Magna International (MGA) Amortization - Intangibles (2021 - 2026)
Magna International (MGA) posted Amortization - Intangibles of $17 million for the quarter ended Jun 30, 2026, down 41.4% from $29 million a year earlier and down 10.5% from the prior quarter.
Magna International (MGA) Amortization - Intangibles (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Magna International was $92 million, down 17.1% year-over-year; for the year ended Dec 31, 2025, it was $111 million, down 0.9% from the prior year.
- Annual Amortization - Intangibles shows a three-year compound annual growth rate of 34.1% (years ended Dec 2022 to Dec 2025).
- In prior years, Magna International's Amortization - Intangibles was $112 million in the year ended Dec 31, 2024 (+27.3%), $88 million in the year ended Dec 31, 2023 (+91.3%) and $46 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Amortization - Intangibles since the quarter ended Jun 30, 2023.
- On a year-over-year basis, Amortization - Intangibles increased in two of the last eight quarters, with an average decline of 11.8%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was the quarter ended Sep 30, 2023, with growth of 190.9%; the weakest was the quarter ended Dec 31, 2022, with a decline of 77.1%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $19 million (quarter ended Mar 31, 2026), $29 million (quarter ended Dec 31, 2025) and $27 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,243.49 Bn | 1,069.52 Bn | 4.75 Bn |
| 2 | Ferrari | 70.66 Bn | 63.15 Bn | 1.18 Bn |
| 3 | General Motors | 67.18 Bn | -37.43 Bn | 9.28 Bn |
| 4 | Ford Motor | 47.64 Bn | -94.85 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.99 Bn | -103.82 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn |
| 7 | Magna International | 17.99 Bn | 12.01 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 16.18 Bn | -7.13 Bn | 179.00 Mn |
| 9 | Stellantis | 12.17 Bn | -152.47 Bn | 5.55 Bn |
| 10 | Li Auto | 11.59 Bn | -37.33 Bn | 417.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.00 Mn |
| Mar 31, 2026 | 19.00 Mn |
| Dec 31, 2025 | 29.00 Mn |
| Sep 30, 2025 | 27.00 Mn |
| Jun 30, 2025 | 29.00 Mn |
| Mar 31, 2025 | 26.00 Mn |
| Dec 31, 2024 | 28.00 Mn |
| Sep 30, 2024 | 28.00 Mn |
| Jun 30, 2024 | 28.00 Mn |
| Mar 31, 2024 | 28.00 Mn |
| Dec 31, 2023 | 31.00 Mn |
| Sep 30, 2023 | 32.00 Mn |
| Jun 30, 2023 | 13.00 Mn |
| Mar 31, 2023 | 12.00 Mn |
| Dec 31, 2022 | 11.00 Mn |
| Sep 30, 2022 | 11.00 Mn |
| Dec 31, 2021 | 48.00 Mn |
Magna International Amortization - Intangibles 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=amortization-intangibles&ticker=MGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();