General Motors (GM) Total Non-Current Liabilities (2010 - 2026)
General Motors (GM) posted Total Non-Current Liabilities of $122.27 billion for Q2 2026, down 3.8% from $127.11 billion a year earlier but up 0.6% 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%).
- Quarterly Total Non-Current Liabilities has run from a low of $100.58 billion in Q4 2022 to a high of $127.11 billion in Q2 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 5.5%.
- 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 2021, with a decline of 4.3%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $121.56 billion (Q1 2026), $124.78 billion (Q4 2025) and $126.47 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 3.42 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 5.36 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 122.27 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 5.63 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 219.21 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 8.76 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 74.97 Bn |
| 10 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn | 2.98 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 106.29 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();