A10 Networks (ATEN) Depreciation and Depletion (2016 - 2026)
A10 Networks (ATEN) posted Depreciation and Depletion of $3.1 million for Q2 2026, up 29.2% from $2.4 million a year earlier and up 14.8% from the prior quarter.
A10 Networks (ATEN) Depreciation and Depletion (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at A10 Networks was $11.1 million, up 46.1% year-over-year; for FY2025, it came in at $9.8 million, up 63.3% from FY2024.
- Annual Depreciation and Depletion has increased for four consecutive years, with a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- In prior years, A10 Networks' Depreciation and Depletion was $6 million in FY2024 (+30.4%), $4.6 million in FY2023 (+70.4%), $2.7 million in FY2022 (+3.8%) and $2.6 million in FY2021 (-38.1%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion in data going back to Q1 2016.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last 16 quarters, with growth averaging 40.7% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2023, with growth of 100.0%; the weakest was Q3 2021, with a decline of 40.0%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $2.7 million (Q1 2026), $2.7 million (Q4 2025) and $2.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | - |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | - |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | - |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | - |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | - |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | - |
| 10 | A10 Networks | 1.78 Bn | 304.34 Mn | 63.38 Mn | 3.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.10 Mn |
| Mar 31, 2026 | 2.70 Mn |
| Dec 31, 2025 | 2.70 Mn |
| Sep 30, 2025 | 2.60 Mn |
| Jun 30, 2025 | 2.40 Mn |
| Mar 31, 2025 | 2.20 Mn |
| Dec 31, 2024 | 1.40 Mn |
| Sep 30, 2024 | 1.60 Mn |
| Jun 30, 2024 | 1.60 Mn |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 1.30 Mn |
| Sep 30, 2023 | 1.40 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 900,000.00 |
| Dec 31, 2022 | 700,000.00 |
| Sep 30, 2022 | 700,000.00 |
| Jun 30, 2022 | 700,000.00 |
| Mar 31, 2022 | 700,000.00 |
| Dec 31, 2021 | 600,000.00 |
| Sep 30, 2021 | 600,000.00 |
A10 Networks Depreciation and Depletion 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=depreciation-and-depletion&ticker=ATEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ATEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();