Albany International (AIN) EBITDA Margin (2010 - 2026)
Albany International (AIN) recorded EBITDA Margin of 14.92% in Q2 2026, up 0.78 percentage points from 14.14% a year earlier and up 1.27 percentage points from the prior quarter.
Albany International (AIN) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Albany International's EBITDA Margin came in at 4.08% as of Jun 30, 2026, down 11.76 percentage points year-over-year; for FY2025, it was 4.38%, down 13.55 percentage points from FY2024.
- Annual EBITDA Margin has declined for four straight years, with a five-year change of -22.13 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 17.93% in FY2024 (-3.38 pp), 21.31% in FY2023 (-2.85 pp), 24.17% in FY2022 (-2.98 pp) and 27.15% in FY2021 (+0.63 pp).
- Quarterly EBITDA Margin has ranged from -35.98% in Q3 2025 to 27.13% in Q3 2022 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in two of the last eight quarters, with an average year-over-year change of -8.90 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 1.75 percentage points in Q4 2021, against a drop of 51.89 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 13.65% (Q1 2026), 16.28% (Q4 2025) and -35.98% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -43.99% |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 15.74% |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 3.06% |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 14.35% |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 31.21% |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 11.91% |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 30.55% |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 13.45% |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 21.58% |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn | 14.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.92% |
| Mar 31, 2026 | 13.65% |
| Dec 31, 2025 | 16.28% |
| Sep 30, 2025 | -35.98% |
| Jun 30, 2025 | 14.14% |
| Mar 31, 2025 | 17.16% |
| Dec 31, 2024 | 16.26% |
| Sep 30, 2024 | 15.91% |
| Jun 30, 2024 | 19.67% |
| Mar 31, 2024 | 19.56% |
| Dec 31, 2023 | 19.70% |
| Sep 30, 2023 | 21.18% |
| Jun 30, 2023 | 23.15% |
| Mar 31, 2023 | 21.52% |
| Dec 31, 2022 | 20.49% |
| Sep 30, 2022 | 27.13% |
| Jun 30, 2022 | 25.95% |
| Mar 31, 2022 | 23.15% |
| Dec 31, 2021 | 25.28% |
| Sep 30, 2021 | 26.97% |
Albany International EBITDA Margin 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-margin&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();