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

Microsoft Excel

Short-term Activity Ratios (Summary)

Turnover Ratios

Average No. Days

Arista Networks Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Sep 30, 2026 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
Turnover Ratios
Inventory turnover 1.38 1.54 1.49 1.44 1.40 1.38 1.36 1.37 1.33 1.23 1.11 1.15 1.16 1.12 1.15 1.32 1.36 1.53 1.65
Receivables turnover 5.11 4.65 5.05 4.77 5.67 4.90 5.18 6.14 5.85 5.14 5.58 5.72 6.71 6.75 5.63 4.75 6.03 5.98 4.87
Payables turnover 6.47 5.63 5.82 4.97 6.26 5.23 6.86 6.59 8.14 7.63 10.09 5.13 8.16 5.95 5.84 7.33 5.39 4.74 5.61
Working capital turnover 0.77 0.79 0.81 0.82 0.80 0.84 0.81 0.76 0.78 0.82 0.85 0.90 0.96 1.01 1.04 1.03 1.04 1.01 0.85
Average No. Days
Average inventory processing period 265 237 245 253 261 264 268 267 274 298 328 318 315 325 318 276 268 239 221
Add: Average receivable collection period 71 78 72 76 64 75 70 59 62 71 65 64 54 54 65 77 61 61 75
Operating cycle 336 315 317 329 325 339 338 326 336 369 393 382 369 379 383 353 329 300 296
Less: Average payables payment period 56 65 63 73 58 70 53 55 45 48 36 71 45 61 62 50 68 77 65
Cash conversion cycle 280 250 254 256 267 269 285 271 291 321 357 311 324 318 321 303 261 223 231

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 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 ratios indicates a period of significant volatility in operational efficiency, characterized by a notable slowdown in inventory movement followed by a gradual recovery and a steady decline in working capital productivity.

Inventory Management
Inventory turnover experienced a downward trend from 1.65 in March 2022, reaching a trough of 1.11 by March 2024. This corresponds with the average inventory processing period increasing from 221 days to a peak of 328 days. Following this peak, a recovery trend is observed, with turnover improving to 1.54 by June 2026 and the processing period compressing to 237 days, although a slight reversal occurred in the final quarter of the analysis period.
Receivables and Payables Efficiency
Receivables turnover remained relatively volatile without a definitive long-term direction, fluctuating between a high of 6.75 in June 2023 and a low of 4.65 in June 2026. Consequently, the average receivable collection period varied between 54 and 78 days. Payables turnover showed higher volatility, peaking at 10.09 in March 2024, which reflects a sharp reduction in the average payables payment period to 36 days during that timeframe. In later periods, payment terms extended again, reaching 73 days by December 2025.
Working Capital and Operational Cycles
Working capital turnover demonstrates a consistent long-term decline, falling from 1.04 in September 2022 to 0.77 by September 2026, suggesting a decrease in the efficiency of using working capital to generate revenue. The operating cycle peaked at 393 days in March 2024, driven primarily by the expansion of the inventory processing period. While the cycle contracted to 315 days by June 2026, it ended the period at 336 days.
Cash Conversion Cycle (CCC)
The cash conversion cycle exhibited a significant expansion in the first half of the analyzed period, rising from 231 days in March 2022 to a maximum of 357 days in March 2024. This peak indicates a substantial increase in the time required to convert resource inputs into cash flows. A subsequent improvement trend reduced the CCC to 250 days by June 2026, before it rose again to 280 days in the final reported quarter.

Overall, the operational data reveals a cycle of efficiency degradation that peaked in early 2024, followed by a period of optimization. However, the persistent decline in working capital turnover suggests that despite improvements in the cash conversion cycle, the overall utilization of short-term assets relative to sales has weakened over the analyzed timeframe.

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Inventory Turnover

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

Microsoft Excel
Sep 30, 2026 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
Selected Financial Data (US$ in thousands)
Cost of revenue 1,331,900 1,125,400 1,032,200 924,000 818,100 766,200 728,700 699,442 649,219 593,187 569,995 541,211 567,037 574,795 546,844 506,946 466,821 408,626 323,221
Inventories 3,209,800 2,535,300 2,380,000 2,247,100 2,155,700 2,059,100 1,957,300 1,834,572 1,769,962 1,853,776 2,025,204 1,945,180 1,893,538 1,864,334 1,682,703 1,289,706 1,100,550 852,810 694,217
Short-term Activity Ratio
Inventory turnover1 1.38 1.54 1.49 1.44 1.40 1.38 1.36 1.37 1.33 1.23 1.11 1.15 1.16 1.12 1.15 1.32 1.36 1.53 1.65
Benchmarks
Inventory Turnover, Competitors2
Apple Inc. 21.61 34.89 39.06 38.64 36.77 34.08 30.63 28.87 33.80 33.32 32.57 33.82 29.54 29.24 32.36 45.20 40.43 40.07 36.69
Cisco Systems Inc. 4.60 5.30 5.97 6.28 6.83 6.45 5.91 5.63 6.28 6.38 6.30 5.83 6.01 6.45 7.41 7.52 8.52 9.19 10.06
Dell Technologies Inc. 11.86 11.10 10.16 11.07 10.98 11.95 14.44 18.65 20.66 20.02 18.72 16.67 13.40 14.38 13.11 13.45 13.76 16.63 17.53
Lumentum Holdings Inc. 2.33 2.32 2.26 2.35 2.45 2.58 2.57 2.57 2.50 2.16 2.46 2.73 2.62 2.82 2.58 3.44 3.79 4.11 4.19
Super Micro Computer Inc. 2.78 2.44 3.30 4.18 4.94 5.07 3.31 2.98 2.41 3.14 2.97 4.04 3.49 3.84 2.88 2.84 2.50 2.58 2.77

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 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 Q3 2026 Calculation
Inventory turnover = (Cost of revenueQ3 2026 + Cost of revenueQ2 2026 + Cost of revenueQ1 2026 + Cost of revenueQ4 2025) ÷ Inventories
= (1,331,900 + 1,125,400 + 1,032,200 + 924,000) ÷ 3,209,800 = 1.38

2 Click competitor name to see calculations.


An analysis of the operating activity ratios reveals a fluctuating trend in inventory management efficiency between March 2022 and September 2026. While both the cost of revenue and inventory levels demonstrate substantial long-term growth, the inventory turnover ratio suggests three distinct operational phases: a period of diminishing efficiency, a recovery phase, and a recent decline in turnover speed.

Inventory Turnover Ratio Trends
The inventory turnover ratio experienced a steady decline from a high of 1.65 in March 2022, reaching a minimum of 1.11 by March 2024. This downward trend indicates that inventories were accumulating faster than the cost of revenue was increasing, suggesting a potential buildup of unsold goods or a strategic increase in safety stock. Following this trough, the ratio entered a recovery phase, climbing consistently to a peak of 1.54 in June 2026, which reflects improved operational efficiency and a tighter alignment between inventory levels and sales demand.
Correlation Between Cost of Revenue and Inventory Growth
Cost of revenue increased significantly from 323,221 thousand USD in March 2022 to 1,331,900 thousand USD by September 2026. During the same period, inventories rose from 694,217 thousand USD to 3,209,800 thousand USD. The period between March 2023 and March 2024 was marked by the most pronounced divergence, where inventories grew by approximately 20% while the turnover ratio hit its lowest point, signaling a period of lower asset productivity.
Analysis of Recent Volatility
The final data point in September 2026 shows a notable shift in the trend. Despite the cost of revenue continuing its upward trajectory to 1,331,900 thousand USD, there was a sharp increase in inventory levels, which rose from 2,535,300 thousand USD in June to 3,209,800 thousand USD in September. This rapid accumulation of inventory resulted in the turnover ratio dropping from 1.54 to 1.38 in a single quarter, indicating a sudden decrease in the rate at which inventory is being cycled through the business.

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Receivables Turnover

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

Microsoft Excel
Sep 30, 2026 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
Selected Financial Data (US$ in thousands)
Revenue 3,657,600 3,035,700 2,709,000 2,487,800 2,308,300 2,204,800 2,004,800 1,930,436 1,810,936 1,690,400 1,571,374 1,540,437 1,509,456 1,458,924 1,351,351 1,275,552 1,176,801 1,051,891 877,066
Accounts receivable, net 2,327,800 2,266,200 1,923,800 1,886,900 1,489,400 1,623,600 1,435,900 1,140,478 1,130,897 1,226,795 1,090,041 1,024,569 833,374 779,726 862,875 923,096 651,512 585,786 648,606
Short-term Activity Ratio
Receivables turnover1 5.11 4.65 5.05 4.77 5.67 4.90 5.18 6.14 5.85 5.14 5.58 5.72 6.71 6.75 5.63 4.75 6.03 5.98 4.87
Benchmarks
Receivables Turnover, Competitors2
Apple Inc. 14.87 14.88 10.91 10.46 14.83 15.32 13.35 11.70 16.92 17.48 16.63 12.99 19.64 21.47 16.32 13.99 17.77 18.55 12.52
Cisco Systems Inc. 9.37 8.94 11.95 8.45 10.54 9.56 11.89 8.05 10.80 11.72 12.01 9.74 10.76 10.15 9.61 7.79 8.92 8.59 9.57
Dell Technologies Inc. 8.88 6.75 9.88 9.28 8.40 8.06 10.48 9.46 9.38 9.04 10.33 8.20 9.21 7.96 8.85 7.84 7.01 7.46 8.70
Lumentum Holdings Inc. 5.63 5.59 6.00 6.58 5.76 6.23 6.94 6.98 6.19 5.79 7.17 7.18 6.54 5.54 5.20 6.54 6.95 7.14 6.61
Super Micro Computer Inc. 4.01 2.55 8.34 9.97 8.16 6.80 6.88 5.48 7.16 6.16 8.74 6.20 9.78 8.65 8.17 6.23 6.81 8.38 8.36

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 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 Q3 2026 Calculation
Receivables turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Accounts receivable, net
= (3,657,600 + 3,035,700 + 2,709,000 + 2,487,800) ÷ 2,327,800 = 5.11

2 Click competitor name to see calculations.


The financial performance over the period from March 2022 to September 2026 is characterized by aggressive expansion in revenue, accompanied by a corresponding increase in net accounts receivable. While the volume of business scaled significantly, the efficiency of receivables collection exhibited cyclical volatility and a general trend toward a lower turnover ratio in the latter half of the period.

Revenue and Receivables Growth
Revenue demonstrated a consistent upward trajectory, increasing from 877,066 thousand USD in March 2022 to 3,657,600 thousand USD by September 2026. Parallel to this growth, net accounts receivable rose from 648,606 thousand USD to 2,327,800 thousand USD. This indicates that as the scale of operations expanded, the volume of outstanding credit extended to customers increased proportionally.
Receivables Turnover Fluctuations
The receivables turnover ratio experienced notable volatility, peaking at 6.75 in June 2023. Following this peak, a gradual decline is observed, with the ratio reaching a low of 4.65 in June 2026. While the ratio remained relatively stable between 5.50 and 6.70 during 2022 and 2023, it entered a period of lower efficiency starting in 2024, frequently dipping toward or below the 5.00 mark.
Analysis of Collection Efficiency
The divergence between the rapid growth in revenue and the declining turnover ratio suggests a lengthening of the average collection cycle. The transition from turnover ratios above 6.00 in 2022-2023 to ratios predominantly below 5.20 in 2025-2026 indicates that the company is taking longer to convert its receivables into cash. This trend may be reflective of changes in customer payment terms, the acquisition of larger clients with longer payment cycles, or a strategic decision to ease credit requirements to sustain high revenue growth.

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Payables Turnover

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

Microsoft Excel
Sep 30, 2026 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
Selected Financial Data (US$ in thousands)
Cost of revenue 1,331,900 1,125,400 1,032,200 924,000 818,100 766,200 728,700 699,442 649,219 593,187 569,995 541,211 567,037 574,795 546,844 506,946 466,821 408,626 323,221
Accounts payable 682,600 692,700 608,400 651,700 481,000 543,900 389,100 381,083 289,161 297,832 223,305 435,059 268,972 351,920 330,171 232,572 278,469 275,093 204,675
Short-term Activity Ratio
Payables turnover1 6.47 5.63 5.82 4.97 6.26 5.23 6.86 6.59 8.14 7.63 10.09 5.13 8.16 5.95 5.84 7.33 5.39 4.74 5.61
Benchmarks
Payables Turnover, Competitors2
Apple Inc. 3.71 4.10 3.25 3.16 4.33 3.95 3.42 3.05 4.38 4.54 3.65 3.42 4.65 5.10 3.81 3.49 4.54 4.15 2.90
Cisco Systems Inc. 7.30 7.52 8.39 7.86 8.55 9.93 9.31 8.24 9.53 11.08 10.11 9.19 8.55 8.69 8.53 8.47 8.31 9.00 8.15
Dell Technologies Inc. 3.46 2.91 2.97 3.57 3.12 2.95 3.35 3.48 3.59 3.59 4.22 4.28 3.67 3.34 3.22 2.92 2.80 3.05 3.11
Lumentum Holdings Inc. 3.75 3.81 4.30 4.90 5.31 5.62 6.36 8.11 7.89 6.26 7.83 6.57 5.41 5.03 4.59 5.50 6.70 7.24 8.53
Super Micro Computer Inc. 8.37 1.88 14.79 15.24 29.76 33.19 9.70 8.78 9.09 6.13 5.63 7.52 8.38 9.76 6.38 6.71 5.09 5.18 5.82

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 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 Q3 2026 Calculation
Payables turnover = (Cost of revenueQ3 2026 + Cost of revenueQ2 2026 + Cost of revenueQ1 2026 + Cost of revenueQ4 2025) ÷ Accounts payable
= (1,331,900 + 1,125,400 + 1,032,200 + 924,000) ÷ 682,600 = 6.47

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a period of significant expansion in operational scale coupled with fluctuating efficiency in the management of supplier obligations. While the cost of revenue exhibits a consistent upward trajectory, the payables turnover ratio demonstrates substantial volatility, indicating varying strategies or pressures regarding the timing of payments to vendors.

Cost of Revenue Trajectory
A sustained increase in the cost of revenue is observed, rising from 323,221 thousand USD in March 2022 to 1,331,900 thousand USD by September 2026. This steady growth reflects a significant expansion in business volume and operational requirements over the analyzed period.
Accounts Payable Volatility
Accounts payable balances do not follow a linear growth pattern, showing marked fluctuations. Notable peaks occurred in December 2023 (435,059 thousand USD) and December 2025 (651,700 thousand USD), while sharp declines were noted in March 2024 (223,305 thousand USD) and September 2023 (268,972 thousand USD). This suggests a non-uniform approach to managing short-term liabilities.
Payables Turnover Dynamics
The payables turnover ratio exhibits significant variance, ranging from a low of 4.74 in June 2022 to a peak of 10.09 in March 2024. The spike in March 2024 indicates an exceptionally rapid liquidation of payables relative to the cost of revenue, whereas the decline to 4.97 in December 2025 suggests a slower payment cycle or an increase in the use of supplier credit to fund operations.
Operational Efficiency and Working Capital
The lack of a stabilized turnover ratio suggests that payment cycles are influenced by seasonal requirements or strategic shifts in vendor negotiations. The general trend from 2025 through 2026 shows the ratio stabilizing between 4.97 and 6.47, which indicates a more consistent, albeit slower, payment cadence compared to the volatility observed in 2023 and early 2024.

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Working Capital Turnover

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

Microsoft Excel
Sep 30, 2026 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
Selected Financial Data (US$ in thousands)
Current assets 22,132,300 20,163,400 18,556,700 16,387,000 15,184,800 13,503,500 12,276,300 11,910,815 10,877,940 9,842,318 8,926,283 8,390,235 7,654,998 6,851,557 6,270,533 5,550,748 5,031,678 4,729,195 5,105,174
Less: Current liabilities 6,722,000 6,818,400 6,560,100 5,376,500 4,666,600 4,051,400 3,121,600 2,732,222 2,434,374 2,161,879 1,783,064 1,909,606 1,846,725 1,655,792 1,584,909 1,293,531 1,254,912 1,278,026 1,369,005
Working capital 15,410,300 13,345,000 11,996,600 11,010,500 10,518,200 9,452,100 9,154,700 9,178,593 8,443,566 7,680,439 7,143,219 6,480,629 5,808,273 5,195,765 4,685,624 4,257,217 3,776,766 3,451,169 3,736,169
 
Revenue 3,657,600 3,035,700 2,709,000 2,487,800 2,308,300 2,204,800 2,004,800 1,930,436 1,810,936 1,690,400 1,571,374 1,540,437 1,509,456 1,458,924 1,351,351 1,275,552 1,176,801 1,051,891 877,066
Short-term Activity Ratio
Working capital turnover1 0.77 0.79 0.81 0.82 0.80 0.84 0.81 0.76 0.78 0.82 0.85 0.90 0.96 1.01 1.04 1.03 1.04 1.01 0.85
Benchmarks
Working Capital Turnover, Competitors2
Apple Inc. 948.83 47.66 — — — — — — — 83.07 39.69 — — — — — — — 67.80
Cisco Systems Inc. — — — — — — — — — 5.08 4.60 4.73 4.89 4.72 4.65 4.65 4.36 4.74 3.54
Dell Technologies Inc. — — — — — — — — — — — — — — — — — — —
Lumentum Holdings Inc. 4.69 — 3.29 1.24 1.12 1.08 1.04 1.03 1.07 1.02 0.75 0.82 1.07 1.09 1.08 0.71 0.69 0.91 0.96
Super Micro Computer Inc. 2.51 2.62 2.04 2.21 2.67 2.85 2.69 2.28 1.86 3.25 3.76 3.95 4.05 3.84 3.94 3.89 3.91 3.81 4.09

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 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 Q3 2026 Calculation
Working capital turnover = (RevenueQ3 2026 + RevenueQ2 2026 + RevenueQ1 2026 + RevenueQ4 2025) ÷ Working capital
= (3,657,600 + 3,035,700 + 2,709,000 + 2,487,800) ÷ 15,410,300 = 0.77

2 Click competitor name to see calculations.


An analysis of the financial metrics from March 2022 through September 2026 reveals a period of significant expansion in both operational scale and liquidity. While both revenue and working capital grew substantially over the observed timeframe, the rate of growth in working capital eventually outpaced the growth in quarterly revenue, leading to a compression in the working capital turnover ratio.

Working Capital Trends
Working capital exhibited a consistent and aggressive upward trajectory throughout the entire period. Starting at 3,736,169 thousand USD in March 2022, the figure climbed steadily to reach 15,410,300 thousand USD by September 2026. This represents a more than fourfold increase, indicating a massive accumulation of current assets relative to current liabilities.
Revenue Growth Patterns
Revenue demonstrated sustained growth, increasing from 877,066 thousand USD in March 2022 to 3,657,600 thousand USD in September 2026. The growth was relatively stable, with a notable acceleration in the final year of the period, particularly between March 2026 and September 2026.
Working Capital Turnover Analysis
The working capital turnover ratio followed a non-linear path, characterized by an initial increase, a prolonged decline, and a final period of relative stabilization at a lower level. The ratio began at 0.85, peaked at 1.04 in March 2023, and then entered a gradual downward trend, reaching a low of 0.76 by December 2023. Despite a brief recovery to 0.84 in June 2025, the ratio ultimately declined to 0.77 by September 2026.
Operational Efficiency Insights
The decline in the turnover ratio suggests a decrease in the efficiency with which working capital is utilized to generate revenue. Because the ratio is falling while both the numerator (revenue) and denominator (working capital) are increasing, it is evident that the investment in short-term assets is growing faster than the corresponding growth in sales. This pattern may indicate an intentional build-up of inventory or a strategic increase in liquidity to support future expansion, although it results in a lower turnover efficiency in the short term.

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Average Inventory Processing Period

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

Microsoft Excel
Sep 30, 2026 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
Selected Financial Data
Inventory turnover 1.38 1.54 1.49 1.44 1.40 1.38 1.36 1.37 1.33 1.23 1.11 1.15 1.16 1.12 1.15 1.32 1.36 1.53 1.65
Short-term Activity Ratio (no. days)
Average inventory processing period1 265 237 245 253 261 264 268 267 274 298 328 318 315 325 318 276 268 239 221
Benchmarks (no. days)
Average Inventory Processing Period, Competitors2
Apple Inc. 17 10 9 9 10 11 12 13 11 11 11 11 12 12 11 8 9 9 10
Cisco Systems Inc. 79 69 61 58 53 57 62 65 58 57 58 63 61 57 49 49 43 40 36
Dell Technologies Inc. 31 33 36 33 33 31 25 20 18 18 19 22 27 25 28 27 27 22 21
Lumentum Holdings Inc. 157 157 162 156 149 142 142 142 146 169 148 134 139 129 142 106 96 89 87
Super Micro Computer Inc. 131 150 110 87 74 72 110 122 152 116 123 90 105 95 127 128 146 141 132

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 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 Q3 2026 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ 1.38 = 265

2 Click competitor name to see calculations.


The inventory management cycle exhibits a distinct U-shaped trajectory over the analyzed period, characterized by an initial decline in efficiency followed by a sustained recovery and a recent moderate fluctuation.

Inventory Efficiency Deterioration (March 2022 – March 2024)
A period of declining operational efficiency is observed starting in early 2022. The inventory turnover ratio decreased steadily from 1.65 in March 2022 to a trough of 1.11 by March 2024. Concurrently, the average inventory processing period extended significantly, rising from 221 days to a peak of 328 days. This trend indicates a slower conversion of inventory into sales, suggesting either a strategic buildup of stock or a decrease in demand relative to inventory levels.
Operational Recovery and Optimization (June 2024 – June 2026)
A consistent improvement in inventory throughput is evident beginning in the second quarter of 2024. The processing period declined from 298 days in June 2024 to a low of 237 days by June 2026. This optimization is mirrored by the inventory turnover ratio, which climbed from 1.23 to a peak of 1.54 during the same interval. These metrics point toward enhanced supply chain efficiency and more effective inventory lean management.
Recent Performance Variance (September 2026)
A reversal in the recovery trend is noted in the final quarter of the observed period. The average inventory processing period increased to 265 days, while the inventory turnover ratio contracted to 1.38. This shift suggests a recent increase in the time required to process inventory, potentially reflecting new stocking strategies or a temporary misalignment between inventory levels and sales volume.

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Average Receivable Collection Period

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

Microsoft Excel
Sep 30, 2026 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
Selected Financial Data
Receivables turnover 5.11 4.65 5.05 4.77 5.67 4.90 5.18 6.14 5.85 5.14 5.58 5.72 6.71 6.75 5.63 4.75 6.03 5.98 4.87
Short-term Activity Ratio (no. days)
Average receivable collection period1 71 78 72 76 64 75 70 59 62 71 65 64 54 54 65 77 61 61 75
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Apple Inc. 25 25 33 35 25 24 27 31 22 21 22 28 19 17 22 26 21 20 29
Cisco Systems Inc. 39 41 31 43 35 38 31 45 34 31 30 37 34 36 38 47 41 43 38
Dell Technologies Inc. 41 54 37 39 43 45 35 39 39 40 35 45 40 46 41 47 52 49 42
Lumentum Holdings Inc. 65 65 61 55 63 59 53 52 59 63 51 51 56 66 70 56 53 51 55
Super Micro Computer Inc. 91 143 44 37 45 54 53 67 51 59 42 59 37 42 45 59 54 44 44

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 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 Q3 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 5.11 = 71

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a period of fluctuation in receivable management, characterized by a consistent inverse relationship between the receivables turnover ratio and the average receivable collection period.

Receivables Turnover Trends
The receivables turnover ratio exhibited significant volatility over the observed period, reaching a peak of 6.75 in June 2023. Following this peak, a general downward trajectory is observable, with the ratio reaching a low of 4.65 by June 2026. This decline suggests a reduction in the velocity of receivable conversions into cash over the latter half of the analyzed timeframe.
Average Receivable Collection Period
The average receivable collection period mirrors the turnover trends, with the shortest collection cycle occurring in mid-2023 at 54 days. A subsequent increase in the collection period is noted, with the duration extending to a peak of 78 days by June 2026. The data indicates a general lengthening of the time required to collect outstanding payments from customers, particularly starting in 2025.
Operational Efficiency and Cyclicality
The highest level of collection efficiency was maintained between June and September 2023. From 2024 onward, a pattern of instability emerges, where the collection period frequently oscillates between 59 and 78 days. The transition from a 54-day average in 2023 to a 71-day average by September 2026 suggests a potential shift in credit policies or a change in the payment behavior of the customer base.

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Operating Cycle

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

No. days

Microsoft Excel
Sep 30, 2026 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
Selected Financial Data
Average inventory processing period 265 237 245 253 261 264 268 267 274 298 328 318 315 325 318 276 268 239 221
Average receivable collection period 71 78 72 76 64 75 70 59 62 71 65 64 54 54 65 77 61 61 75
Short-term Activity Ratio
Operating cycle1 336 315 317 329 325 339 338 326 336 369 393 382 369 379 383 353 329 300 296
Benchmarks
Operating Cycle, Competitors2
Apple Inc. 42 35 42 44 35 35 39 44 33 32 33 39 31 29 33 34 30 29 39
Cisco Systems Inc. 118 110 92 101 88 95 93 110 92 88 88 100 95 93 87 96 84 83 74
Dell Technologies Inc. 72 87 73 72 76 76 60 59 57 58 54 67 67 71 69 74 79 71 63
Lumentum Holdings Inc. 222 222 223 211 212 201 195 194 205 232 199 185 195 195 212 162 149 140 142
Super Micro Computer Inc. 222 293 154 124 119 126 163 189 203 175 165 149 142 137 172 187 200 185 176

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 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 Q3 2026 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= 265 + 71 = 336

2 Click competitor name to see calculations.


The operating cycle exhibits a period of significant expansion followed by a gradual contraction and a recent modest increase. The primary driver of these fluctuations is the inventory processing period, whereas the receivable collection period demonstrates relative stability over the observed timeframe.

Average Inventory Processing Period
A sustained upward trend is observed from March 2022, where the period stood at 221 days, peaking at 328 days by March 2024. This expansion indicates a prolonged duration for converting inventory into sales. Following this peak, a consistent downward trend occurred, reaching a low of 237 days in June 2026, before returning to 265 days by September 2026.
Average Receivable Collection Period
This metric shows significantly lower volatility compared to inventory levels. The collection period fluctuated within a range of 54 to 78 days. The most efficient collection phases were noted between June and September 2023. A gradual increase in the collection period was observed from December 2023 through June 2026, indicating a slight deceleration in the conversion of receivables to cash.
Operating Cycle Dynamics
The total operating cycle closely mirrors the movements of the inventory processing period. The cycle lengthened from 296 days in March 2022 to a peak of 393 days in March 2024. A subsequent contraction brought the cycle down to 315 days by June 2026. The final observation in September 2026 shows an increase to 336 days, driven by a simultaneous rise in both inventory processing and receivable collection times.

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Average Payables Payment Period

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

Microsoft Excel
Sep 30, 2026 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
Selected Financial Data
Payables turnover 6.47 5.63 5.82 4.97 6.26 5.23 6.86 6.59 8.14 7.63 10.09 5.13 8.16 5.95 5.84 7.33 5.39 4.74 5.61
Short-term Activity Ratio (no. days)
Average payables payment period1 56 65 63 73 58 70 53 55 45 48 36 71 45 61 62 50 68 77 65
Benchmarks (no. days)
Average Payables Payment Period, Competitors2
Apple Inc. 98 89 112 115 84 92 107 120 83 80 100 107 79 72 96 105 80 88 126
Cisco Systems Inc. 50 49 44 46 43 37 39 44 38 33 36 40 43 42 43 43 44 41 45
Dell Technologies Inc. 105 125 123 102 117 124 109 105 102 102 86 85 99 109 113 125 130 120 117
Lumentum Holdings Inc. 97 96 85 75 69 65 57 45 46 58 47 56 67 72 80 66 54 50 43
Super Micro Computer Inc. 44 195 25 24 12 11 38 42 40 60 65 49 44 37 57 54 72 70 63

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 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 Q3 2026 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ 6.47 = 56

2 Click competitor name to see calculations.


The average payables payment period exhibits significant volatility over the observed timeframe, characterized by cyclical fluctuations in the speed at which obligations to suppliers are settled. The duration varies from a minimum of 36 days to a maximum of 77 days, reflecting periodic shifts in working capital management or changes in supplier credit terms.

Payables Turnover Dynamics
A consistent inverse correlation is observed between the payables turnover ratio and the average payment period. The turnover ratio reached its peak of 10.09 in March 2024, marking the point of highest efficiency in clearing payables. Conversely, the lowest turnover ratios, specifically 4.74 in June 2022 and 4.97 in December 2025, align with the periods of longest payment duration.
Payment Period Trend Analysis
The payment cycle began with an upward movement to 77 days in June 2022, followed by a period of instability between 45 and 71 days throughout 2023. A sharp contraction occurred in the first quarter of 2024, where the period plummeted to 36 days. This was followed by a gradual expansionary trend, with the payment period climbing back to 73 days by September 2025, before stabilizing in the 56 to 65-day range toward the end of the series.
Operational Insights
The significant drop in the payment period during early 2024 suggests a temporary strategic shift, potentially to leverage early payment discounts or reduce total liabilities. The subsequent return to a longer payment cycle indicates a pivot back toward preserving liquidity by extending the time taken to settle accounts payable, thereby increasing the available cash on hand for other operational needs.

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Cash Conversion Cycle

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

No. days

Microsoft Excel
Sep 30, 2026 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
Selected Financial Data
Average inventory processing period 265 237 245 253 261 264 268 267 274 298 328 318 315 325 318 276 268 239 221
Average receivable collection period 71 78 72 76 64 75 70 59 62 71 65 64 54 54 65 77 61 61 75
Average payables payment period 56 65 63 73 58 70 53 55 45 48 36 71 45 61 62 50 68 77 65
Short-term Activity Ratio
Cash conversion cycle1 280 250 254 256 267 269 285 271 291 321 357 311 324 318 321 303 261 223 231
Benchmarks
Cash Conversion Cycle, Competitors2
Apple Inc. -56 -54 -70 -71 -49 -57 -68 -76 -50 -48 -67 -68 -48 -43 -63 -71 -50 -59 -87
Cisco Systems Inc. 68 61 48 55 45 58 54 66 54 55 52 60 52 51 44 53 40 42 29
Dell Technologies Inc. -33 -38 -50 -30 -41 -48 -49 -46 -45 -44 -32 -18 -32 -38 -44 -51 -51 -49 -54
Lumentum Holdings Inc. 125 126 138 136 143 136 138 149 159 174 152 129 128 123 132 96 95 90 99
Super Micro Computer Inc. 178 98 129 100 107 115 125 147 163 115 100 100 98 100 115 133 128 115 113

Based on: 10-Q (reporting date: 2026-09-30), 10-Q (reporting date: 2026-06-30), 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 Q3 2026 Calculation
Cash conversion cycle = Average inventory processing period + Average receivable collection period – Average payables payment period
= 265 + 71 – 56 = 280

2 Click competitor name to see calculations.


The cash conversion cycle demonstrates a period of significant expansion followed by a gradual contraction and subsequent stabilization. The overall trend is primarily driven by fluctuations in inventory management, while receivables and payables contribute secondary volatility to the liquidity cycle.

Average Inventory Processing Period
A substantial upward trend is observed from March 2022, where the period stood at 221 days, peaking at 328 days in March 2024. This expansion suggests a prolonged period of inventory accumulation or slower turnover. Following this peak, a consistent downward trend emerged, with the period declining to 237 days by June 2026, before a final increase to 265 days in September 2026.
Average Receivable Collection Period
Receivable collections exhibit relative stability, oscillating within a range of 54 to 78 days throughout the analyzed period. There is no definitive long-term upward or downward trajectory, indicating consistent credit enforcement and collection efficiency across the observed quarters.
Average Payables Payment Period
The payment period for payables is characterized by high volatility. A notable contraction occurred between December 2022 (50 days) and March 2024, reaching a minimum of 36 days. This was followed by a recovery and subsequent fluctuation, peaking again at 73 days in December 2025 before settling at 56 days by September 2026.
Cash Conversion Cycle Synthesis
The cash conversion cycle mirrored the movements of inventory processing, rising from 231 days in March 2022 to a peak of 357 days in March 2024. This peak was the result of a convergence of maximum inventory holding periods and minimum payables leverage. From mid-2024 through June 2026, the cycle improved significantly, reaching a low of 250 days. The period ended with a moderate increase to 280 days in September 2026, reflecting a slight deterioration in operating liquidity toward the end of the timeframe.

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