Autoliv (ALV) Sales of Property, Plant and Equipment (2009 - 2026)
Autoliv's Sales of Property, Plant and Equipment was $1 million in Q1 2026, down 87.5% from $8 million a year earlier and down 87.5% from the prior quarter.
Autoliv (ALV) Sales of Property, Plant and Equipment (2009 - 2026) Analysis & Trends
For FY2025, Sales of Property, Plant and Equipment at Autoliv came in at $18 million, up 5.9% from FY2024.
- Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 35.1% (FY2020 to FY2025).
- In earlier years, Sales of Property, Plant and Equipment was $17 million in FY2024 (+325.0%), $4 million in FY2023 (-96.0%), $101 million in FY2022 and $4 million in FY2021 (unchanged).
- Quarterly Sales of Property, Plant and Equipment has moved between $1 million (Q4 2021) and $95 million (Q1 2022) over five years.
- Compared with a year earlier, Sales of Property, Plant and Equipment was higher in two of the last six quarters, with growth averaging 115.3%.
- The best year-over-year quarter for Sales of Property, Plant and Equipment over five years was Q2 2024 (growth of 700.0%); the worst was Q2 2025 (a decline of 87.5%).
- Per Business Quant data, ALV's Sales of Property, Plant and Equipment in the three quarters before Q1 2026 was $8 million (Q4 2025), $1 million (Q3 2025) and $1 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | - |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 2.58 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 157.41 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 51.43 Mn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 3.03 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | - |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 9.00 Mn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 6.97 Mn |
| 10 | Autoliv | 8.19 Bn | 6.66 Bn | 509.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 8.00 Mn |
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 8.00 Mn |
| Dec 31, 2024 | 8.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 8.00 Mn |
| Dec 31, 2023 | 3.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | 95.00 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Sep 30, 2021 | 2.00 Mn |
| Mar 31, 2021 | 1.00 Mn |
| Dec 31, 2020 | 1.00 Mn |
| Sep 30, 2020 | 1.00 Mn |
| Jun 30, 2020 | 1.00 Mn |
| Mar 31, 2020 | 1.00 Mn |
Autoliv Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=ALV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();