Aeva Technologies (AEVA) Depreciation and Depletion (2020 - 2026)
Aeva Technologies (AEVA) recorded Depreciation and Depletion of $1 million in Q2 2026, down 9.1% from $1.1 million a year earlier and down 9.1% from the prior quarter.
Aeva Technologies (AEVA) Depreciation and Depletion (2020 - 2026) Analysis & Trends
On a TTM basis, Aeva Technologies' Depreciation and Depletion came in at $4.3 million as of Jun 30, 2026, down 6.5% year-over-year; for FY2025, it was $4.5 million, down 2.2% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 41.3% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $4.6 million in FY2024 (+24.3%), $3.7 million in FY2023 (+54.2%), $2.4 million in FY2022 (+118.2%) and $1.1 million in FY2021 (+37.5%).
- The Q2 2026 figure is the lowest quarterly Depreciation and Depletion since Q3 2023.
- On a year-over-year basis, Depreciation and Depletion has declined for three consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 103.0% in Q4 2021, against a decline of 9.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.1 million (Q1 2026), $1.1 million (Q4 2025) and $1.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,825.63 Bn | 4,573.12 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 429.17 Bn | 365.10 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 346.69 Bn | 302.44 Bn | 9.83 Bn | - |
| 4 | Sandisk | 261.00 Bn | 249.52 Bn | 7.58 Bn | - |
| 5 | Arista Networks | 257.88 Bn | 211.33 Bn | 1.91 Bn | - |
| 6 | Seagate Technology Holdings | 214.45 Bn | 209.44 Bn | 1.90 Bn | - |
| 7 | Western Digital | 166.98 Bn | 155.11 Bn | 2.03 Bn | - |
| 8 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 92.66 Bn | 84.47 Bn | 477.30 Mn | 37.60 Mn |
| 10 | Aeva Technologies | 981.48 Mn | 533.30 Mn | 2.19 Mn | 1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 1.10 Mn |
| Dec 31, 2025 | 1.10 Mn |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 1.10 Mn |
| Mar 31, 2025 | 1.20 Mn |
| Dec 31, 2024 | 1.20 Mn |
| Sep 30, 2024 | 1.10 Mn |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.20 Mn |
| Sep 30, 2023 | 800,000.00 |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 700,000.00 |
| Dec 31, 2022 | 800,000.00 |
| Sep 30, 2022 | 600,000.00 |
| Jun 30, 2022 | 600,000.00 |
| Mar 31, 2022 | 400,000.00 |
| Dec 31, 2021 | 400,000.00 |
| Sep 30, 2021 | 300,000.00 |
Aeva Technologies 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=AEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "AEVA", "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=AEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();