Autoliv (ALV) Buildings (2010 - 2025)
Autoliv (ALV) recorded Buildings of $1.17 billion in Q4 2025, up 13.1% from $1.04 billion a year earlier.
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Analysis
Autoliv (ALV) Buildings (2010 - 2025) Analysis & Trends
Starting with Q4 2010, Autoliv's Buildings history includes 16 quarters.
- Annual Buildings has a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier years, Buildings came in at $1.04 billion in FY2024 (-2.5%), $1.07 billion in FY2023 (+11.3%), $957 million in FY2022 (unchanged) and $957 million in FY2021 (-0.5%).
- The Q4 2025 figure is the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Autoliv | 8.20 Bn | 6.66 Bn | 509.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.07 Bn |
| Dec 31, 2022 | 957.00 Mn |
| Dec 31, 2021 | 957.00 Mn |
| Dec 31, 2020 | 962.00 Mn |
| Dec 31, 2019 | 888.20 Mn |
| Dec 31, 2018 | 822.90 Mn |
| Dec 31, 2017 | 816.20 Mn |
| Dec 31, 2016 | 792.40 Mn |
| Dec 31, 2015 | 765.90 Mn |
| Dec 31, 2014 | 813.20 Mn |
| Dec 31, 2013 | 801.10 Mn |
| Dec 31, 2012 | 764.30 Mn |
| Dec 31, 2011 | 739.00 Mn |
| Dec 31, 2010 | 718.00 Mn |
API Access
Autoliv Buildings 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=buildings&ticker=ALV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();