Magna International (MGA) Interest Expenses (2009)
Magna International (MGA) reported Interest Expenses of $43 million for the quarter ended Dec 31, 2021, compared with -$46 million a year earlier.
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Analysis
Magna International (MGA) Interest Expenses (2009) Analysis & Trends
Over the twelve months ended Dec 31, 2021, Magna International's Interest Expenses came in at -$20 million; for the year ended Dec 31, 2019, it was -$12 million.
- By year, Interest Expenses came in at $108 million in the year ended Dec 31, 2018 (+332.0%), $25 million in the year ended Dec 31, 2017, -$35 million in the year ended Dec 31, 2016 and -$105 million in the year ended Dec 31, 2015.
- The figure for the quarter ended Dec 31, 2021 ranks as the highest quarterly Interest Expenses since the quarter ended Dec 31, 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,290.56 Bn | 1,116.59 Bn | 4.75 Bn | 81.00 Mn |
| 2 | General Motors | 75.92 Bn | -28.69 Bn | 9.28 Bn | 162.00 Mn |
| 3 | Ferrari | 70.49 Bn | 62.98 Bn | 1.18 Bn | 24.66 Mn |
| 4 | Ford Motor | 48.56 Bn | -93.94 Bn | 6.08 Bn | 1.69 Bn |
| 5 | Honda Motor | 45.16 Bn | -104.65 Bn | 8.46 Bn | -459.04 Mn |
| 6 | Toyota Motor | 25.15 Bn | -381.35 Bn | 20.95 Bn | - |
| 7 | Magna International | 17.88 Bn | 11.90 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 17.21 Bn | -4.51 Bn | 176.00 Mn | 74.00 Mn |
| 9 | Stellantis | 13.31 Bn | -148.13 Bn | 3.94 Bn | - |
| 10 | Li Auto | 11.06 Bn | -37.90 Bn | 417.98 Mn | -17.13 Mn |
API Access
Magna International Interest Expenses 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=interest-expenses&ticker=MGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();