Albany International (AIN) Price to Earnings (2010 - 2026)
Albany International's (AIN) Price to Earnings was 19.13 for Q3 2026.
Analysis
Albany International (AIN) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2024, Price to Earnings at Albany International was 28.38, up 2.9% from FY2023.
- By year, Price to Earnings came in at 27.58 in FY2023 (-34.3%), 41.96 in FY2022 (+37.9%), 30.43 in FY2021 (-3.5%) and 31.54 in FY2020 (+29.9%).
- The Q3 2026 figure ranks as the highest quarterly Price to Earnings since Q2 2025.
- The high point for year-over-year Price to Earnings in five years was Q2 2023 (growth of 81.7%); the low point was Q2 2024 (a decline of 47.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Albany International | 1.90 Bn | 1.51 Bn | 140.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.18 |
| Jun 30, 2025 | 33.24 |
| Mar 31, 2025 | 26.84 |
| Dec 31, 2024 | 28.38 |
| Sep 30, 2024 | 27.70 |
| Jun 30, 2024 | 24.07 |
| Mar 31, 2024 | 26.16 |
| Dec 31, 2023 | 27.58 |
| Sep 30, 2023 | 27.25 |
| Jun 30, 2023 | 46.15 |
| Mar 31, 2023 | 38.37 |
| Dec 31, 2022 | 41.96 |
| Sep 30, 2022 | 30.24 |
| Jun 30, 2022 | 25.40 |
| Mar 31, 2022 | 28.97 |
| Dec 31, 2021 | 30.43 |
| Sep 30, 2021 | 26.69 |
| Jun 30, 2021 | 31.34 |
| Mar 31, 2021 | 29.06 |
| Dec 31, 2020 | 31.54 |
API Access
Albany International Price to Earnings 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=price-to-earnings&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();