Comfort Systems Usa (FIX) Inventory (2009 - 2026)
Comfort Systems Usa (FIX) reported Inventory of $120.92 million for Q3 2026, up 53.4% from $78.83 million a year earlier and up 15.4% from the prior quarter.
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Analysis
Comfort Systems Usa (FIX) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Comfort Systems Usa posted Inventory of $84.07 million, up 41.9% from FY2024.
- Inventory has a five-year compound annual growth rate of 44.2% (FY2020 to FY2025).
- By year, Inventory came in at $59.22 million in FY2024 (-9.6%), $65.54 million in FY2023 (+85.6%), $35.31 million in FY2022 (+61.6%) and $21.85 million in FY2021 (+62.2%).
- The Q3 2026 figure ranks as the highest quarterly Inventory in data going back to Q4 2010.
- Year over year, Inventory has now increased in each of the last six quarters, with growth averaging 28.0% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q1 2024 (growth of 92.0%); the low point was Q1 2025 (a decline of 11.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $104.8 million (Q2 2026), $93.95 million (Q1 2026) and $84.07 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 2.60 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | 2.00 Bn |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 2.84 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 120.92 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 689.00 Mn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 511.70 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 1.05 Bn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 539.40 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 529.30 Mn |
| 10 | Madison Air Solutions | 12.59 Bn | 9.25 Bn | 422.70 Mn | 483.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 120.92 Mn |
| Jun 30, 2026 | 104.80 Mn |
| Mar 31, 2026 | 93.95 Mn |
| Dec 31, 2025 | 84.07 Mn |
| Sep 30, 2025 | 78.83 Mn |
| Jun 30, 2025 | 70.73 Mn |
| Mar 31, 2025 | 63.05 Mn |
| Dec 31, 2024 | 59.22 Mn |
| Sep 30, 2024 | 55.68 Mn |
| Jun 30, 2024 | 63.78 Mn |
| Mar 31, 2024 | 71.06 Mn |
| Dec 31, 2023 | 65.54 Mn |
| Sep 30, 2023 | 53.90 Mn |
| Jun 30, 2023 | 41.62 Mn |
| Mar 31, 2023 | 37.01 Mn |
| Dec 31, 2022 | 35.31 Mn |
| Sep 30, 2022 | 38.15 Mn |
| Jun 30, 2022 | 31.25 Mn |
| Mar 31, 2022 | 24.92 Mn |
| Dec 31, 2021 | 21.85 Mn |
API Access
Comfort Systems Usa Inventory 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=inventory&ticker=FIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();