General Motors (GM) Non-Current Assets (2010 - 2026)
General Motors' Non-Current Assets came in at $173.32 billion for Q3 2026, down 0.1% from $173.53 billion a year earlier but up 0.3% from the prior quarter.
General Motors (GM) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, General Motors' Non-Current Assets was $172.52 billion, up 0.8% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $171.22 billion in FY2024 (-0.1%), $171.45 billion in FY2023 (+4.8%), $163.59 billion in FY2022 (+0.6%) and $162.62 billion in FY2021 (+5.4%).
- The five-year range for quarterly Non-Current Assets is $162.26 billion (Q3 2022) to $175.1 billion (Q2 2025).
- Year-over-year, Non-Current Assets has declined for three consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q4 2021 (growth of 5.4%), and the weakest in Q2 2026 (a decline of 1.4%).
- Business Quant data shows GM's Non-Current Assets at $172.73 billion (Q2 2026), $171.85 billion (Q1 2026) and $172.52 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,318.95 Bn | 1,153.51 Bn | 4.75 Bn | 79.77 Bn |
| 2 | Ferrari | 144.71 Bn | 137.20 Bn | 1.18 Bn | 5.71 Bn |
| 3 | General Motors | 68.40 Bn | -34.50 Bn | 9.28 Bn | 173.32 Bn |
| 4 | Honda Motor | 51.48 Bn | -96.68 Bn | 8.46 Bn | 130.83 Bn |
| 5 | Ford Motor | 45.94 Bn | -96.52 Bn | 6.08 Bn | 168.04 Bn |
| 6 | Toyota Motor | 25.22 Bn | -375.60 Bn | 20.95 Bn | 393.91 Bn |
| 7 | Magna International | 17.96 Bn | 12.33 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.10 Bn | -7.19 Bn | 179.00 Mn | 7.52 Bn |
| 9 | Stellantis | 12.05 Bn | -152.07 Bn | 5.55 Bn | 140.54 Bn |
| 10 | Li Auto | 11.42 Bn | -37.46 Bn | 417.98 Mn | 6.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 173.32 Bn |
| Jun 30, 2026 | 172.73 Bn |
| Mar 31, 2026 | 171.85 Bn |
| Dec 31, 2025 | 172.52 Bn |
| Sep 30, 2025 | 173.53 Bn |
| Jun 30, 2025 | 175.10 Bn |
| Mar 31, 2025 | 172.10 Bn |
| Dec 31, 2024 | 171.22 Bn |
| Sep 30, 2024 | 173.87 Bn |
| Jun 30, 2024 | 170.89 Bn |
| Mar 31, 2024 | 170.12 Bn |
| Dec 31, 2023 | 171.45 Bn |
| Sep 30, 2023 | 170.98 Bn |
| Jun 30, 2023 | 169.03 Bn |
| Mar 31, 2023 | 168.17 Bn |
| Dec 31, 2022 | 163.59 Bn |
| Sep 30, 2022 | 162.26 Bn |
| Jun 30, 2022 | 162.42 Bn |
| Mar 31, 2022 | 162.90 Bn |
| Dec 31, 2021 | 162.62 Bn |
General Motors Non-Current Assets 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-assets&ticker=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();