Comfort Systems Usa (FIX) Income After Tax (2009 - 2026)
Comfort Systems Usa's Profit After Tax was $489.04 million in Q3 2026, up 67.7% from $291.62 million a year earlier and up 10.7% from the prior quarter.
Comfort Systems Usa (FIX) Income After Tax (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Comfort Systems Usa's Profit After Tax was $546.39 million through Sep 30, 2026, down 34.8% year-over-year; for FY2025, it was -$62.88 million.
- In earlier years, Profit After Tax was $522.43 million in FY2024 (+61.5%), $323.4 million in FY2023 (+31.5%), $245.95 million in FY2022 (+71.6%) and $143.35 million in FY2021 (-4.5%).
- The Q3 2026 figure marks the highest quarterly Profit After Tax in data going back to Q2 2010.
- Compared with a year earlier, Profit After Tax has increased for three straight quarters, with growth averaging 83.5% over the last seven quarters.
- The best year-over-year quarter for Profit After Tax over five years was Q1 2022 (growth of 227.5%); the worst was Q1 2023 (a decline of 34.1%).
- Per Business Quant data, FIX's Profit After Tax in the three quarters before Q3 2026 was $441.6 million (Q2 2026), $370.38 million (Q1 2026) and -$754.64 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 91.50 Bn | 86.14 Bn | 2.38 Bn | 1.07 Bn |
| 2 | Johnson Controls International | 83.63 Bn | 81.11 Bn | 2.71 Bn | 970.00 Mn |
| 3 | Carrier Global | 44.36 Bn | 39.10 Bn | 1.90 Bn | -2.54 Bn |
| 4 | Comfort Systems Usa | 38.92 Bn | 32.88 Bn | 934.48 Mn | 489.04 Mn |
| 5 | Otis Worldwide | 29.51 Bn | 26.06 Bn | 1.16 Bn | 426.00 Mn |
| 6 | Masco | 16.33 Bn | 14.40 Bn | 720.00 Mn | 240.00 Mn |
| 7 | Allegion | 16.19 Bn | 14.81 Bn | 548.20 Mn | 220.90 Mn |
| 8 | James Hardie Industries | 16.17 Bn | 15.36 Bn | 562.40 Mn | 149.80 Mn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn | 207.40 Mn |
| 10 | Madison Air Solutions | 12.50 Bn | 9.16 Bn | 422.70 Mn | 107.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 489.04 Mn |
| Jun 30, 2026 | 441.60 Mn |
| Mar 31, 2026 | 370.38 Mn |
| Dec 31, 2025 | -754.64 Mn |
| Sep 30, 2025 | 291.62 Mn |
| Jun 30, 2025 | 230.85 Mn |
| Mar 31, 2025 | 169.29 Mn |
| Dec 31, 2024 | 145.87 Mn |
| Sep 30, 2024 | 146.24 Mn |
| Jun 30, 2024 | 134.01 Mn |
| Mar 31, 2024 | 96.32 Mn |
| Dec 31, 2023 | 91.58 Mn |
| Sep 30, 2023 | 105.13 Mn |
| Jun 30, 2023 | 69.48 Mn |
| Mar 31, 2023 | 57.22 Mn |
| Dec 31, 2022 | 55.42 Mn |
| Sep 30, 2022 | 61.52 Mn |
| Jun 30, 2022 | 42.25 Mn |
| Mar 31, 2022 | 86.76 Mn |
| Dec 31, 2021 | 37.60 Mn |
Comfort Systems Usa Income After Tax 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=profit-after-tax&ticker=FIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();