Comfort Systems Usa (FIX) Operating Leases (2010 - 2026)
Comfort Systems Usa (FIX) posted Operating Leases of $324.88 million for Q3 2026, up 25.9% from $258.06 million a year earlier and up 18.6% from the prior quarter.
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Analysis
Comfort Systems Usa (FIX) Operating Leases (2010 - 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%).
- The Q3 2026 figure stands as the highest quarterly Operating Leases in data going back to Q1 2019.
- On a year-over-year basis, Operating Leases has increased in each of the last 21 quarters, with growth averaging 22.4% 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 $273.97 million (Q2 2026), $300.01 million (Q1 2026) and $302.59 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 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 |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn |
| 10 | Madison Air Solutions | 12.59 Bn | 9.25 Bn | 422.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 324.88 Mn |
| 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 |
API Access
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_KEYimport 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();