General Motors (GM) Long-Term Debt Repayments (2010 - 2026)
General Motors (GM) reported Long-Term Debt Repayments of $1 billion for FY2022.
Analysis
General Motors (GM) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Dating back to FY2009, General Motors' Long-Term Debt Repayments record includes 7 years.
- The FY2022 figure ranks as the highest annual Long-Term Debt Repayments in data going back to FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 392.00 Mn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 14.88 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | -28.57 Mn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 11.78 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | - |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | -21.37 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | -5.00 Mn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | - |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | -3.27 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.88 Bn |
| Mar 31, 2026 | 10.81 Bn |
| Dec 31, 2025 | 8.20 Bn |
| Sep 30, 2025 | 10.08 Bn |
| Jun 30, 2025 | 12.10 Bn |
| Mar 31, 2025 | 15.22 Bn |
| Dec 31, 2024 | 11.39 Bn |
| Sep 30, 2024 | 8.11 Bn |
| Jun 30, 2024 | 10.76 Bn |
| Mar 31, 2024 | 13.14 Bn |
| Dec 31, 2023 | 11.41 Bn |
| Sep 30, 2023 | 9.46 Bn |
| Jun 30, 2023 | 11.69 Bn |
| Mar 31, 2023 | 12.13 Bn |
| Dec 31, 2022 | 7.96 Bn |
| Sep 30, 2022 | 9.39 Bn |
| Jun 30, 2022 | 11.44 Bn |
| Mar 31, 2022 | 10.83 Bn |
| Dec 31, 2021 | 9.54 Bn |
| Sep 30, 2021 | 11.23 Bn |
API Access
General Motors Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();