Autoliv (ALV) Land & Improvements (2010 - 2025)
Autoliv's Land & Improvements was $131 million in Q4 2025, up 3.1% from $127 million a year earlier.
Analysis
Autoliv (ALV) Land & Improvements (2010 - 2025) Analysis & Trends
From Q4 2010 onward, Autoliv has reported Land & Improvements for 16 quarters.
- Land & Improvements shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In earlier years, Land & Improvements was $127 million in FY2024 (-6.6%), $136 million in FY2023 (+8.8%), $125 million in FY2022 (-15.0%) and $147 million in FY2021 (+21.5%).
- The Q4 2025 figure marks the highest quarterly Land & Improvements since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,111.16 Bn | 933.39 Bn | 5.49 Bn | - |
| 2 | General Motors | 78.11 Bn | -26.51 Bn | 9.28 Bn | - |
| 3 | Ferrari | 74.66 Bn | 66.96 Bn | 1.14 Bn | - |
| 4 | Ford Motor | 49.92 Bn | -84.50 Bn | 7.38 Bn | - |
| 5 | Honda Motor | 48.46 Bn | -101.35 Bn | 8.46 Bn | - |
| 6 | Toyota Motor | 28.30 Bn | -378.20 Bn | 20.95 Bn | 8.42 Bn |
| 7 | Rivian Automotive | 18.64 Bn | -3.09 Bn | 176.00 Mn | - |
| 8 | Magna International | 17.97 Bn | 11.95 Bn | 1.63 Bn | - |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | - |
| 10 | Autoliv | 9.01 Bn | 7.49 Bn | 496.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 131.00 Mn |
| Dec 31, 2024 | 127.00 Mn |
| Dec 31, 2023 | 136.00 Mn |
| Dec 31, 2022 | 125.00 Mn |
| Dec 31, 2021 | 147.00 Mn |
| Dec 31, 2020 | 121.00 Mn |
| Dec 31, 2019 | 114.30 Mn |
| Dec 31, 2018 | 114.70 Mn |
| Dec 31, 2017 | 113.40 Mn |
| Dec 31, 2016 | 122.40 Mn |
| Dec 31, 2015 | 106.60 Mn |
| Dec 31, 2014 | 106.00 Mn |
| Dec 31, 2013 | 114.80 Mn |
| Dec 31, 2012 | 119.30 Mn |
| Dec 31, 2011 | 118.50 Mn |
| Dec 31, 2010 | 107.60 Mn |
API Access
Autoliv Land & Improvements 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=land-and-improvements&ticker=ALV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();