General Motors (GM) Price to Book (2010 - 2026)
General Motors' (GM) quarterly Price to Book came in at 1.06 in Q2 2026, up 54.49% on a YoY basis from 0.69 in Q2 2025, and up 2.31% quarter-over-quarter from 1.04 in Q1 2026.
General Motors (GM) Price to Book (2010 - 2026) Analysis & Trends
General Motors (GM) has reported Price to Book for 17 consecutive years, with 1.06 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Book rose 54.49% year-over-year to 1.06; the trailing twelve-month figure through Jun 2026 stood at 1.06 (up 54.49% YoY), and the FY2025 full-year result was 1.16, up 44.01% from the prior year.
- Price to Book grew to 1.06 in Q2 2026 per GM's latest filing, from 1.04 in the prior quarter.
- Across five years, Price to Book topped out at 1.16 in Q4 2025 and bottomed at 0.59 in Q3 2023.
- Historically, Price to Book has averaged 0.78 across 5 years, with a median of 0.71 in 2022.
- The sharpest annual moves came in 2022 and 2026: Price to Book plunged 54.49% in 2022, then surged 54.49% in 2026.
- Over 5 years, Price to Book stood at 0.65 in 2022, then retreated by 3.46% to 0.63 in 2023, then rose by 27.84% to 0.81 in 2024, then jumped by 44.01% to 1.16 in 2025, then declined by 8.68% to 1.06 in 2026.
- According to Business Quant data, Price to Book over the past three periods registered 1.06, 1.04, and 1.16 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 |
| Mar 31, 2026 | 1.04 |
| Dec 31, 2025 | 1.16 |
| Sep 30, 2025 | 0.83 |
| Jun 30, 2025 | 0.69 |
| Mar 31, 2025 | 0.68 |
| Dec 31, 2024 | 0.81 |
| Sep 30, 2024 | 0.67 |
| Jun 30, 2024 | 0.73 |
| Mar 31, 2024 | 0.73 |
| Dec 31, 2023 | 0.63 |
| Sep 30, 2023 | 0.59 |
| Jun 30, 2023 | 0.71 |
| Mar 31, 2023 | 0.69 |
| Dec 31, 2022 | 0.65 |
| Sep 30, 2022 | 0.66 |
| Jun 30, 2022 | 0.70 |
| Mar 31, 2022 | 0.98 |
| Dec 31, 2021 | 1.34 |
| Sep 30, 2021 | 1.31 |
General Motors Price to Book 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-book&ticker=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();