Arista Networks (ANET) Operating Expenses (2013 - 2026)
Arista Networks' Operating Expenses came in at $532.3 million for Q2 2026, up 17.7% from $452.4 million a year earlier and up 2.6% from the prior quarter.
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Analysis
Arista Networks (ANET) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Arista Networks reported Operating Expenses of $2.09 billion, up 24.8% year-over-year; for FY2025, it came in at $1.91 billion, up 23.7% from FY2024.
- Operating Expenses has increased in each of the last six years, with a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.55 billion in FY2024 (+12.7%), $1.37 billion in FY2023 (+19.5%), $1.15 billion in FY2022 (+20.1%) and $956.04 million in FY2021 (+22.2%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q2 2018.
- Year-over-year, Operating Expenses has increased for 24 consecutive quarters, with growth averaging 21.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 6.6% in Q1 2024 to 36.0% in Q3 2025.
- Business Quant data shows ANET's Operating Expenses at $519 million (Q1 2026), $530.9 million (Q4 2025) and $512 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Hewlett Packard Enterprise | 92.09 Bn | 69.97 Bn | 4.93 Bn | 10.82 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 532.30 Mn |
| Mar 31, 2026 | 519.00 Mn |
| Dec 31, 2025 | 530.90 Mn |
| Sep 30, 2025 | 512.00 Mn |
| Jun 30, 2025 | 452.40 Mn |
| Mar 31, 2025 | 417.30 Mn |
| Dec 31, 2024 | 431.40 Mn |
| Sep 30, 2024 | 376.40 Mn |
| Jun 30, 2024 | 397.60 Mn |
| Mar 31, 2024 | 341.20 Mn |
| Dec 31, 2023 | 359.28 Mn |
| Sep 30, 2023 | 339.72 Mn |
| Jun 30, 2023 | 354.07 Mn |
| Mar 31, 2023 | 319.93 Mn |
| Dec 31, 2022 | 299.69 Mn |
| Sep 30, 2022 | 292.63 Mn |
| Jun 30, 2022 | 280.41 Mn |
| Mar 31, 2022 | 275.86 Mn |
| Dec 31, 2021 | 256.93 Mn |
| Sep 30, 2021 | 245.32 Mn |
API Access
Arista Networks Operating 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=operating-expenses&ticker=ANET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ANET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();