Comfort Systems Usa (FIX) Operating Leases (2019 - 2026)
Comfort Systems Usa (FIX) posted Operating Leases of $273.97 million for Q2 2026, up 30.1% from $210.63 million a year earlier but down 8.7% from the prior quarter.
Comfort Systems Usa (FIX) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Comfort Systems Usa's Operating Leases came in at $302.59 million, up 42.7% from FY2024.
- Annual Operating Leases has increased for six consecutive years, with a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- In prior years, Comfort Systems Usa's Operating Leases was $212.11 million in FY2024 (+12.7%), $188.14 million in FY2023 (+68.4%), $111.74 million in FY2022 (+3.8%) and $107.7 million in FY2021 (+33.7%).
- Quarterly Operating Leases has run from a low of $88.92 million in Q3 2021 to a high of $302.59 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last 20 quarters, with growth averaging 20.3% over the last eight quarters.
- The year-over-year growth in Operating Leases has ranged between 0.3% (Q1 2025) and 82.3% (Q1 2024) over the last five years.
- According to Business Quant data, Operating Leases for the three prior quarters was $300.01 million (Q1 2026), $302.59 million (Q4 2025) and $258.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn |
| 10 | Lennox International | 12.31 Bn | 12.11 Bn | 539.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 273.97 Mn |
| Mar 31, 2026 | 300.01 Mn |
| Dec 31, 2025 | 302.59 Mn |
| Sep 30, 2025 | 258.06 Mn |
| Jun 30, 2025 | 210.63 Mn |
| Mar 31, 2025 | 210.36 Mn |
| Dec 31, 2024 | 212.11 Mn |
| Sep 30, 2024 | 208.27 Mn |
| Jun 30, 2024 | 208.71 Mn |
| Mar 31, 2024 | 209.72 Mn |
| Dec 31, 2023 | 188.14 Mn |
| Sep 30, 2023 | 191.45 Mn |
| Jun 30, 2023 | 115.30 Mn |
| Mar 31, 2023 | 115.02 Mn |
| Dec 31, 2022 | 111.74 Mn |
| Sep 30, 2022 | 114.44 Mn |
| Jun 30, 2022 | 113.65 Mn |
| Mar 31, 2022 | 107.03 Mn |
| Dec 31, 2021 | 107.70 Mn |
| Sep 30, 2021 | 88.92 Mn |
Comfort Systems Usa Operating Leases 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-leases&ticker=FIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();