Comfort Systems Usa (FIX) EBITDA (2009 - 2026)
Comfort Systems Usa's EBITDA came in at $672.34 million for Q3 2026, up 62.1% from $414.89 million a year earlier and up 11.8% from the prior quarter.
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Analysis
Comfort Systems Usa (FIX) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Comfort Systems Usa reported EBITDA of $1.05 billion, down 16.3% year-over-year; for FY2025, it came in at $292.63 million, down 67.3% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $895.56 million in FY2024 (+78.9%), $500.68 million in FY2023 (+49.0%), $336.04 million in FY2022 (+30.3%) and $257.88 million in FY2021 (+2.4%).
- The Q3 2026 figure represents the highest quarterly EBITDA in data going back to Q2 2010.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 72.4% over the last seven quarters.
- Across the past five years, year-over-year growth in EBITDA ran from 8.7% in Q4 2021 to 115.7% in Q1 2026.
- Business Quant data shows FIX's EBITDA at $601.51 million (Q2 2026), $524.91 million (Q1 2026) and -$748.74 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 1.45 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | -1.95 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 672.34 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 661.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 425.90 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | - |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 320.70 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 342.00 Mn |
| 10 | Madison Air Solutions | 12.59 Bn | 9.25 Bn | 422.70 Mn | 267.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 672.34 Mn |
| Jun 30, 2026 | 601.51 Mn |
| Mar 31, 2026 | 524.91 Mn |
| Dec 31, 2025 | -748.74 Mn |
| Sep 30, 2025 | 414.89 Mn |
| Jun 30, 2025 | 334.69 Mn |
| Mar 31, 2025 | 243.39 Mn |
| Dec 31, 2024 | 261.45 Mn |
| Sep 30, 2024 | 239.81 Mn |
| Jun 30, 2024 | 223.52 Mn |
| Mar 31, 2024 | 170.80 Mn |
| Dec 31, 2023 | 142.03 Mn |
| Sep 30, 2023 | 155.70 Mn |
| Jun 30, 2023 | 112.34 Mn |
| Mar 31, 2023 | 90.57 Mn |
| Dec 31, 2022 | 100.35 Mn |
| Sep 30, 2022 | 101.40 Mn |
| Jun 30, 2022 | 77.58 Mn |
| Mar 31, 2022 | 56.66 Mn |
| Dec 31, 2021 | 68.41 Mn |
API Access
Comfort Systems Usa EBITDA 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=ebitda&ticker=FIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();