Comfort Systems Usa (FIX) Return on Sales [ROS] (2010 - 2026)
Comfort Systems Usa (FIX) reported Return on Sales [ROS] of 17.09% for Q2 2026, up 3.29 percentage points from 13.80% a year earlier and up 0.13 percentage points from the prior quarter.
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Analysis
Comfort Systems Usa (FIX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Comfort Systems Usa's Return on Sales [ROS] came in at 18.79%, up 6.59 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).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- Year over year, Return on Sales [ROS] gained in seven of the last eight quarters, with an average year-over-year change of +2.90 percentage points.
- 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 Q2 2026 came in at 16.95% (Q1 2026), 11.42% (Q4 2025) and 15.46% (Q3 2025).
Peer Set
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 | Lennox International | 12.31 Bn | 12.11 Bn | 539.50 Mn | 22.97% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 7.69% |
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();