Aeva Technologies (AEVA) Total Liabilities (2019 - 2026)
Aeva Technologies' Total Liabilities was $200.26 million in Q2 2026, down 4.3% from $209.33 million a year earlier but up 25.4% from the prior quarter.
Aeva Technologies (AEVA) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Aeva Technologies came in at $166.49 million, up 245.9% from FY2024.
- Total Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 96.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $48.14 million in FY2024 (+66.3%), $28.94 million in FY2023 (+8.4%), $26.71 million in FY2022 (+17.1%) and $22.81 million in FY2021 (+298.9%).
- Quarterly Total Liabilities has moved between $18.09 million (Q1 2023) and $209.33 million (Q2 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in seven of the last eight quarters, with growth averaging 154.3%.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2025 (growth of 448.7%); the worst was Q3 2021 (a decline of 88.4%).
- Per Business Quant data, AEVA's Total Liabilities in the three quarters before Q2 2026 was $159.71 million (Q1 2026), $166.49 million (Q4 2025) and $59.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Aeva Technologies | 980.11 Mn | 531.93 Mn | 2.19 Mn | 200.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.26 Mn |
| Mar 31, 2026 | 159.71 Mn |
| Dec 31, 2025 | 166.49 Mn |
| Sep 30, 2025 | 59.58 Mn |
| Jun 30, 2025 | 209.33 Mn |
| Mar 31, 2025 | 45.74 Mn |
| Dec 31, 2024 | 48.14 Mn |
| Sep 30, 2024 | 39.88 Mn |
| Jun 30, 2024 | 38.15 Mn |
| Mar 31, 2024 | 26.61 Mn |
| Dec 31, 2023 | 28.94 Mn |
| Sep 30, 2023 | 19.25 Mn |
| Jun 30, 2023 | 18.14 Mn |
| Mar 31, 2023 | 18.09 Mn |
| Dec 31, 2022 | 26.71 Mn |
| Sep 30, 2022 | 22.00 Mn |
| Jun 30, 2022 | 18.76 Mn |
| Mar 31, 2022 | 20.72 Mn |
| Dec 31, 2021 | 22.81 Mn |
| Sep 30, 2021 | 24.12 Mn |
Aeva Technologies Total Liabilities 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=total-liabilities&ticker=AEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();