General Motors (GM) Total Liabilities (2010 - 2026)
General Motors (GM) recorded Total Liabilities of $219.1 billion in Q2 2026, down 0.8% from $220.93 billion a year earlier but up 1.3% from the prior quarter.
General Motors (GM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, General Motors reported Total Liabilities of $218.12 billion, up 1.8% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $214.17 billion in FY2024 (+4.5%), $204.88 billion in FY2023 (+6.6%), $192.11 billion in FY2022 (+7.4%) and $178.9 billion in FY2021 (-3.6%).
- Quarterly Total Liabilities has ranged from $178.24 billion in Q3 2021 to $220.93 billion in Q2 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 2.9%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 8.0% in Q2 2023, against a decline of 7.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $216.28 billion (Q1 2026), $218.12 billion (Q4 2025) and $219.77 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 61.06 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 404.08 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 136.83 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 219.10 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 7.62 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 249.78 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 10.01 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 176.31 Bn |
| 10 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn | 10.97 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 219.10 Bn |
| Mar 31, 2026 | 216.28 Bn |
| Dec 31, 2025 | 218.12 Bn |
| Sep 30, 2025 | 219.77 Bn |
| Jun 30, 2025 | 220.93 Bn |
| Mar 31, 2025 | 215.68 Bn |
| Dec 31, 2024 | 214.17 Bn |
| Sep 30, 2024 | 215.13 Bn |
| Jun 30, 2024 | 211.06 Bn |
| Mar 31, 2024 | 206.17 Bn |
| Dec 31, 2023 | 204.88 Bn |
| Sep 30, 2023 | 203.30 Bn |
| Jun 30, 2023 | 200.15 Bn |
| Mar 31, 2023 | 193.04 Bn |
| Dec 31, 2022 | 192.11 Bn |
| Sep 30, 2022 | 190.99 Bn |
| Jun 30, 2022 | 185.26 Bn |
| Mar 31, 2022 | 184.72 Bn |
| Dec 31, 2021 | 178.90 Bn |
| Sep 30, 2021 | 178.24 Bn |
General Motors 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=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GM", "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=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();