Magna International (MGA) Net of Acquisitions & Divestments (2009 - 2026)
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Analysis
Magna International (MGA) Net of Acquisitions & Divestments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | - |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | - |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | - |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | - |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | - |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | - |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | -77.00 Mn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | - |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 439.37 Mn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -77.00 Mn |
| Mar 31, 2026 | -168.00 Mn |
| Dec 31, 2025 | -499.00 Mn |
| Sep 30, 2025 | -100.00 Mn |
| Jun 30, 2025 | -94.00 Mn |
| Mar 31, 2025 | -148.00 Mn |
| Dec 31, 2024 | -617.00 Mn |
| Sep 30, 2024 | -115.00 Mn |
| Jun 30, 2024 | -170.00 Mn |
| Mar 31, 2024 | -125.00 Mn |
| Dec 31, 2023 | -562.00 Mn |
| Sep 30, 2023 | -176.00 Mn |
| Jun 30, 2023 | -96.00 Mn |
| Mar 31, 2023 | -101.00 Mn |
| Dec 31, 2022 | -455.00 Mn |
| Sep 30, 2022 | -125.00 Mn |
| Jun 30, 2022 | -80.00 Mn |
| Mar 31, 2022 | -64.00 Mn |
| Dec 31, 2021 | -403.00 Mn |
| Sep 30, 2021 | -101.00 Mn |
API Access
Magna International Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=MGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();