Armstrong World Industries (AWI) Return on Sales [ROS] (2010 - 2026)
Armstrong World Industries (AWI) recorded Return on Sales [ROS] of 28.35% in Q2 2026, down 0.67 percentage points from 29.02% a year earlier but up 5.37 percentage points from the prior quarter.
Armstrong World Industries (AWI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Armstrong World Industries' Return on Sales [ROS] came in at 25.79% as of Jun 30, 2026, down 0.78 percentage points year-over-year; for FY2025, it was 26.59%, up 0.70 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, though with a five-year change of -0.61 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 25.89% in FY2024 (+0.90 pp), 24.99% in FY2023 (+2.39 pp), 22.60% in FY2022 (-0.89 pp) and 23.50% in FY2021 (-3.70 pp).
- Quarterly Return on Sales [ROS] has ranged from 19.65% in Q4 2021 to 29.02% in Q2 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of +0.01 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 6.30 percentage points in Q3 2023, against a drop of 5.66 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 22.98% (Q1 2026), 23.69% (Q4 2025) and 27.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 22.45% |
| 10 | Armstrong World Industries | 6.91 Bn | 6.55 Bn | 195.00 Mn | 28.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.35% |
| Mar 31, 2026 | 22.98% |
| Dec 31, 2025 | 23.69% |
| Sep 30, 2025 | 27.56% |
| Jun 30, 2025 | 29.02% |
| Mar 31, 2025 | 25.74% |
| Dec 31, 2024 | 22.27% |
| Sep 30, 2024 | 28.79% |
| Jun 30, 2024 | 26.02% |
| Mar 31, 2024 | 26.39% |
| Dec 31, 2023 | 21.23% |
| Sep 30, 2023 | 28.85% |
| Jun 30, 2023 | 26.74% |
| Mar 31, 2023 | 22.63% |
| Dec 31, 2022 | 23.19% |
| Sep 30, 2022 | 22.55% |
| Jun 30, 2022 | 22.31% |
| Mar 31, 2022 | 22.36% |
| Dec 31, 2021 | 19.65% |
| Sep 30, 2021 | 24.67% |
Armstrong World Industries 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=AWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AWI", "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=AWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();