recovery began in March 2023, continuing through December 2025, reaching 1.44. This suggests an initial slowdown in the rate at which inventory is sold and replenished, followed by a gradual improvement. Correspondingly, the average inventory processing period lengthened from 221 days to 325 days before decreasing to 253 days by December 2025, indicating inventory is taking longer to move through the system, but this trend is reversing.
Receivables Management
Receivables turnover displayed volatility, peaking at 6.75 in June 2023, but generally remaining in the 4.75 to 6.14 range. A slight downward trend is observed in the most recent quarters, falling to 4.77 in December 2025. The average receivable collection period generally decreased from 75 days to 54 days, then increased to 76 days in December 2025, suggesting a fluctuating ability to efficiently collect on credit sales. The recent increase warrants monitoring.
Payables Management
Payables turnover exhibited significant fluctuations, with a high of 10.09 in March 2024 and a low of 4.74 in June 2022. The most recent value, 4.97 in December 2025, is near the lower end of the observed range. The average payables payment period correspondingly varied, decreasing to a low of 36 days in March 2024 and increasing to 73 days in December 2025. This suggests a changing strategy or ability to manage payments to suppliers.
Overall Operating Efficiency
Working capital turnover generally declined from 0.85 in March 2022 to 0.82 in December 2025, indicating a decreasing efficiency in utilizing working capital to generate sales. The operating cycle lengthened from 296 days to 382 days before decreasing to 329 days by December 2025. The cash conversion cycle also showed considerable variation, peaking at 321 days in March 2023 and decreasing to 256 days in December 2025. These cycles reflect the combined effect of changes in inventory, receivables, and payables management.

In summary, the company’s short-term operating activity ratios demonstrate a period of initial decline followed by some stabilization and recovery in recent quarters. While improvements are visible in inventory management, receivables collection appears to be lengthening, and payables management is becoming more extended. The declining working capital turnover suggests a need for continued focus on optimizing the use of current assets and liabilities.


Turnover Ratios


Average No. Days


Inventory Turnover

Arista Networks Inc., inventory turnover calculation (quarterly data)

Microsoft Excel
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.
Super Micro Computer Inc.

Based on: 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 Q4 2025 Calculation
Inventory turnover = (Cost of revenueQ4 2025 + Cost of revenueQ3 2025 + Cost of revenueQ2 2025 + Cost of revenueQ1 2025) ÷ Inventories
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


Inventory turnover exhibited a generally declining trend from the first quarter of 2022 through the first quarter of 2023, followed by a period of stabilization and modest improvement through the end of 2025. The ratio demonstrates fluctuations influenced by both cost of revenue and inventory levels.

Overall Trend
The inventory turnover ratio decreased from 1.65 in March 2022 to a low of 1.15 in March 2023. This indicates a slowing in the rate at which inventory was sold and replenished during this period. Subsequently, the ratio began to recover, reaching 1.44 by December 2025, suggesting improved inventory management or increased sales velocity in more recent quarters.
Cost of Revenue Influence
Cost of revenue generally increased throughout the observed period, rising from US$323,221 thousand in March 2022 to US$924,000 thousand in December 2025. While cost of revenue increased, the inventory turnover ratio did not increase proportionally, indicating that inventory levels grew at a faster rate.
Inventory Level Influence
Inventories experienced a substantial increase from US$694,217 thousand in March 2022 to US$2,247,100 thousand in December 2025. This significant growth in inventory, outpacing the increase in cost of revenue, is the primary driver behind the initial decline in the inventory turnover ratio. The slight decrease in inventory observed in the second quarter of 2024, followed by continued increases, appears to correlate with the stabilization and subsequent improvement in the ratio.
Recent Performance
The final four quarters analyzed (March 2024 – December 2025) show a consistent, albeit gradual, increase in inventory turnover, from 1.11 to 1.44. This suggests that recent strategies related to inventory management or sales are proving effective. The increase in the ratio during this period is a positive indicator.

In summary, the inventory turnover ratio reflects a period of increasing inventory holdings relative to cost of revenue, followed by a recent trend of improved efficiency in inventory management.


Receivables Turnover

Arista Networks Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
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.
Super Micro Computer Inc.

Based on: 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 Q4 2025 Calculation
Receivables turnover = (RevenueQ4 2025 + RevenueQ3 2025 + RevenueQ2 2025 + RevenueQ1 2025) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The receivables turnover ratio exhibits fluctuations over the observed period, generally indicating the efficiency with which the company converts its receivables into cash. An initial upward trend is followed by periods of decline and subsequent recovery.

Overall Trend
From March 31, 2022, to June 30, 2023, the receivables turnover ratio generally increased, suggesting improving efficiency in collecting receivables. However, this was followed by a period of decline through December 31, 2023. A subsequent increase occurred through September 30, 2024, before declining again through December 31, 2025.
Initial Increase (2022-Mid 2023)
The ratio rose from 4.87 in March 2022 to 6.75 in June 2023. This increase coincided with a substantial rise in revenue, indicating that the growth in sales was effectively managed with respect to credit and collection policies. Accounts receivable, net, did not increase at the same rate as revenue during this period, contributing to the improved turnover.
Subsequent Decline (Mid 2023-Late 2023)
A decrease in the receivables turnover ratio was observed from June 2023 to December 2023, falling to 5.72. This decline occurred despite continued revenue growth. The increase in accounts receivable, net, from US$779,726 thousand to US$1,024,569 thousand suggests a potential slowdown in collections or a more lenient credit policy during this period.
Fluctuations (2024-2025)
The ratio experienced further volatility between 2024 and 2025. It rose to 6.14 in September 2024, but then decreased to 4.77 by December 2025. This suggests inconsistent performance in managing receivables. The continued growth in revenue, coupled with fluctuating accounts receivable, net, indicates that the company’s ability to efficiently convert receivables into cash is sensitive to external factors or internal policy changes.
Recent Performance
The most recent value, 4.77 in December 2025, is lower than the ratio observed at the beginning of the analyzed period (4.87 in March 2022). This suggests a potential need to re-evaluate credit and collection practices to maintain or improve efficiency in managing working capital.

In summary, while the company demonstrated periods of efficient receivables management, the overall trend reveals inconsistency. Further investigation into the factors influencing accounts receivable and collection policies is warranted.


Payables Turnover

Arista Networks Inc., payables turnover calculation (quarterly data)

Microsoft Excel
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.
Super Micro Computer Inc.

Based on: 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 Q4 2025 Calculation
Payables turnover = (Cost of revenueQ4 2025 + Cost of revenueQ3 2025 + Cost of revenueQ2 2025 + Cost of revenueQ1 2025) ÷ Accounts payable
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The accounts payable turnover ratio exhibits fluctuations over the observed period, spanning from March 31, 2022, to December 31, 2025. An initial decline is followed by periods of both increase and decrease, ultimately concluding with a lower ratio than the starting point.

Initial Trend (Mar 31, 2022 – Dec 31, 2022)
The payables turnover ratio decreased from 5.61 in March 2022 to 4.74 in June 2022, indicating a lengthening of the time it takes to pay suppliers. This trend reversed in the subsequent quarters, rising to 5.39 in September 2022 and peaking at 7.33 in December 2022. This suggests improved efficiency in managing accounts payable during the latter half of 2022.
Fluctuations and Subsequent Decline (Mar 31, 2023 – Dec 31, 2024)
The ratio experienced further variability in 2023, starting at 5.84 in March, increasing to 5.95 in June, then significantly rising to 8.16 in September before falling to 5.13 by December. This pattern continued into 2024, with a substantial increase to 10.09 in March, followed by a decrease to 7.63 in June, a slight increase to 8.14 in September, and a further decline to 6.59 in December. These fluctuations suggest inconsistent payment practices or changes in supplier terms.
Recent Performance (Mar 31, 2025 – Dec 31, 2025)
The ratio continued to decline in 2025, moving from 6.86 in March to 5.23 in June, 6.26 in September, and finally reaching 4.97 in December. This represents the lowest value observed throughout the entire period, indicating a potential slowdown in payment processing or an increase in outstanding payables relative to cost of revenue.
Cost of Revenue Relationship
Throughout the period, cost of revenue generally increased. However, the payables turnover ratio did not consistently increase alongside it. This suggests that changes in the ratio are not solely driven by the volume of purchases, but also by the timing of payments and the management of supplier relationships. The increasing cost of revenue coupled with a decreasing payables turnover in the latter part of the period could indicate a potential strain on working capital.

Overall, the payables turnover ratio demonstrates a complex pattern of changes. While periods of improvement are evident, the concluding trend points towards a potential weakening in the company’s ability to efficiently manage its accounts payable.


Working Capital Turnover

Arista Networks Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
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.
Super Micro Computer Inc.

Based on: 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 Q4 2025 Calculation
Working capital turnover = (RevenueQ4 2025 + RevenueQ3 2025 + RevenueQ2 2025 + RevenueQ1 2025) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The working capital turnover ratio for the analyzed period demonstrates a generally declining trend, although with some fluctuations. Initially, the ratio exhibited an increase before stabilizing and then decreasing over the observed timeframe. This suggests a changing relationship between working capital and revenue generation.

Initial Trend (Mar 31, 2022 – Jun 30, 2023)
The working capital turnover ratio began at 0.85 and increased to 1.01 by June 30, 2023. This initial rise indicates that the company was becoming more efficient in utilizing its working capital to generate revenue. However, this improvement was not sustained.
Subsequent Decline (Sep 30, 2023 – Dec 31, 2025)
Following the peak in June 2023, the ratio experienced a consistent decline, falling to 0.82 by December 31, 2025. This downward trend suggests a decreasing efficiency in working capital utilization. The ratio decreased from 0.96 in September 2023 to 0.90 in December 2023, then continued to fall to 0.78, 0.76, 0.81, 0.84, 0.80, and finally 0.82.
Working Capital and Revenue Relationship
While revenue consistently increased throughout the period, the working capital also increased at a faster rate. This suggests that the company required increasingly larger amounts of working capital to support each additional dollar of revenue generated, contributing to the declining turnover ratio. The increase in working capital may be due to increased inventory, accounts receivable, or other current assets.
Recent Stabilization
The ratio shows a slight stabilization in the most recent period, moving from 0.80 in September 2025 to 0.82 in December 2025. While this halts the continuous decline, it does not indicate a reversal of the overall trend.

In summary, the observed pattern suggests that while the company has been successful in growing revenue, it has become less efficient in managing its working capital relative to that revenue growth. Further investigation into the components of working capital is recommended to understand the drivers behind this trend.


Average Inventory Processing Period

Arista Networks Inc., average inventory processing period calculation (quarterly data)

Microsoft Excel
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.
Super Micro Computer Inc.

Based on: 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 Q4 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The average inventory processing period exhibited a clear trend of lengthening over the analyzed period, followed by a recent stabilization and slight decrease. Initially, the period increased substantially before showing signs of potential improvement in the most recent quarters.

Overall Trend
From March 31, 2022, to December 31, 2023, the average inventory processing period increased from 221 days to 318 days. This represents a significant lengthening of the time it takes to convert inventory into sales. However, from March 31, 2024, through December 31, 2025, the period has shown a decreasing trend, moving from 328 days to 253 days.
Phase 1: Lengthening Period (Mar 31, 2022 – Dec 31, 2023)
The period experienced its most substantial increase during this phase. The increase suggests a potential slowdown in sales, an accumulation of inventory, or a combination of both. The period nearly doubled over this timeframe, indicating a growing inefficiency in inventory management.
Phase 2: Stabilization and Reduction (Mar 31, 2024 – Dec 31, 2025)
Beginning in March 2024, the average inventory processing period began to stabilize and then decrease. This suggests that efforts to improve inventory management, increase sales velocity, or optimize supply chain processes may be taking effect. The reduction in the period from 328 days to 253 days over this period is notable.
Quarterly Fluctuations
Within each phase, quarterly fluctuations were observed. For example, a peak of 276 days was recorded on December 31, 2022, and a subsequent peak of 328 days on March 31, 2024. These fluctuations could be attributable to seasonal demand, promotional activities, or changes in product mix.
Relationship to Inventory Turnover
The average inventory processing period is inversely related to the inventory turnover ratio. As the inventory turnover ratio decreased from 1.65 to 1.11 between March 31, 2022, and March 31, 2024, the average inventory processing period increased. The subsequent increase in inventory turnover, from 1.11 to 1.44 between March 31, 2024, and December 31, 2025, corresponds with the decrease in the average inventory processing period.

Average Receivable Collection Period

Arista Networks Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
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.
Super Micro Computer Inc.

Based on: 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 Q4 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The average receivable collection period exhibited fluctuations over the observed timeframe. Generally, the period remained within a range of approximately 54 to 77 days, with discernible periods of relative stability and increase.

Overall Trend
The average receivable collection period does not demonstrate a consistent upward or downward trend across the entire period. Instead, it appears cyclical, with periods of decrease followed by periods of increase. The period began at 75 days, decreased to a low of 54 days, and then generally increased to 76 days by the end of the observation period.
Initial Period (Mar 31, 2022 - Dec 31, 2022)
A decreasing trend was observed from March 31, 2022, to June 30, 2022, with the collection period declining from 75 days to 61 days. This trend stabilized for two consecutive quarters, remaining at 61 days through September 30, 2022. An increase was then noted, rising to 77 days by December 31, 2022.
Subsequent Period (Mar 31, 2023 - Dec 31, 2024)
The collection period decreased from 65 days on March 31, 2023, to 54 days on June 30, 2023, before increasing to 64 days by September 30, 2023. A further increase to 71 days was observed by March 31, 2024, followed by a slight decrease to 59 days by December 31, 2024.
Latest Period (Mar 31, 2025 - Dec 31, 2025)
The collection period increased to 70 days on March 31, 2025, then to 75 days on June 30, 2025, before decreasing to 64 days on September 30, 2025. The period concluded with an increase to 76 days on December 31, 2025.
Volatility
The collection period demonstrates a moderate level of volatility. The largest single-quarter change occurred between March 31, 2022, and June 30, 2022, with a decrease of 14 days. Similar fluctuations are observed throughout the period, indicating potential variability in the company’s credit and collection policies or customer payment behavior.

Operating Cycle

Arista Networks Inc., operating cycle calculation (quarterly data)

No. days

Microsoft Excel
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.
Super Micro Computer Inc.

Based on: 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 Q4 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =

2 Click competitor name to see calculations.


The operating cycle exhibited a generally increasing trend over the observed period, with fluctuations occurring throughout the quarters. A detailed examination of the components reveals insights into the drivers of this trend.

Average Inventory Processing Period
The average inventory processing period demonstrated a consistent upward trajectory from 221 days in March 2022 to a peak of 328 days in March 2024. Subsequently, a slight decline was observed, reaching 253 days by December 2025. This suggests a lengthening in the time required to convert inventory into finished goods and ultimately, sales, followed by a recent improvement. The increase could indicate inefficiencies in inventory management, slower production cycles, or a build-up of inventory in anticipation of future demand. The recent decrease suggests potential improvements in these areas.
Average Receivable Collection Period
The average receivable collection period showed more variability. It began at 75 days in March 2022, decreased to 54 days by June 2023, then increased to 76 days by December 2025. This indicates fluctuations in the efficiency of collecting payments from customers. The initial decrease suggests improved credit and collection policies or a change in customer mix. The subsequent increase may be attributable to extended payment terms offered to customers, a rise in overdue accounts, or a shift towards larger, slower-paying clients.
Operating Cycle
The operating cycle, calculated as the sum of the average inventory processing period and the average receivable collection period, generally increased from 296 days in March 2022 to 382 days in December 2022. It then fluctuated, reaching a high of 393 days in March 2024 before decreasing to 329 days by December 2025. The overall trend reflects the combined effect of changes in both inventory processing and receivable collection. The peak in the operating cycle suggests a longer time span between the initial investment in inventory and the ultimate receipt of cash from sales. The recent decline indicates a potential improvement in the overall efficiency of the operating cycle, driven by the observed decreases in both inventory processing and receivable collection periods towards the end of the period.

In summary, the operating cycle experienced a period of expansion followed by a recent contraction. The lengthening of the inventory processing period was a significant contributor to the initial increase, while fluctuations in the receivable collection period added to the overall variability. The recent improvements in both components suggest a positive trend in the company’s short-term operating efficiency.


Average Payables Payment Period

Arista Networks Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
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.
Super Micro Computer Inc.

Based on: 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 Q4 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The average payables payment period exhibited fluctuations over the observed period, spanning from March 31, 2022, to December 31, 2025. An initial increase is noted, followed by periods of decline and subsequent increases, suggesting a dynamic relationship with supplier credit terms and the company’s cash management practices.

Overall Trend
The average payables payment period generally fluctuated between 45 and 77 days. While there isn't a consistent upward or downward trend across the entire timeframe, a potential lengthening of the period is observed in the later quarters of the analyzed period.
Initial Phase (Mar 31, 2022 – Dec 31, 2022)
The period began at 65 days, increasing to a peak of 77 days in June 2022, before decreasing to 50 days by December 2022. This initial volatility could be attributed to changes in supplier terms, purchasing volume, or deliberate strategies to manage cash flow.
Stabilization and Subsequent Increase (Mar 31, 2023 – Sep 30, 2024)
From March 2023 through September 2024, the period remained relatively stable, fluctuating between 45 and 62 days. However, a slight increase is observed towards the end of this phase. A low of 36 days was recorded in March 2024, representing the most rapid payment period within the observed timeframe.
Recent Period (Dec 31, 2024 – Dec 31, 2025)
The final period demonstrates a clear upward trend, increasing from 55 days in December 2024 to 73 days in December 2025. This suggests a potential shift in payment practices, possibly due to negotiating extended credit terms with suppliers or a strategic decision to preserve cash.

The fluctuations in the average payables payment period warrant further investigation to understand the underlying drivers. Monitoring this metric alongside changes in supplier relationships and overall cash flow management is recommended.


Cash Conversion Cycle

Arista Networks Inc., cash conversion cycle calculation (quarterly data)

No. days

Microsoft Excel
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.
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Dell Technologies Inc.
Super Micro Computer Inc.

Based on: 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 Q4 2025 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= + =

2 Click competitor name to see calculations.


The short-term operating activity of the company, as measured by its cash conversion cycle and component ratios, exhibits notable fluctuations over the observed period. Generally, the cash conversion cycle demonstrates a tendency towards lengthening, particularly in the earlier part of the period, followed by some stabilization and a slight decrease towards the end of the observation window.

Average Inventory Processing Period
The average time to process inventory generally increased from 221 days in March 2022 to a peak of 328 days in March 2024. Following this peak, a gradual decline is observed, reaching 253 days by December 2025. This suggests a potential lengthening of the production or warehousing cycle initially, followed by improvements in inventory management efficiency. The fluctuations may be attributable to changes in supply chain dynamics or inventory strategy.
Average Receivable Collection Period
The average number of days to collect receivables fluctuated throughout the period. It began at 75 days in March 2022, decreased to a low of 54 days in June and September 2023, and then increased again, reaching 76 days in December 2025. This variability could indicate changes in credit policies, customer payment behavior, or the mix of customers. The increase towards the end of the period warrants further investigation.
Average Payables Payment Period
The average time taken to pay suppliers also showed variability. It started at 65 days in March 2022, increased to 77 days in June 2022, and then decreased to a low of 36 days in March 2024. Subsequently, it increased to 73 days by December 2025. This suggests the company has adjusted its payment terms with suppliers, potentially leveraging early payment discounts or extending payment periods to manage cash flow. The recent increase may reflect a shift in supplier relationships or negotiation strategies.
Cash Conversion Cycle
The cash conversion cycle initially increased from 231 days in March 2022 to 321 days in March 2023. It then decreased to 256 days by December 2025, with intermediate fluctuations. The cycle’s length is influenced by the combined effects of the inventory processing, receivable collection, and payable payment periods. The initial increase suggests a longer time between investing in inventory and receiving cash from sales. The subsequent decrease indicates improved efficiency in managing working capital, although the cycle remains relatively long. The peak in March 2024, at 357 days, is a significant outlier and should be examined in conjunction with the individual component ratios.

Overall, the company’s working capital management appears dynamic, with adjustments made to inventory, receivables, and payables. While improvements are evident in the later periods, the cash conversion cycle remains substantial, suggesting potential opportunities for further optimization.