Smith A O (AOS) Operating Margin (2010 - 2026)
Smith A O's Operating Margin came in at 16.68% for Q2 2026, down 3.67 percentage points from 20.35% a year earlier and down 0.43 percentage points from the prior quarter.
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Analysis
Smith A O (AOS) Operating Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Smith A O reported Operating Margin of 17.57%, down 1.04 percentage points year-over-year; for FY2025, it came in at 19.01%, up 0.69 percentage points from FY2024.
- Operating Margin carries a five-year change of +3.80 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was 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).
- The Q2 2026 figure represents the lowest quarterly Operating Margin since Q1 2022.
- Year-over-year, Operating Margin increased in three of the last eight quarters, with an average year-over-year change of -0.95 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in Q2 2023 (a gain of 3.91 percentage points), and the weakest in Q2 2026 (a drop of 3.67 percentage points).
- Business Quant data shows AOS's Operating Margin at 17.11% (Q1 2026), 17.95% (Q4 2025) and 18.63% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 22.45% |
| 10 | Smith A O | 7.66 Bn | 6.91 Bn | 387.80 Mn | 16.68% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 17.79% |
API Access
Smith A O 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=AOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=AOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();