Comfort Systems Usa (FIX) Operating Margin (2010 - 2026)
Comfort Systems Usa (FIX) posted Operating Margin 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.
Comfort Systems Usa (FIX) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Margin at Comfort Systems Usa was 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.
- Annual Operating Margin has increased for three consecutive years, with a five-year change of +4.74 percentage points (FY2020 to FY2025).
- In prior years, Comfort Systems Usa's Operating Margin was 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).
- Quarterly Operating Margin has run from a low of 4.03% in Q1 2022 to a high of 17.09% in Q2 2026 over five years.
- On a year-over-year basis, Operating Margin has increased in each of the last three quarters, with an average year-over-year change of +3.38 percentage points over the last seven quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q1 2026, with a gain of 5.53 percentage points; the weakest was Q1 2022, with a drop of 1.28 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (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 | Lennox International | 11.75 Bn | 11.57 Bn | 497.20 Mn | 19.85% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.58% |
| Jun 30, 2026 | 17.09% |
| Mar 31, 2026 | 16.95% |
| 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% |
Comfort Systems Usa 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=FIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();