Magna International (MGA) Restructuring Costs (2009 - 2022)
Magna International (MGA) posted Restructuring Costs of $286.8 million for the quarter ended Dec 31, 2023, down 3.8% from $298.1 million a year earlier.
Powered by 
Analysis
Magna International (MGA) Restructuring Costs (2009 - 2022) Analysis & Trends
Since the quarter ended Jun 30, 2009, Magna International has reported Restructuring Costs for 10 quarters.
- Annual Restructuring Costs shows a four-year compound annual growth rate of 49.1% (years ended Dec 2019 to Dec 2023).
- In prior years, Magna International's Restructuring Costs was $298.1 million in the year ended Dec 31, 2022 (-1.8%), $303.6 million in the year ended Dec 31, 2021, $21 million in the year ended Dec 31, 2020 (-63.8%) and $58 million in the year ended Dec 31, 2019.
- The figure for the quarter ended Dec 31, 2023 stands as the lowest quarterly Restructuring Costs since the quarter ended Dec 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,304.64 Bn | 1,130.67 Bn | 4.75 Bn |
| 2 | General Motors | 78.04 Bn | -26.58 Bn | 9.28 Bn |
| 3 | Ferrari | 71.80 Bn | 64.29 Bn | 1.18 Bn |
| 4 | Ford Motor | 49.88 Bn | -92.62 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.70 Bn | -104.11 Bn | 8.46 Bn |
| 6 | Toyota Motor | 25.55 Bn | -380.95 Bn | 20.95 Bn |
| 7 | Rivian Automotive | 18.92 Bn | -2.80 Bn | 176.00 Mn |
| 8 | Magna International | 18.44 Bn | 12.47 Bn | 1.61 Bn |
| 9 | Stellantis | 13.64 Bn | -147.80 Bn | 3.94 Bn |
| 10 | Li Auto | 11.25 Bn | -37.70 Bn | 417.98 Mn |
API Access
Magna International Restructuring Costs 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=restructuring-costs&ticker=MGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();