Magna International (MGA) Price to Book (2009 - 2026)
Magna International's (MGA) Price to Book was 1.31 for the quarter ended Mar 31, 2026, up 13.7% from the prior quarter.
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Analysis
Magna International (MGA) Price to Book (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Book at Magna International was 1.15, up 23.9% from the prior year.
- By year, Price to Book came in at 0.93 in the year ended Dec 31, 2024 (-32.4%), 1.38 in the year ended Dec 31, 2023 (+3.3%), 1.33 in the year ended Dec 31, 2022 (-31.2%) and 1.94 in the year ended Dec 31, 2021 (+6.8%).
- The figure for the quarter ended Mar 31, 2026 ranks as the highest quarterly Price to Book since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,208.91 Bn | 1,034.93 Bn | 4.75 Bn |
| 2 | Ferrari | 69.73 Bn | 62.22 Bn | 1.18 Bn |
| 3 | General Motors | 65.38 Bn | -39.23 Bn | 9.28 Bn |
| 4 | Ford Motor | 45.97 Bn | -96.53 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.14 Bn | -104.67 Bn | 8.46 Bn |
| 6 | Toyota Motor | 25.49 Bn | -375.32 Bn | 20.95 Bn |
| 7 | Magna International | 17.69 Bn | 11.72 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 15.81 Bn | -7.50 Bn | 179.00 Mn |
| 9 | Li Auto | 11.49 Bn | -37.42 Bn | 417.98 Mn |
| 10 | Stellantis | 11.39 Bn | -153.26 Bn | 5.55 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.31 |
| Dec 31, 2025 | 0.82 |
| Dec 31, 2024 | 0.65 |
| Dec 31, 2023 | 0.89 |
| Dec 31, 2022 | 1.00 |
| Dec 31, 2021 | 1.49 |
| Dec 31, 2020 | 1.37 |
| Dec 31, 2019 | 1.49 |
| Dec 31, 2018 | 1.33 |
| Dec 31, 2017 | 1.73 |
| Sep 30, 2017 | 1.86 |
| Jun 30, 2017 | 1.65 |
| Dec 31, 2016 | 1.62 |
| Dec 31, 2015 | 1.79 |
| Dec 31, 2014 | 1.29 |
| Dec 31, 2013 | 1.88 |
| Dec 31, 2012 | 1.23 |
| Jun 30, 2012 | 1.06 |
| Dec 31, 2011 | 0.95 |
| Jun 30, 2011 | 1.49 |
API Access
Magna International 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=MGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "MGA", "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=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();