Albany International (AIN) Shares Outstanding (2009 - 2026)
Albany International (AIN) posted Shares Outstanding of 28.36 million for Q2 2026, down 5.2% from 29.93 million a year earlier but up 0.1% from the prior quarter.
Albany International (AIN) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Albany International's Shares Outstanding came in at 29.57 million, down 5.3% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In prior years, Albany International's Shares Outstanding was 31.23 million in FY2024 (+0.2%), 31.17 million in FY2023 (-0.5%), 31.34 million in FY2022 (-3.1%) and 32.35 million in FY2021 (+0.1%).
- Quarterly Shares Outstanding has run from a low of 28.32 million in Q1 2026 to a high of 32.38 million in Q3 2021 over five years.
- On a year-over-year basis, Shares Outstanding has declined in each of the last six quarters, with an average decline of 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q1 2024, with growth of 0.3%; the weakest was Q1 2026, with a decline of 8.1%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 28.32 million (Q1 2026), 29.57 million (Q4 2025) and 29.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.04 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.35 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 790.80 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 230.20 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 400.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 270.16 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 165.80 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 142.10 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 317.10 Mn |
| 10 | Albany International | 1.69 Bn | 1.28 Bn | 107.90 Mn | 28.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.36 Mn |
| Mar 31, 2026 | 28.32 Mn |
| Dec 31, 2025 | 29.57 Mn |
| Sep 30, 2025 | 29.01 Mn |
| Jun 30, 2025 | 29.93 Mn |
| Mar 31, 2025 | 30.82 Mn |
| Dec 31, 2024 | 31.23 Mn |
| Sep 30, 2024 | 31.25 Mn |
| Jun 30, 2024 | 31.24 Mn |
| Mar 31, 2024 | 31.21 Mn |
| Dec 31, 2023 | 31.17 Mn |
| Sep 30, 2023 | 31.19 Mn |
| Jun 30, 2023 | 31.17 Mn |
| Mar 31, 2023 | 31.13 Mn |
| Dec 31, 2022 | 31.34 Mn |
| Sep 30, 2022 | 31.11 Mn |
| Jun 30, 2022 | 31.27 Mn |
| Mar 31, 2022 | 31.88 Mn |
| Dec 31, 2021 | 32.35 Mn |
| Sep 30, 2021 | 32.38 Mn |
Albany International 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=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "AIN", "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=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();