Albany International (AIN) Operating Margin (2010 - 2026)
Albany International (AIN) recorded Operating Margin of 9.75% in Q2 2026, up 2.60 percentage points from 7.15% a year earlier and up 1.60 percentage points from the prior quarter.
Powered by 
Analysis
Albany International (AIN) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Albany International's Operating Margin came in at -2.38% as of Jun 30, 2026, down 10.82 percentage points year-over-year; for FY2025, it came in at -3.05%, down 13.73 percentage points from FY2024.
- Annual Operating Margin has declined for four straight years, with a five-year change of -21.49 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 10.67% in FY2024 (-3.95 pp), 14.63% in FY2023 (-2.87 pp), 17.49% in FY2022 (-1.66 pp) and 19.16% in FY2021 (+0.72 pp).
- The Q2 2026 figure is the highest quarterly Operating Margin since Q1 2025.
- On a year-over-year basis, Operating Margin rose in two of the last eight quarters, with an average year-over-year change of -8.74 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 2.60 percentage points in Q2 2026, against a drop of 53.00 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.15% (Q1 2026), 9.30% (Q4 2025) and -44.56% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 18.37% |
| 10 | Albany International | 1.69 Bn | 1.28 Bn | 107.90 Mn | 9.75% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.75% |
| Mar 31, 2026 | 8.15% |
| Dec 31, 2025 | 9.30% |
| Sep 30, 2025 | -44.56% |
| Jun 30, 2025 | 7.15% |
| Mar 31, 2025 | 9.79% |
| Dec 31, 2024 | 8.47% |
| Sep 30, 2024 | 8.44% |
| Jun 30, 2024 | 12.92% |
| Mar 31, 2024 | 12.44% |
| Dec 31, 2023 | 12.91% |
| Sep 30, 2023 | 14.25% |
| Jun 30, 2023 | 16.60% |
| Mar 31, 2023 | 15.07% |
| Dec 31, 2022 | 14.10% |
| Sep 30, 2022 | 20.59% |
| Jun 30, 2022 | 19.40% |
| Mar 31, 2022 | 15.87% |
| Dec 31, 2021 | 17.40% |
| Sep 30, 2021 | 19.14% |
API Access
Albany International Operating 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=operating-margin&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();