General Motors (GM) Price to Earnings (2010 - 2026)
General Motors' (GM) quarterly Price to Earnings came in at 52.55 in Q2 2026, up 108.11% on a YoY basis from 25.25 in Q2 2025, and up 104.42% quarter-over-quarter from 25.71 in Q1 2026.
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Analysis
General Motors (GM) Price to Earnings (2010 - 2026) Analysis & Trends
General Motors (GM) has reported Price to Earnings for 17 consecutive years, with 52.55 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 108.11% year-over-year to 52.55; the trailing twelve-month figure through Jun 2026 stood at 36.21 (up 402.04% YoY), and the FY2025 full-year result was 23.12, up 213.55% from the prior year.
- Price to Earnings improved to 52.55 in Q2 2026 per GM's latest filing, from 25.71 in the prior quarter.
- Across five years, Price to Earnings topped out at 52.55 in Q2 2026 and bottomed at 30.73 in Q4 2024.
- Historically, Price to Earnings has averaged 18.77 across 5 years, with a median of 21.01 in 2023.
- The sharpest annual moves came in 2024 and 2025: Price to Earnings tumbled 247.99% in 2024, then soared 169.34% in 2025.
- Over 5 years, Price to Earnings stood at 23.74 in 2022, then fell by 12.53% to 20.76 in 2023, then sank by 247.99% to 30.73 in 2024, then grew by 28.15% to 22.08 in 2025, then surged by 338.05% to 52.55 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 52.55, 25.71, and 22.08 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.55 |
| Mar 31, 2026 | 25.71 |
| Dec 31, 2025 | -22.08 |
| Sep 30, 2025 | 43.86 |
| Jun 30, 2025 | 25.25 |
| Mar 31, 2025 | 13.52 |
| Dec 31, 2024 | -30.73 |
| Sep 30, 2024 | 16.28 |
| Jun 30, 2024 | 17.89 |
| Mar 31, 2024 | 17.42 |
| Dec 31, 2023 | 20.76 |
| Sep 30, 2023 | 15.19 |
| Jun 30, 2023 | 21.25 |
| Mar 31, 2023 | 21.68 |
| Dec 31, 2022 | 23.74 |
| Sep 30, 2022 | 13.91 |
| Jun 30, 2022 | 28.60 |
| Mar 31, 2022 | 33.02 |
| Dec 31, 2021 | 51.85 |
| Sep 30, 2021 | 33.29 |
API Access
General Motors Price to Earnings 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=price-to-earnings&ticker=GM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();