General Motors (GM) Net Long-Term Debt Issued (Repaid) (2010 - 2026)
Analysis
General Motors (GM) Net Long-Term Debt Issued (Repaid) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,318.48 Bn | 1,144.51 Bn | 4.75 Bn | -63.00 Mn |
| 2 | General Motors | 70.30 Bn | -34.31 Bn | 9.28 Bn | 1.95 Bn |
| 3 | Ferrari | 69.47 Bn | 61.96 Bn | 1.18 Bn | 29.72 Mn |
| 4 | Ford Motor | 46.75 Bn | -95.75 Bn | 6.08 Bn | 116.00 Mn |
| 5 | Honda Motor | 45.43 Bn | -104.38 Bn | 8.46 Bn | 4.32 Bn |
| 6 | Toyota Motor | 25.22 Bn | -381.28 Bn | 20.95 Bn | 43.65 Bn |
| 7 | Magna International | 18.07 Bn | 12.09 Bn | 1.61 Bn | 6.00 Mn |
| 8 | Rivian Automotive | 15.66 Bn | -7.65 Bn | 179.00 Mn | - |
| 9 | Stellantis | 11.94 Bn | -152.71 Bn | 5.55 Bn | 11.61 Bn |
| 10 | Li Auto | 11.33 Bn | -37.62 Bn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.95 Bn |
| Jun 30, 2026 | 91.00 Mn |
| Mar 31, 2026 | -2.44 Bn |
| Dec 31, 2025 | -2.13 Bn |
| Sep 30, 2025 | -3.62 Bn |
| Jun 30, 2025 | 1.67 Bn |
| Mar 31, 2025 | 1.68 Bn |
| Dec 31, 2024 | 3.89 Bn |
| Sep 30, 2024 | 685.00 Mn |
| Jun 30, 2024 | 4.30 Bn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 2.20 Bn |
| Sep 30, 2023 | 1.67 Bn |
| Jun 30, 2023 | 3.06 Bn |
| Mar 31, 2023 | -640.00 Mn |
| Dec 31, 2022 | 1.80 Bn |
| Sep 30, 2022 | 3.07 Bn |
| Jun 30, 2022 | 1.47 Bn |
| Mar 31, 2022 | -142.00 Mn |
| Dec 31, 2021 | 917.00 Mn |
API Access
General Motors Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();