Comfort Systems Usa (FIX) Return on Sales [ROS] (2009 - 2026)
Comfort Systems Usa (FIX) reported Return on Sales [ROS] of 16.58% for Q3 2026, up 1.12 percentage points from 15.46% a year earlier but down 0.50 percentage points from the prior quarter.
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Analysis
Comfort Systems Usa (FIX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Comfort Systems Usa's Return on Sales [ROS] came in at 18.77%, up 5.38 percentage points year-over-year; for FY2025, it came in at 11.42%, up 0.75 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +4.74 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 10.66% in FY2024 (+2.63 pp), 8.04% in FY2023 (+1.90 pp), 6.13% in FY2022 (unchanged) and 6.13% in FY2021 (-0.54 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 4.03% in Q1 2022 and a high of 17.09% in Q2 2026.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +2.87 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2026 (a gain of 5.53 percentage points); the low point was Q1 2022 (a drop of 1.28 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 17.09% (Q2 2026), 16.95% (Q1 2026) and 11.42% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 91.50 Bn | 86.14 Bn | 2.38 Bn | 19.87% |
| 2 | Johnson Controls International | 83.63 Bn | 81.11 Bn | 2.71 Bn | 15.98% |
| 3 | Carrier Global | 44.36 Bn | 39.10 Bn | 1.90 Bn | -36.29% |
| 4 | Comfort Systems Usa | 38.92 Bn | 32.88 Bn | 934.48 Mn | 16.58% |
| 5 | Otis Worldwide | 29.51 Bn | 26.06 Bn | 1.16 Bn | 15.84% |
| 6 | Masco | 16.33 Bn | 14.40 Bn | 720.00 Mn | 17.19% |
| 7 | Allegion | 16.19 Bn | 14.81 Bn | 548.20 Mn | 24.27% |
| 8 | James Hardie Industries | 16.17 Bn | 15.36 Bn | 562.40 Mn | 18.44% |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn | 20.04% |
| 10 | Madison Air Solutions | 12.50 Bn | 9.16 Bn | 422.70 Mn | 19.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.58% |
| Jun 30, 2026 | 17.09% |
| Mar 31, 2026 | 16.95% |
| Dec 31, 2025 | 11.42% |
| Sep 30, 2025 | 15.46% |
| Jun 30, 2025 | 13.80% |
| Mar 31, 2025 | 11.42% |
| Dec 31, 2024 | 12.12% |
| Sep 30, 2024 | 11.19% |
| Jun 30, 2024 | 10.20% |
| Mar 31, 2024 | 8.81% |
| Dec 31, 2023 | 8.86% |
| Sep 30, 2023 | 9.81% |
| Jun 30, 2023 | 7.10% |
| Mar 31, 2023 | 6.03% |
| Dec 31, 2022 | 7.17% |
| Sep 30, 2022 | 7.27% |
| Jun 30, 2022 | 5.57% |
| Mar 31, 2022 | 4.03% |
| Dec 31, 2021 | 5.76% |
API Access
Comfort Systems Usa 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=FIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FIX", "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=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();