Magna International (MGA) Enterprise Value (2009 - 2026)
Magna International's Enterprise Value was $17.31 billion in the quarter ended Jun 30, 2026, up 76.5% from $9.81 billion a year earlier and up 20.3% from the prior quarter.
Magna International (MGA) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Magna International's Enterprise Value was $15.96 billion through Jun 30, 2026, up 74.0% year-over-year; for the year ended Dec 31, 2025, it came in at $16.86 billion, up 22.9% from the prior year.
- Enterprise Value shows a five-year compound annual growth rate of -7.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Enterprise Value was $13.73 billion in the year ended Dec 31, 2024 (-30.4%), $19.73 billion in the year ended Dec 31, 2023 (+6.9%), $18.46 billion in the year ended Dec 31, 2022 (-34.0%) and $27.96 billion in the year ended Dec 31, 2021 (+12.3%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Enterprise Value since the quarter ended Dec 31, 2023.
- Compared with a year earlier, Enterprise Value has increased for four straight quarters, with growth averaging 8.3% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was the quarter ended Jun 30, 2026 (growth of 76.5%); the worst was the quarter ended Jun 30, 2022 (a decline of 39.1%).
- Per Business Quant data, MGA's Enterprise Value in the three quarters before the quarter ended Jun 30, 2026 was $14.39 billion (quarter ended Mar 31, 2026), $16.86 billion (quarter ended Dec 31, 2025) and $12.41 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Li Auto | 11.52 Bn | -42.48 Bn | 417.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.31 Bn |
| Mar 31, 2026 | 14.39 Bn |
| Dec 31, 2025 | 16.86 Bn |
| Sep 30, 2025 | 12.41 Bn |
| Jun 30, 2025 | 9.81 Bn |
| Mar 31, 2025 | 8.98 Bn |
| Dec 31, 2024 | 13.73 Bn |
| Sep 30, 2024 | 11.11 Bn |
| Jun 30, 2024 | 11.39 Bn |
| Mar 31, 2024 | 14.47 Bn |
| Dec 31, 2023 | 19.35 Bn |
| Sep 30, 2023 | 14.68 Bn |
| Jun 30, 2023 | 15.23 Bn |
| Mar 31, 2023 | 13.29 Bn |
| Dec 31, 2022 | 18.06 Bn |
| Sep 30, 2022 | 13.43 Bn |
| Jun 30, 2022 | 15.07 Bn |
| Mar 31, 2022 | 17.56 Bn |
| Dec 31, 2021 | 27.58 Bn |
| Sep 30, 2021 | 19.57 Bn |
Magna International Enterprise Value 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=enterprise-value&ticker=MGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();