Autoliv (ALV) Amortization - Intangibles (2009 - 2023)
Autoliv's Amortization - Intangibles came in at $2 million for FY2024, unchanged from $2 million in FY2023.
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Analysis
Autoliv (ALV) Amortization - Intangibles (2009 - 2023) Analysis & Trends
Going back to FY2009, Autoliv's Amortization - Intangibles data covers 16 years.
- Amortization - Intangibles carries a five-year compound annual growth rate of -30.1% (FY2019 to FY2024).
- The five-year range for annual Amortization - Intangibles is $2 million (FY2023) to $10 million (FY2021).
- Per Business Quant, earlier years put Amortization - Intangibles at $2 million in FY2023 (-33.3%), $3 million in FY2022 (-70.0%), $10 million in FY2021 (unchanged) and $10 million in FY2020 (-16.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,307.17 Bn | 1,141.72 Bn | 4.75 Bn |
| 2 | Ferrari | 149.55 Bn | 142.05 Bn | 1.18 Bn |
| 3 | General Motors | 76.35 Bn | -26.55 Bn | 9.28 Bn |
| 4 | Honda Motor | 51.84 Bn | -96.32 Bn | 8.46 Bn |
| 5 | Ford Motor | 49.35 Bn | -85.03 Bn | 7.38 Bn |
| 6 | Toyota Motor | 25.55 Bn | -375.27 Bn | 20.95 Bn |
| 7 | Rivian Automotive | 19.26 Bn | -2.44 Bn | 176.00 Mn |
| 8 | Magna International | 18.36 Bn | 12.66 Bn | 1.63 Bn |
| 9 | Stellantis | 13.71 Bn | -147.20 Bn | 3.94 Bn |
| 10 | Autoliv | 8.84 Bn | 7.33 Bn | 496.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.00 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 2.00 Mn |
| Sep 30, 2021 | 2.00 Mn |
| Jun 30, 2021 | 3.00 Mn |
| Mar 31, 2021 | 3.00 Mn |
| Dec 31, 2020 | 2.00 Mn |
| Sep 30, 2020 | 2.00 Mn |
| Jun 30, 2020 | 2.00 Mn |
| Mar 31, 2020 | 3.00 Mn |
| Dec 31, 2019 | 3.40 Mn |
| Sep 30, 2019 | 2.90 Mn |
| Jun 30, 2019 | 2.90 Mn |
| Mar 31, 2019 | 2.80 Mn |
| Dec 31, 2018 | 2.80 Mn |
| Sep 30, 2018 | 2.80 Mn |
| Jun 30, 2018 | 2.90 Mn |
| Mar 31, 2018 | 2.80 Mn |
API Access
Autoliv 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=ALV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "ALV", "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=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();