Smith A O (AOS) Return on Sales [ROS] (2010 - 2026)
Smith A O (AOS) recorded Return on Sales [ROS] of 18.63% in Q3 2026, unchanged from 18.63% a year earlier and up 1.95 percentage points from the prior quarter.
Smith A O (AOS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Smith A O's Return on Sales [ROS] came in at 17.57% as of Sep 30, 2026, down 1.23 percentage points year-over-year; for FY2025, it came in at 19.01%, up 0.69 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +3.80 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 18.31% in FY2024 (-0.86 pp), 19.17% in FY2023 (+1.62 pp), 17.55% in FY2022 (+0.32 pp) and 17.22% in FY2021 (+2.02 pp).
- Quarterly Return on Sales [ROS] has ranged from 16.55% in Q1 2022 to 21.27% in Q2 2023 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 -0.76 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 3.91 percentage points in Q2 2023, against a drop of 3.67 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.68% (Q2 2026), 17.11% (Q1 2026) and 17.95% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 19.87% |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 14.92% |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | -36.29% |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 16.58% |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 15.84% |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 18.44% |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 17.19% |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 24.27% |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 20.04% |
| 10 | Smith A O | 8.74 Bn | 7.93 Bn | 364.70 Mn | 18.63% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.63% |
| Jun 30, 2026 | 16.68% |
| Mar 31, 2026 | 17.11% |
| Dec 31, 2025 | 17.95% |
| Sep 30, 2025 | 18.63% |
| Jun 30, 2025 | 20.35% |
| Mar 31, 2025 | 18.96% |
| Dec 31, 2024 | 17.11% |
| Sep 30, 2024 | 17.80% |
| Jun 30, 2024 | 20.26% |
| Mar 31, 2024 | 19.67% |
| Dec 31, 2023 | 18.70% |
| Sep 30, 2023 | 19.34% |
| Jun 30, 2023 | 21.27% |
| Mar 31, 2023 | 19.34% |
| Dec 31, 2022 | 19.20% |
| Sep 30, 2022 | 17.10% |
| Jun 30, 2022 | 17.36% |
| Mar 31, 2022 | 16.55% |
| Dec 31, 2021 | 17.72% |
Smith A O 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=AOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AOS", "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=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();