Aeva Technologies (AEVA) Total Non-Current Liabilities (2020 - 2026)
Aeva Technologies (AEVA) posted Total Non-Current Liabilities of $126.3 million for Q2 2026, up 17.8% from $107.19 million a year earlier but down 3.2% from the prior quarter.
Aeva Technologies (AEVA) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Aeva Technologies' Total Non-Current Liabilities came in at $136.78 million, up 243.0% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 89.0% (FY2020 to FY2025).
- In prior years, Aeva Technologies' Total Non-Current Liabilities was $39.88 million in FY2024 (+79.9%), $22.17 million in FY2023 (-16.7%), $26.62 million in FY2022 (+22.4%) and $21.75 million in FY2021 (+283.3%).
- Quarterly Total Non-Current Liabilities has run from a low of $18.02 million in Q1 2023 to a high of $136.78 million in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 122.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2026, with growth of 306.6%; the weakest was Q3 2021, with a decline of 88.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $130.45 million (Q1 2026), $136.78 million (Q4 2025) and $25.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 126.42 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 76.03 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 124.65 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.58 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 3.27 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 6.63 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 4.24 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.78 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 47.78 Bn |
| 10 | Aeva Technologies | 980.11 Mn | 531.93 Mn | 2.19 Mn | 126.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.30 Mn |
| Mar 31, 2026 | 130.45 Mn |
| Dec 31, 2025 | 136.78 Mn |
| Sep 30, 2025 | 25.97 Mn |
| Jun 30, 2025 | 107.19 Mn |
| Mar 31, 2025 | 32.08 Mn |
| Dec 31, 2024 | 39.88 Mn |
| Sep 30, 2024 | 34.92 Mn |
| Jun 30, 2024 | 34.46 Mn |
| Mar 31, 2024 | 19.40 Mn |
| Dec 31, 2023 | 22.17 Mn |
| Sep 30, 2023 | 19.23 Mn |
| Jun 30, 2023 | 18.08 Mn |
| Mar 31, 2023 | 18.02 Mn |
| Dec 31, 2022 | 26.62 Mn |
| Sep 30, 2022 | 21.86 Mn |
| Jun 30, 2022 | 18.49 Mn |
| Mar 31, 2022 | 20.29 Mn |
| Dec 31, 2021 | 21.75 Mn |
| Sep 30, 2021 | 23.01 Mn |
Aeva Technologies Total Non-Current 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-non-current-liabilities&ticker=AEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();