General Motors (GM) Total Current Liabilities (2010 - 2026)
General Motors (GM) reported Total Current Liabilities of $106.33 billion for Q3 2026, up 14.0% from $93.3 billion a year earlier and up 9.8% from the prior quarter.
General Motors (GM) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, General Motors posted Total Current Liabilities of $93.34 billion, down 3.0% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $96.27 billion in FY2024 (+1.9%), $94.45 billion in FY2023 (+3.6%), $91.17 billion in FY2022 (+22.5%) and $74.41 billion in FY2021 (-6.9%).
- The Q3 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- Year over year, Total Current Liabilities has now increased in each of the last three quarters, with growth averaging 1.9% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2022 (growth of 22.5%); the low point was Q4 2021 (a decline of 6.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $96.83 billion (Q2 2026), $94.72 billion (Q1 2026) and $93.34 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,296.92 Bn | 1,122.95 Bn | 4.75 Bn | 35.43 Bn |
| 2 | General Motors | 69.95 Bn | -34.66 Bn | 9.28 Bn | 106.33 Bn |
| 3 | Ferrari | 69.56 Bn | 62.05 Bn | 1.18 Bn | - |
| 4 | Ford Motor | 47.05 Bn | -95.45 Bn | 6.08 Bn | 107.93 Bn |
| 5 | Honda Motor | 44.48 Bn | -105.33 Bn | 8.46 Bn | 63.48 Bn |
| 6 | Toyota Motor | 25.22 Bn | -375.60 Bn | 20.95 Bn | 205.27 Bn |
| 7 | Magna International | 17.73 Bn | 11.76 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 15.25 Bn | -8.06 Bn | 179.00 Mn | 3.62 Bn |
| 9 | Stellantis | 13.64 Bn | -151.01 Bn | 5.55 Bn | 99.58 Bn |
| 10 | Li Auto | 11.40 Bn | -37.56 Bn | 417.98 Mn | 8.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 106.33 Bn |
| Jun 30, 2026 | 96.83 Bn |
| Mar 31, 2026 | 94.72 Bn |
| Dec 31, 2025 | 93.34 Bn |
| Sep 30, 2025 | 93.30 Bn |
| Jun 30, 2025 | 93.81 Bn |
| Mar 31, 2025 | 90.75 Bn |
| Dec 31, 2024 | 96.27 Bn |
| Sep 30, 2024 | 95.46 Bn |
| Jun 30, 2024 | 95.36 Bn |
| Mar 31, 2024 | 91.78 Bn |
| Dec 31, 2023 | 94.45 Bn |
| Sep 30, 2023 | 96.82 Bn |
| Jun 30, 2023 | 92.72 Bn |
| Mar 31, 2023 | 90.19 Bn |
| Dec 31, 2022 | 91.17 Bn |
| Sep 30, 2022 | 86.00 Bn |
| Jun 30, 2022 | 79.40 Bn |
| Mar 31, 2022 | 79.56 Bn |
| Dec 31, 2021 | 74.41 Bn |
General Motors Total 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-current-liabilities&ticker=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();