Magna International (MGA) Debt Ratio (2009 - 2026)
Magna International's (MGA) Debt Ratio was 0.15 for Q1 2026, up 1.1% from the prior quarter.
Analysis
Magna International (MGA) Debt Ratio (2009 - 2026) Analysis & Trends
Dating back to Q4 2009, Magna International's Debt Ratio record includes 20 quarters.
- By year, Debt Ratio came in at 0.16 in FY2024 (-3.5%), 0.17 in FY2023 (+35.2%), 0.13 in FY2022 (-8.0%) and 0.14 in FY2021 (-8.5%).
- The Q1 2026 figure ranks as the highest quarterly Debt Ratio since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 0.06 |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 0.45 |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | 0.30 |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 0.56 |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | 0.43 |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | 0.28 |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | 0.15 |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | 0.24 |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | 0.13 |
| 10 | Xpeng | 9.67 Bn | -1.28 Bn | - | 0.18 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.15 |
| Dec 31, 2025 | 0.15 |
| Dec 31, 2024 | 0.16 |
| Dec 31, 2023 | 0.17 |
| Dec 31, 2022 | 0.13 |
| Dec 31, 2021 | 0.14 |
| Dec 31, 2020 | 0.15 |
| Dec 31, 2019 | 0.12 |
| Dec 31, 2018 | 0.17 |
| Dec 31, 2017 | 0.14 |
| Dec 31, 2016 | 0.14 |
| Dec 31, 2015 | 0.13 |
| Dec 31, 2014 | 0.06 |
| Dec 31, 2013 | 0.02 |
| Dec 31, 2012 | 0.03 |
| Jun 30, 2012 | 0.02 |
| Dec 31, 2011 | 0.02 |
| Jun 30, 2011 | 0.01 |
| Dec 31, 2010 | 0.01 |
| Dec 31, 2009 | 0.01 |
API Access
Magna International Debt Ratio 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=debt-ratio&ticker=MGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();