Albany International (AIN) Return on Sales [ROS] (2010 - 2026)
Albany International (AIN) reported Return on Sales [ROS] of 9.75% for Q2 2026, up 2.60 percentage points from 7.15% a year earlier and up 1.60 percentage points from the prior quarter.
Albany International (AIN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Albany International's Return on Sales [ROS] came in at -2.38%, down 10.82 percentage points year-over-year; for FY2025, it came in at -3.05%, down 13.73 percentage points from FY2024.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -21.49 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] 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 ranks as the highest quarterly Return on Sales [ROS] since Q1 2025.
- Year over year, Return on Sales [ROS] gained in two of the last eight quarters, with an average year-over-year change of -8.74 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2026 (a gain of 2.60 percentage points); the low point was Q3 2025 (a drop of 53.00 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 8.15% (Q1 2026), 9.30% (Q4 2025) and -44.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 345.05 Bn | 303.57 Bn | 5.02 Bn | -47.62% |
| 2 | Rtx | 264.29 Bn | 232.56 Bn | 5.81 Bn | 13.37% |
| 3 | Boeing | 139.11 Bn | 48.07 Bn | 2.17 Bn | 1.46% |
| 4 | Lockheed Martin | 135.12 Bn | 119.35 Bn | 2.44 Bn | 11.80% |
| 5 | General Dynamics | 97.72 Bn | 82.95 Bn | 2.25 Bn | 10.48% |
| 6 | Motorola Solutions | 86.43 Bn | 82.89 Bn | 1.77 Bn | 23.02% |
| 7 | Howmet Aerospace | 86.17 Bn | 81.92 Bn | 1.00 Bn | 28.75% |
| 8 | Northrop Grumman | 76.88 Bn | 64.34 Bn | 2.35 Bn | 11.41% |
| 9 | Honeywell International | 72.44 Bn | 31.95 Bn | 2.02 Bn | 14.82% |
| 10 | Albany International | 2.01 Bn | 1.62 Bn | 140.38 Mn | 16.99% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.99% |
| 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% |
Albany International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();