Comfort Systems Usa (FIX) Operating Expenses (2010 - 2026)
Comfort Systems Usa's Operating Expenses came in at $287.05 million for Q2 2026, up 36.4% from $210.47 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Comfort Systems Usa (FIX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Comfort Systems Usa reported Operating Expenses of $345.58 million, down 56.4% year-over-year; for FY2025, it was $194.87 million, down 73.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $730.07 million in FY2024 (+27.1%), $574.42 million in FY2023 (+17.4%), $489.34 million in FY2022 (+30.0%) and $376.31 million in FY2021 (+5.2%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 4.8% (Q3 2021) to 38.0% (Q1 2026).
- Business Quant data shows FIX's Operating Expenses at $269 million (Q1 2026), -$440.05 million (Q4 2025) and $229.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Lennox International | 12.73 Bn | 12.54 Bn | 539.50 Mn | 183.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 287.05 Mn |
| Mar 31, 2026 | 269.00 Mn |
| Dec 31, 2025 | -440.05 Mn |
| Sep 30, 2025 | 229.58 Mn |
| Jun 30, 2025 | 210.47 Mn |
| Mar 31, 2025 | 194.87 Mn |
| Dec 31, 2024 | 207.64 Mn |
| Sep 30, 2024 | 180.18 Mn |
| Jun 30, 2024 | 179.54 Mn |
| Mar 31, 2024 | 162.72 Mn |
| Dec 31, 2023 | 160.03 Mn |
| Sep 30, 2023 | 142.94 Mn |
| Jun 30, 2023 | 136.43 Mn |
| Mar 31, 2023 | 135.03 Mn |
| Dec 31, 2022 | 131.65 Mn |
| Sep 30, 2022 | 121.19 Mn |
| Jun 30, 2022 | 118.72 Mn |
| Mar 31, 2022 | 117.78 Mn |
| Dec 31, 2021 | 105.26 Mn |
| Sep 30, 2021 | 95.29 Mn |
API Access
Comfort Systems Usa Operating Expenses 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-expenses&ticker=FIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();