Magna International (MGA) EBITDA (2009 - 2023)
Magna International (MGA) recorded EBITDA of $1.53 billion in the quarter ended Jun 30, 2023, up 30.6% from $1.17 billion a year earlier and up 13.6% from the prior quarter.
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Analysis
Magna International (MGA) EBITDA (2009 - 2023) Analysis & Trends
On a TTM basis, Magna International's EBITDA came in at $4.45 billion as of Jun 30, 2023, down 26.2% year-over-year; for the year ended Dec 31, 2022, it was $1.47 billion, down 58.0% from the prior year.
- Annual EBITDA has a five-year compound annual growth rate of -19.0% (years ended Dec 2017 to Dec 2022).
- Across earlier years, EBITDA came in at $3.5 billion in the year ended Dec 31, 2021 (+18.3%), $2.96 billion in the year ended Dec 31, 2020 (-22.4%), $3.81 billion in the year ended Dec 31, 2019 (-11.3%) and $4.29 billion in the year ended Dec 31, 2018 (+2.0%).
- The figure for the quarter ended Jun 30, 2023 is the highest quarterly EBITDA since the quarter ended Dec 31, 2021.
- On a year-over-year basis, EBITDA rose in four of the last eight quarters, with an average decline of 9.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 40.4% in the quarter ended Mar 31, 2021, against a decline of 91.4% in the quarter ended Jun 30, 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.35 billion (quarter ended Mar 31, 2023), $364.4 million (quarter ended Dec 31, 2022) and $1.21 billion (quarter ended Sep 30, 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 10.70 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | - |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 2.76 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 2.50 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | -599.00 Mn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Li Auto | 11.87 Bn | -42.13 Bn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 1.53 Bn |
| Mar 31, 2023 | 1.35 Bn |
| Dec 31, 2022 | 364.40 Mn |
| Sep 30, 2022 | 1.21 Bn |
| Jun 30, 2022 | 1.17 Bn |
| Mar 31, 2022 | 1.31 Bn |
| Dec 31, 2021 | 2.42 Bn |
| Sep 30, 2021 | 1.12 Bn |
| Jun 30, 2021 | 1.38 Bn |
| Mar 31, 2021 | 1.58 Bn |
| Dec 31, 2020 | 1.95 Bn |
| Sep 30, 2020 | 1.48 Bn |
| Jun 30, 2020 | 122.60 Mn |
| Mar 31, 2020 | 1.12 Bn |
| Dec 31, 2019 | 2.82 Bn |
| Sep 30, 2019 | 1.28 Bn |
| Jun 30, 2019 | 1.43 Bn |
| Mar 31, 2019 | 1.42 Bn |
| Dec 31, 2018 | 3.33 Bn |
| Sep 30, 2018 | 1.35 Bn |
API Access
Magna International EBITDA 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=ebitda&ticker=MGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();