A10 Networks (ATEN) Operating Expenses (2013 - 2026)
A10 Networks (ATEN) reported Operating Expenses of $54.36 million for Q2 2026, up 22.4% from $44.4 million a year earlier and up 16.3% from the prior quarter.
A10 Networks (ATEN) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, A10 Networks' Operating Expenses came in at $196.14 million, up 13.7% year-over-year; for FY2025, it came in at $183.37 million, up 10.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $166.31 million in FY2024 (+0.7%), $165.09 million in FY2023 (-3.1%), $170.43 million in FY2022 (+4.5%) and $163.15 million in FY2021 (+3.5%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2018.
- Year over year, Operating Expenses has now increased in each of the last seven quarters, with growth averaging 9.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2026 (growth of 22.4%); the low point was Q4 2023 (a decline of 14.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $46.73 million (Q1 2026), $48.2 million (Q4 2025) and $46.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 198.00 Mn |
| 10 | A10 Networks | 1.96 Bn | 488.35 Mn | 63.38 Mn | 54.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.36 Mn |
| Mar 31, 2026 | 46.73 Mn |
| Dec 31, 2025 | 48.20 Mn |
| Sep 30, 2025 | 46.86 Mn |
| Jun 30, 2025 | 44.40 Mn |
| Mar 31, 2025 | 43.92 Mn |
| Dec 31, 2024 | 40.91 Mn |
| Sep 30, 2024 | 43.24 Mn |
| Jun 30, 2024 | 40.14 Mn |
| Mar 31, 2024 | 42.02 Mn |
| Dec 31, 2023 | 39.14 Mn |
| Sep 30, 2023 | 44.56 Mn |
| Jun 30, 2023 | 40.09 Mn |
| Mar 31, 2023 | 41.31 Mn |
| Dec 31, 2022 | 45.63 Mn |
| Sep 30, 2022 | 41.63 Mn |
| Jun 30, 2022 | 41.35 Mn |
| Mar 31, 2022 | 41.83 Mn |
| Dec 31, 2021 | 44.64 Mn |
| Sep 30, 2021 | 41.86 Mn |
A10 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=ATEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ATEN", "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=ATEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();