General Motors (GM) Total Non-Current Liabilities (2010 - 2026)
General Motors (GM) posted Total Non-Current Liabilities of $118.34 billion for Q3 2026, down 6.4% from $126.47 billion a year earlier and down 3.2% from the prior quarter.
General Motors (GM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, General Motors' Total Non-Current Liabilities came in at $124.78 billion, up 5.8% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In prior years, General Motors' Total Non-Current Liabilities was $117.91 billion in FY2024 (+6.9%), $110.31 billion in FY2023 (+9.7%), $100.58 billion in FY2022 (-3.7%) and $104.5 billion in FY2021 (-1.1%).
- The Q3 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters, with growth averaging 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2024, with growth of 12.7%; the weakest was Q3 2026, with a decline of 6.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $122.27 billion (Q2 2026), $121.56 billion (Q1 2026) and $124.78 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,300.06 Bn | 1,126.09 Bn | 4.75 Bn | 47.48 Bn |
| 2 | General Motors | 70.69 Bn | -33.92 Bn | 9.28 Bn | 118.34 Bn |
| 3 | Ferrari | 69.64 Bn | 62.13 Bn | 1.18 Bn | 5.53 Bn |
| 4 | Ford Motor | 47.27 Bn | -95.23 Bn | 6.08 Bn | 219.21 Bn |
| 5 | Honda Motor | 44.63 Bn | -105.18 Bn | 8.46 Bn | 5.28 Bn |
| 6 | Toyota Motor | 25.22 Bn | -375.60 Bn | 20.95 Bn | 3.36 Bn |
| 7 | Magna International | 17.91 Bn | 11.93 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 15.34 Bn | -7.97 Bn | 179.00 Mn | 8.76 Bn |
| 9 | Stellantis | 13.73 Bn | -150.92 Bn | 5.55 Bn | 73.67 Bn |
| 10 | Li Auto | 11.43 Bn | -37.53 Bn | 417.98 Mn | 2.98 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 118.34 Bn |
| Jun 30, 2026 | 122.27 Bn |
| Mar 31, 2026 | 121.56 Bn |
| Dec 31, 2025 | 124.78 Bn |
| Sep 30, 2025 | 126.47 Bn |
| Jun 30, 2025 | 127.11 Bn |
| Mar 31, 2025 | 124.93 Bn |
| Dec 31, 2024 | 117.91 Bn |
| Sep 30, 2024 | 119.66 Bn |
| Jun 30, 2024 | 115.69 Bn |
| Mar 31, 2024 | 114.21 Bn |
| Dec 31, 2023 | 110.31 Bn |
| Sep 30, 2023 | 106.16 Bn |
| Jun 30, 2023 | 107.14 Bn |
| Mar 31, 2023 | 102.59 Bn |
| Dec 31, 2022 | 100.58 Bn |
| Sep 30, 2022 | 104.76 Bn |
| Jun 30, 2022 | 105.74 Bn |
| Mar 31, 2022 | 104.87 Bn |
| Dec 31, 2021 | 104.50 Bn |
General Motors 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=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();