Autoliv (ALV) Current Taxes (2009 - 2025)
Autoliv's Current Taxes came in at $133 million for Q4 2025, up 10.8% from $120 million a year earlier.
Analysis
Autoliv (ALV) Current Taxes (2009 - 2025) Analysis & Trends
Going back to Q4 2009, Autoliv's Current Taxes data covers 17 quarters.
- Current Taxes carries a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- Going back by year, Current Taxes was $120 million in FY2024 (-1.6%), $122 million in FY2023 (+62.7%), $75 million in FY2022 (-7.4%) and $81 million in FY2021 (-16.5%).
- The Q4 2025 figure represents the highest quarterly Current Taxes in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (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 | 3.19 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 97.89 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 895.47 Mn |
| 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 | 121.00 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 1.08 Bn |
| 10 | Autoliv | 8.20 Bn | 6.66 Bn | 509.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 133.00 Mn |
| Dec 31, 2024 | 120.00 Mn |
| Dec 31, 2023 | 122.00 Mn |
| Dec 31, 2022 | 75.00 Mn |
| Dec 31, 2021 | 81.00 Mn |
| Dec 31, 2020 | 97.00 Mn |
| Dec 31, 2019 | 38.80 Mn |
| Dec 31, 2018 | 64.90 Mn |
| Dec 31, 2017 | 81.90 Mn |
| Dec 31, 2016 | 81.60 Mn |
| Dec 31, 2015 | 71.10 Mn |
| Dec 31, 2014 | 69.10 Mn |
| Dec 31, 2013 | 74.80 Mn |
| Dec 31, 2012 | 53.90 Mn |
| Dec 31, 2011 | 63.80 Mn |
| Dec 31, 2010 | 91.80 Mn |
| Dec 31, 2009 | 50.20 Mn |
API Access
Autoliv Current Taxes 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=current-taxes&ticker=ALV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();