Magna International (MGA) EBITDA (2009 - 2023)
Magna International (MGA) recorded EBITDA of $1.53 billion in Q2 2023, up 30.6% from $1.17 billion a year earlier and up 13.6% from the prior quarter.
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 10.6% year-over-year; for FY2022, it was $5.83 billion, down 8.3% from FY2021.
- Annual EBITDA has a five-year compound annual growth rate of -2.2% (FY2017 to FY2022).
- Across earlier years, EBITDA came in at $6.35 billion in FY2021 (+15.4%), $5.51 billion in FY2020 (-14.5%), $6.44 billion in FY2019 (-3.9%) and $6.7 billion in FY2018 (+3.1%).
- The Q2 2023 figure is the highest quarterly EBITDA since Q1 2021.
- On a year-over-year basis, EBITDA rose in three of the last six quarters, with an average decline of 2.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 40.4% in Q1 2021, against a decline of 91.4% in Q2 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.35 billion (Q1 2023), $364.4 million (Q4 2022) and $1.21 billion (Q3 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,229.52 Bn | 1,051.74 Bn | 5.49 Bn | 2.57 Bn |
| 2 | General Motors | 78.00 Bn | -26.61 Bn | 9.28 Bn | 4.80 Bn |
| 3 | Ferrari | 74.74 Bn | 67.04 Bn | 1.14 Bn | 865.68 Mn |
| 4 | Ford Motor | 49.98 Bn | -84.44 Bn | 7.38 Bn | 3.44 Bn |
| 5 | Honda Motor | 47.69 Bn | -102.12 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 28.58 Bn | -354.45 Bn | 19.83 Bn | 11.14 Bn |
| 7 | Rivian Automotive | 20.31 Bn | -1.41 Bn | 176.00 Mn | -630.00 Mn |
| 8 | Magna International | 17.58 Bn | 11.56 Bn | 1.63 Bn | - |
| 9 | Stellantis | 12.82 Bn | -148.62 Bn | 3.94 Bn | 1.43 Bn |
| 10 | Li Auto | 12.44 Bn | -36.52 Bn | 417.98 Mn | - |
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 |
| Sep 30, 2021 | 1.12 Bn |
| Jun 30, 2021 | 1.38 Bn |
| Mar 31, 2021 | 1.58 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 |
| Jun 30, 2018 | 1.45 Bn |
| Mar 31, 2018 | 1.45 Bn |
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_KEY
import 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();