Comfort Systems Usa (FIX) Accumulated Expenses (2009 - 2026)
Comfort Systems Usa (FIX) recorded Accumulated Expenses of $41.33 million in Q3 2026, down 1.6% from $41.99 million a year earlier but up 3.0% from the prior quarter.
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Analysis
Comfort Systems Usa (FIX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Comfort Systems Usa reported Accumulated Expenses of $42.97 million, up 1.6% from FY2024.
- Annual Accumulated Expenses has increased for four straight years, though with a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $42.32 million in FY2024 (+52.4%), $27.77 million in FY2023 (+0.5%), $27.64 million in FY2022 (+24.4%) and $22.23 million in FY2021 (-54.8%).
- Quarterly Accumulated Expenses has ranged from $20.97 million in Q2 2022 to $42.97 million in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in seven of the last eight quarters, with growth averaging 14.6%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 52.4% in Q4 2024, against a decline of 55.7% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.14 million (Q2 2026), $37.93 million (Q1 2026) and $42.97 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 91.50 Bn | 86.14 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 83.63 Bn | 81.11 Bn | 2.71 Bn |
| 3 | Carrier Global | 44.36 Bn | 39.10 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 38.92 Bn | 32.88 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 29.51 Bn | 26.06 Bn | 1.16 Bn |
| 6 | Masco | 16.33 Bn | 14.40 Bn | 720.00 Mn |
| 7 | Allegion | 16.19 Bn | 14.81 Bn | 548.20 Mn |
| 8 | James Hardie Industries | 16.17 Bn | 15.36 Bn | 562.40 Mn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn |
| 10 | Madison Air Solutions | 12.50 Bn | 9.16 Bn | 422.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.33 Mn |
| Jun 30, 2026 | 40.14 Mn |
| Mar 31, 2026 | 37.93 Mn |
| Dec 31, 2025 | 42.97 Mn |
| Sep 30, 2025 | 41.99 Mn |
| Jun 30, 2025 | 35.12 Mn |
| Mar 31, 2025 | 35.41 Mn |
| Dec 31, 2024 | 42.32 Mn |
| Sep 30, 2024 | 36.92 Mn |
| Jun 30, 2024 | 31.88 Mn |
| Mar 31, 2024 | 29.71 Mn |
| Dec 31, 2023 | 27.77 Mn |
| Sep 30, 2023 | 25.91 Mn |
| Jun 30, 2023 | 25.76 Mn |
| Mar 31, 2023 | 23.87 Mn |
| Dec 31, 2022 | 27.64 Mn |
| Sep 30, 2022 | 25.32 Mn |
| Jun 30, 2022 | 20.97 Mn |
| Mar 31, 2022 | 22.41 Mn |
| Dec 31, 2021 | 22.23 Mn |
API Access
Comfort Systems Usa Accumulated Expenses 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=accumulated-expenses&ticker=FIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();