Magna International (MGA) Accumulated Expenses (2009 - 2026)
Magna International (MGA) reported Accumulated Expenses of $995 million for Q3 2026, up 0.1% from $994 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Magna International (MGA) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Magna International posted Accumulated Expenses of $994 million, up 3.3% from FY2024.
- Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $962 million in FY2024 (+5.5%), $912 million in FY2023 (+3.8%), $879 million in FY2022 (-3.6%) and $912 million in FY2021 (+7.2%).
- The Q3 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q1 2009.
- Year over year, Accumulated Expenses has now increased in each of the last 14 quarters, with growth averaging 2.9% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2023 (growth of 12.0%); the low point was Q2 2022 (a decline of 16.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $924 million (Q2 2026), $920 million (Q1 2026) and $994 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,161.86 Bn | 984.09 Bn | 5.49 Bn |
| 2 | General Motors | 76.18 Bn | -28.43 Bn | 9.28 Bn |
| 3 | Ferrari | 74.45 Bn | 66.75 Bn | 1.14 Bn |
| 4 | Ford Motor | 49.98 Bn | -84.44 Bn | 7.38 Bn |
| 5 | Honda Motor | 47.83 Bn | -101.98 Bn | 8.46 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn |
| 7 | Rivian Automotive | 19.37 Bn | -2.35 Bn | 176.00 Mn |
| 8 | Magna International | 17.63 Bn | 11.61 Bn | 1.63 Bn |
| 9 | Stellantis | 12.86 Bn | -148.58 Bn | 3.94 Bn |
| 10 | Li Auto | 12.47 Bn | -36.48 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 995.00 Mn |
| Jun 30, 2026 | 924.00 Mn |
| Mar 31, 2026 | 920.00 Mn |
| Dec 31, 2025 | 994.00 Mn |
| Sep 30, 2025 | 994.00 Mn |
| Jun 30, 2025 | 917.00 Mn |
| Mar 31, 2025 | 893.00 Mn |
| Dec 31, 2024 | 962.00 Mn |
| Sep 30, 2024 | 962.00 Mn |
| Jun 30, 2024 | 862.00 Mn |
| Mar 31, 2024 | 883.00 Mn |
| Dec 31, 2023 | 912.00 Mn |
| Sep 30, 2023 | 900.00 Mn |
| Jun 30, 2023 | 858.00 Mn |
| Mar 31, 2023 | 822.00 Mn |
| Dec 31, 2022 | 879.00 Mn |
| Sep 30, 2022 | 810.00 Mn |
| Jun 30, 2022 | 766.00 Mn |
| Mar 31, 2022 | 879.00 Mn |
| Dec 31, 2021 | 912.00 Mn |
API Access
Magna International Accumulated 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=accumulated-expenses&ticker=MGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();