Autoliv (ALV) Shares Outstanding (Entity) (2009 - 2026)
Autoliv (ALV) reported Shares Outstanding (Entity) of 72.01 million for Q3 2026, down 5.2% from 75.97 million a year earlier and down 1.7% from the prior quarter.
Autoliv (ALV) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Autoliv posted Shares Outstanding (Entity) of 74.71 million, down 3.9% from FY2024.
- Shares Outstanding (Entity) has declined for four consecutive years, with a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 77.71 million in FY2024 (-6.0%), 82.64 million in FY2023 (-4.1%), 86.19 million in FY2022 (-1.5%) and 87.48 million in FY2021 (+0.1%).
- The Q3 2026 figure ranks as the lowest quarterly Shares Outstanding (Entity) in data going back to Q2 2009.
- Year over year, Shares Outstanding (Entity) has now declined in each of the last 19 quarters, with an average decline of 4.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q4 2021 (growth of 0.1%); the low point was Q3 2024 (a decline of 6.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 73.24 million (Q2 2026), 74.86 million (Q1 2026) and 74.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,290.56 Bn | 1,116.59 Bn | 4.75 Bn | 3.24 Bn |
| 2 | General Motors | 75.92 Bn | -28.69 Bn | 9.28 Bn | 849.00 Mn |
| 3 | Ferrari | 70.49 Bn | 62.98 Bn | 1.18 Bn | - |
| 4 | Ford Motor | 48.56 Bn | -93.94 Bn | 6.08 Bn | 3.92 Bn |
| 5 | Honda Motor | 45.16 Bn | -104.65 Bn | 8.46 Bn | - |
| 6 | Toyota Motor | 25.15 Bn | -381.35 Bn | 20.95 Bn | - |
| 7 | Magna International | 17.88 Bn | 11.90 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 17.21 Bn | -4.51 Bn | 176.00 Mn | 1.46 Bn |
| 9 | Stellantis | 13.31 Bn | -148.13 Bn | 3.94 Bn | - |
| 10 | Autoliv | 8.53 Bn | 7.01 Bn | 496.00 Mn | 72.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 72.01 Mn |
| Jun 30, 2026 | 73.24 Mn |
| Mar 31, 2026 | 74.86 Mn |
| Dec 31, 2025 | 74.71 Mn |
| Sep 30, 2025 | 75.97 Mn |
| Jun 30, 2025 | 76.81 Mn |
| Mar 31, 2025 | 77.31 Mn |
| Dec 31, 2024 | 77.71 Mn |
| Sep 30, 2024 | 78.75 Mn |
| Jun 30, 2024 | 80.08 Mn |
| Mar 31, 2024 | 81.37 Mn |
| Dec 31, 2023 | 82.64 Mn |
| Sep 30, 2023 | 84.15 Mn |
| Jun 30, 2023 | 85.38 Mn |
| Mar 31, 2023 | 85.83 Mn |
| Dec 31, 2022 | 86.19 Mn |
| Sep 30, 2022 | 86.84 Mn |
| Jun 30, 2022 | 87.09 Mn |
| Mar 31, 2022 | 87.34 Mn |
| Dec 31, 2021 | 87.48 Mn |
Autoliv Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=ALV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();