Albany International (AIN) EBITDA (2010 - 2026)
Albany International's EBITDA came in at $49.16 million for Q2 2026, up 11.7% from $44.02 million a year earlier and up 15.7% from the prior quarter.
Powered by 
Analysis
Albany International (AIN) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Albany International reported EBITDA of $49.89 million, down 73.4% year-over-year; for FY2025, it was $51.81 million, down 76.5% from FY2024.
- EBITDA has declined in each of the last four years, with a five-year compound annual growth rate of -26.3% (FY2020 to FY2025).
- Going back by year, EBITDA was $220.7 million in FY2024 (-9.8%), $244.65 million in FY2023 (-2.2%), $250.09 million in FY2022 (-0.9%) and $252.27 million in FY2021 (+5.6%).
- The five-year range for quarterly EBITDA is -$94.07 million (Q3 2025) to $70.68 million (Q3 2022).
- Year-over-year, EBITDA increased in two of the last seven quarters, with an average decline of 12.7%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2023 (growth of 15.8%), and the weakest in Q2 2025 (a decline of 32.6%).
- Business Quant data shows AIN's EBITDA at $42.5 million (Q1 2026), $52.31 million (Q4 2025) and -$94.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn | 49.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.16 Mn |
| Mar 31, 2026 | 42.50 Mn |
| Dec 31, 2025 | 52.31 Mn |
| Sep 30, 2025 | -94.07 Mn |
| Jun 30, 2025 | 44.02 Mn |
| Mar 31, 2025 | 49.55 Mn |
| Dec 31, 2024 | 46.65 Mn |
| Sep 30, 2024 | 47.48 Mn |
| Jun 30, 2024 | 65.29 Mn |
| Mar 31, 2024 | 61.28 Mn |
| Dec 31, 2023 | 63.76 Mn |
| Sep 30, 2023 | 59.53 Mn |
| Jun 30, 2023 | 63.45 Mn |
| Mar 31, 2023 | 57.91 Mn |
| Dec 31, 2022 | 55.07 Mn |
| Sep 30, 2022 | 70.68 Mn |
| Jun 30, 2022 | 67.83 Mn |
| Mar 31, 2022 | 56.52 Mn |
| Dec 31, 2021 | 60.65 Mn |
| Sep 30, 2021 | 62.70 Mn |
API Access
Albany International EBITDA 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=ebitda&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();