Autoliv (ALV) Shares Outstanding (2009 - 2026)
Autoliv's Weighted Average Shares Outstanding came in at 72.6 million for Q3 2026, down 5.0% from 76.4 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Autoliv (ALV) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Autoliv's Weighted Average Shares Outstanding was 76.6 million, down 4.5% from FY2024.
- Weighted Average Shares Outstanding has declined in each of the last four years, with a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 80.2 million in FY2024 (-5.6%), 85 million in FY2023 (-2.4%), 87.1 million in FY2022 (-0.5%) and 87.5 million in FY2021 (+0.2%).
- The Q3 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding in data going back to Q2 2009.
- Year-over-year, Weighted Average Shares Outstanding has declined for 18 consecutive quarters, with an average decline of 4.6% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in Q4 2021 (growth of 0.2%), and the weakest in Q3 2024 (a decline of 6.7%).
- Business Quant data shows ALV's Weighted Average Shares Outstanding at 74.1 million (Q2 2026), 74.8 million (Q1 2026) and 76.6 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | 872.00 Mn |
| 3 | Ferrari | 70.49 Bn | 62.98 Bn | 1.18 Bn | 178.13 Mn |
| 4 | Ford Motor | 48.56 Bn | -93.94 Bn | 6.08 Bn | 3.99 Bn |
| 5 | Honda Motor | 45.16 Bn | -104.65 Bn | 8.46 Bn | 1.33 Bn |
| 6 | Toyota Motor | 25.15 Bn | -381.35 Bn | 20.95 Bn | 1.30 Bn |
| 7 | Magna International | 17.88 Bn | 11.90 Bn | 1.61 Bn | 281.70 Mn |
| 8 | Rivian Automotive | 17.21 Bn | -4.51 Bn | 176.00 Mn | 1.45 Bn |
| 9 | Stellantis | 13.31 Bn | -148.13 Bn | 3.94 Bn | 2.89 Bn |
| 10 | Autoliv | 8.53 Bn | 7.01 Bn | 496.00 Mn | 72.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 72.60 Mn |
| Jun 30, 2026 | 74.10 Mn |
| Mar 31, 2026 | 74.80 Mn |
| Dec 31, 2025 | 76.60 Mn |
| Sep 30, 2025 | 76.40 Mn |
| Jun 30, 2025 | 77.10 Mn |
| Mar 31, 2025 | 77.60 Mn |
| Dec 31, 2024 | 80.20 Mn |
| Sep 30, 2024 | 79.20 Mn |
| Jun 30, 2024 | 80.90 Mn |
| Mar 31, 2024 | 82.30 Mn |
| Dec 31, 2023 | 85.00 Mn |
| Sep 30, 2023 | 84.90 Mn |
| Jun 30, 2023 | 85.60 Mn |
| Mar 31, 2023 | 86.10 Mn |
| Dec 31, 2022 | 87.10 Mn |
| Sep 30, 2022 | 87.00 Mn |
| Jun 30, 2022 | 87.20 Mn |
| Mar 31, 2022 | 87.50 Mn |
| Dec 31, 2021 | 87.50 Mn |
API Access
Autoliv Shares Outstanding 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&ticker=ALV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();