Magna International (MGA) Cash & Equivalents (2009 - 2026)
Magna International (MGA) reported Cash & Equivalents of $1.43 billion for the quarter ended Jun 30, 2026, down 6.9% from $1.54 billion a year earlier and down 10.9% from the prior quarter.
Magna International (MGA) Cash & Equivalents (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Magna International posted Cash & Equivalents of -$1.61 billion.
- By year, Cash & Equivalents came in at -$1.52 billion in the year ended Dec 31, 2024, -$2.43 billion in the year ended Dec 31, 2023, -$2 billion in the year ended Dec 31, 2022 and -$3.46 billion in the year ended Dec 31, 2021.
- Five-year quarterly Cash & Equivalents spans a low of -$3.46 billion in the quarter ended Dec 31, 2021 and a high of $3.43 billion in the quarter ended Sep 30, 2021.
- Year over year, Cash & Equivalents gained in four of the last six quarters, with growth averaging 16.2%.
- The high point for year-over-year Cash & Equivalents in five years was the quarter ended Sep 30, 2021 (growth of 128.7%); the low point was the quarter ended Sep 30, 2022 (a decline of 67.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.61 billion (quarter ended Mar 31, 2026), -$1.61 billion (quarter ended Dec 31, 2025) and $1.33 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 15.22 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 20.13 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 1.70 Bn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 18.60 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 32.71 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 63.88 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | 1.43 Bn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | 3.59 Bn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 38.49 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | 5.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Bn |
| Mar 31, 2026 | 1.61 Bn |
| Dec 31, 2025 | -1.61 Bn |
| Sep 30, 2025 | 1.33 Bn |
| Jun 30, 2025 | 1.54 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | -1.52 Bn |
| Sep 30, 2024 | 1.06 Bn |
| Jun 30, 2024 | 999.00 Mn |
| Mar 31, 2024 | 1.52 Bn |
| Dec 31, 2023 | -2.43 Bn |
| Sep 30, 2023 | 1.02 Bn |
| Jun 30, 2023 | 1.28 Bn |
| Mar 31, 2023 | 2.43 Bn |
| Dec 31, 2022 | -2.00 Bn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 1.66 Bn |
| Mar 31, 2022 | 2.00 Bn |
| Dec 31, 2021 | -3.46 Bn |
| Sep 30, 2021 | 2.75 Bn |
Magna International Cash & Equivalents 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=cash-and-equivalents&ticker=MGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();