Albany International (AIN) Enterprise Value (2009 - 2026)
Albany International's Enterprise Value was $2.04 billion in Q2 2026, up 3.9% from $1.97 billion a year earlier and up 49.7% from the prior quarter.
Albany International (AIN) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Albany International's Enterprise Value was $1.7 billion through Jun 30, 2026, up 6.0% year-over-year; for FY2025, it came in at $1.33 billion, down 44.1% from FY2024.
- Enterprise Value has now declined for three consecutive years, with a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $2.38 billion in FY2024 (-17.9%), $2.9 billion in FY2023 (-22.4%), $3.73 billion in FY2022 (+12.8%) and $3.31 billion in FY2021 (+15.1%).
- The Q2 2026 figure marks the highest quarterly Enterprise Value since Q4 2024.
- Compared with a year earlier, Enterprise Value was higher in two of the last eight quarters, with an average decline of 22.7%.
- The best year-over-year quarter for Enterprise Value over five years was Q3 2021 (growth of 105.3%); the worst was Q3 2025 (a decline of 46.3%).
- Per Business Quant data, AIN's Enterprise Value in the three quarters before Q2 2026 was $1.37 billion (Q1 2026), $1.33 billion (Q4 2025) and $1.43 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.04 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 1.43 Bn |
| Jun 30, 2025 | 1.97 Bn |
| Mar 31, 2025 | 1.97 Bn |
| Dec 31, 2024 | 2.38 Bn |
| Sep 30, 2024 | 2.66 Bn |
| Jun 30, 2024 | 2.52 Bn |
| Mar 31, 2024 | 2.80 Bn |
| Dec 31, 2023 | 2.90 Bn |
| Sep 30, 2023 | 2.53 Bn |
| Jun 30, 2023 | 3.51 Bn |
| Mar 31, 2023 | 3.34 Bn |
| Dec 31, 2022 | 3.73 Bn |
| Sep 30, 2022 | 2.94 Bn |
| Jun 30, 2022 | 2.89 Bn |
| Mar 31, 2022 | 3.13 Bn |
| Dec 31, 2021 | 3.31 Bn |
| Sep 30, 2021 | 2.85 Bn |
Albany International Enterprise Value 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=enterprise-value&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();