Arista Networks (ANET) Accumulated Expenses (2013 - 2026)
Arista Networks (ANET) posted Accumulated Expenses of $486.6 million for Q2 2026, up 27.8% from $380.7 million a year earlier and up 10.2% from the prior quarter.
Arista Networks (ANET) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Arista Networks' Accumulated Expenses came in at $475.4 million, up 9.2% from FY2024.
- Annual Accumulated Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- In prior years, Arista Networks' Accumulated Expenses was $435.3 million in FY2024 (+6.9%), $407.3 million in FY2023 (+39.3%), $292.49 million in FY2022 (+29.1%) and $226.64 million in FY2021 (+58.1%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2013.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last five quarters, with growth averaging 19.0% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2023, with growth of 78.5%; the weakest was Q1 2024, with a decline of 23.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $441.5 million (Q1 2026), $475.4 million (Q4 2025) and $471 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn |
| 10 | Hewlett Packard Enterprise | 92.09 Bn | 69.97 Bn | 4.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 486.60 Mn |
| Mar 31, 2026 | 441.50 Mn |
| Dec 31, 2025 | 475.40 Mn |
| Sep 30, 2025 | 471.00 Mn |
| Jun 30, 2025 | 380.70 Mn |
| Mar 31, 2025 | 263.10 Mn |
| Dec 31, 2024 | 435.30 Mn |
| Sep 30, 2024 | 323.99 Mn |
| Jun 30, 2024 | 320.07 Mn |
| Mar 31, 2024 | 270.59 Mn |
| Dec 31, 2023 | 407.30 Mn |
| Sep 30, 2023 | 410.07 Mn |
| Jun 30, 2023 | 363.04 Mn |
| Mar 31, 2023 | 351.76 Mn |
| Dec 31, 2022 | 292.49 Mn |
| Sep 30, 2022 | 240.61 Mn |
| Jun 30, 2022 | 210.33 Mn |
| Mar 31, 2022 | 197.06 Mn |
| Dec 31, 2021 | 226.64 Mn |
| Sep 30, 2021 | 174.43 Mn |
Arista Networks Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ANET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ANET", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ANET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();