Comfort Systems Usa (FIX) Asset Writedowns and Impairment (2010 - 2017)
Comfort Systems Usa's Asset Writedowns and Impairment was $1.11 million in FY2017.
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Analysis
Comfort Systems Usa (FIX) Asset Writedowns and Impairment (2010 - 2017) Analysis & Trends
From FY2010 onward, Comfort Systems Usa has reported Asset Writedowns and Impairment for 4 years.
- Asset Writedowns and Impairment shows a three-year compound annual growth rate of 15.0% (FY2014 to FY2017).
- The FY2017 figure marks the highest annual Asset Writedowns and Impairment since FY2011.
- Per Business Quant data, Asset Writedowns and Impairment in earlier years was $727,000 in FY2014.
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 |
|---|---|
| Jun 30, 2017 | 5,000.00 |
| Mar 31, 2017 | 1.10 Mn |
| Jun 30, 2014 | 727,000.00 |
| Dec 31, 2011 | 2.20 Mn |
| Sep 30, 2011 | 55.13 Mn |
| Dec 31, 2010 | 1.29 Mn |
| Jun 30, 2010 | 4.45 Mn |
API Access
Comfort Systems Usa Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=FIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();