Comfort Systems Usa (FIX) Tax Provisions (2009 - 2026)
Comfort Systems Usa (FIX) reported Tax Provisions of $146.01 million for Q3 2026, up 85.2% from $78.84 million a year earlier and up 17.1% from the prior quarter.
Comfort Systems Usa (FIX) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Comfort Systems Usa's Tax Provisions came in at $470.11 million, up 110.5% year-over-year; for FY2025, it was $270.9 million, up 88.0% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 45.6% (FY2020 to FY2025).
- By year, Tax Provisions came in at $144.13 million in FY2024 (+122.4%), $64.8 million in FY2023, -$10.09 million in FY2022 and $46.93 million in FY2021 (+13.3%).
- The Q3 2026 figure ranks as the highest quarterly Tax Provisions in data going back to Q2 2010.
- Year over year, Tax Provisions has now increased in each of the last 14 quarters, with growth averaging 100.0% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was Q1 2024 (growth of 210.6%); the low point was Q3 2022 (a decline of 13.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $124.64 million (Q2 2026), $111.77 million (Q1 2026) and $87.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 219.90 Mn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | 93.00 Mn |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 177.00 Mn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 146.01 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 126.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 77.60 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 82.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 46.90 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 62.50 Mn |
| 10 | Madison Air Solutions | 12.59 Bn | 9.25 Bn | 422.70 Mn | 20.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 146.01 Mn |
| Jun 30, 2026 | 124.64 Mn |
| Mar 31, 2026 | 111.77 Mn |
| Dec 31, 2025 | 87.69 Mn |
| Sep 30, 2025 | 78.84 Mn |
| Jun 30, 2025 | 65.64 Mn |
| Mar 31, 2025 | 38.72 Mn |
| Dec 31, 2024 | 40.17 Mn |
| Sep 30, 2024 | 41.58 Mn |
| Jun 30, 2024 | 35.65 Mn |
| Mar 31, 2024 | 26.74 Mn |
| Dec 31, 2023 | 20.15 Mn |
| Sep 30, 2023 | 20.31 Mn |
| Jun 30, 2023 | 15.73 Mn |
| Mar 31, 2023 | 8.61 Mn |
| Dec 31, 2022 | 14.78 Mn |
| Sep 30, 2022 | 12.92 Mn |
| Jun 30, 2022 | 11.27 Mn |
| Mar 31, 2022 | -49.05 Mn |
| Dec 31, 2021 | 13.37 Mn |
Comfort Systems Usa Tax Provisions 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=tax-provisions&ticker=FIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();