Aeva Technologies (AEVA) Gross Margin (2020 - 2026)
Aeva Technologies' Gross Margin was 35.67% in Q2 2026, up 85.03 percentage points from -49.36% a year earlier and up 4.68 percentage points from the prior quarter.
Aeva Technologies (AEVA) Gross Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aeva Technologies' Gross Margin was 27.22% through Jun 30, 2026, up 55.87 percentage points year-over-year; for FY2025, it was -3.65%, up 38.16 percentage points from FY2024.
- Gross Margin shows a five-year change of -47.05 percentage points (FY2020 to FY2025).
- In earlier years, Gross Margin was -41.81% in FY2024 (+94.69 pp), -136.50% in FY2023 (-35.00 pp), -101.50% in FY2022 (-138.55 pp) and 37.04% in FY2021 (-6.36 pp).
- The Q2 2026 figure marks the highest quarterly Gross Margin since Q2 2021.
- Compared with a year earlier, Gross Margin has increased for four straight quarters, with an average year-over-year change of +59.53 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was Q4 2023 (a gain of 1609.70 percentage points); the worst was Q4 2022 (a drop of 1696.65 percentage points).
- Per Business Quant data, AEVA's Gross Margin in the three quarters before Q2 2026 was 31.00% (Q1 2026), 23.48% (Q4 2025) and 12.01% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,150.22 Bn | 4,895.69 Bn | 54.82 Bn | 47.89% |
| 2 | Cisco Systems | 390.67 Bn | 326.60 Bn | 11.06 Bn | 64.13% |
| 3 | Arista Networks | 234.99 Bn | 184.19 Bn | 2.33 Bn | 63.59% |
| 4 | Dell Technologies | 223.66 Bn | 179.42 Bn | 9.83 Bn | 20.93% |
| 5 | Sony | 161.53 Bn | 96.07 Bn | 7.96 Bn | 36.95% |
| 6 | Sandisk | 129.94 Bn | 114.77 Bn | 9.38 Bn | 85.01% |
| 7 | Seagate Technology Holdings | 115.51 Bn | 110.35 Bn | 2.43 Bn | 57.34% |
| 8 | Western Digital | 105.83 Bn | 95.66 Bn | 2.53 Bn | 57.84% |
| 9 | Hewlett Packard Enterprise | 63.65 Bn | 41.53 Bn | 4.93 Bn | 40.34% |
| 10 | Aeva Technologies | 798.71 Mn | 350.53 Mn | 2.19 Mn | 35.67% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.67% |
| Mar 31, 2026 | 31.00% |
| Dec 31, 2025 | 23.48% |
| Sep 30, 2025 | 12.01% |
| Jun 30, 2025 | -49.36% |
| Mar 31, 2025 | 9.20% |
| Dec 31, 2024 | -30.75% |
| Sep 30, 2024 | -32.04% |
| Jun 30, 2024 | -42.15% |
| Mar 31, 2024 | -66.07% |
| Dec 31, 2023 | -54.13% |
| Sep 30, 2023 | -211.73% |
| Jun 30, 2023 | -258.14% |
| Mar 31, 2023 | -120.30% |
| Dec 31, 2022 | -1,663.83% |
| Sep 30, 2022 | -101.24% |
| Jun 30, 2022 | 33.62% |
| Mar 31, 2022 | -20.93% |
| Dec 31, 2021 | 32.82% |
| Sep 30, 2021 | 33.94% |
Aeva Technologies Gross Margin 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=gross-margin&ticker=AEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=AEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();