Comfort Systems Usa (FIX) Cash & Equivalents (2010 - 2026)
Comfort Systems Usa (FIX) posted Cash & Equivalents of $1.85 billion for Q2 2026, up 459.2% from $331.71 million a year earlier and up 76.6% from the prior quarter.
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Analysis
Comfort Systems Usa (FIX) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Comfort Systems Usa's Cash & Equivalents came in at $981.9 million, up 78.5% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 78.0% (FY2020 to FY2025).
- In prior years, Comfort Systems Usa's Cash & Equivalents was $549.94 million in FY2024 (+168.1%), $205.15 million in FY2023 (+258.6%), $57.21 million in FY2022 (-2.7%) and $58.78 million in FY2021 (+7.1%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last 12 quarters, with growth averaging 199.6% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2026, with growth of 459.2%; the weakest was Q1 2023, with a decline of 58.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.05 billion (Q1 2026), $981.9 million (Q4 2025) and $860.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Lennox International | 12.27 Bn | 12.07 Bn | 539.50 Mn | 51.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.85 Bn |
| Mar 31, 2026 | 1.05 Bn |
| Dec 31, 2025 | 981.90 Mn |
| Sep 30, 2025 | 860.52 Mn |
| Jun 30, 2025 | 331.71 Mn |
| Mar 31, 2025 | 204.76 Mn |
| Dec 31, 2024 | 549.94 Mn |
| Sep 30, 2024 | 415.58 Mn |
| Jun 30, 2024 | 199.42 Mn |
| Mar 31, 2024 | 100.79 Mn |
| Dec 31, 2023 | 205.15 Mn |
| Sep 30, 2023 | 137.62 Mn |
| Jun 30, 2023 | 60.01 Mn |
| Mar 31, 2023 | 48.56 Mn |
| Dec 31, 2022 | 57.21 Mn |
| Sep 30, 2022 | 71.14 Mn |
| Jun 30, 2022 | 69.13 Mn |
| Mar 31, 2022 | 115.62 Mn |
| Dec 31, 2021 | 58.78 Mn |
| Sep 30, 2021 | 67.72 Mn |
API Access
Comfort Systems Usa Cash & Equivalents 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=cash-and-equivalents&ticker=FIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();