Fluor (FLR) Land & Improvements (2009 - 2017)
Fluor (FLR) posted Land & Improvements of $82.79 million for Q4 2017, up 6.2% from $77.99 million a year earlier.
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Analysis
Fluor (FLR) Land & Improvements (2009 - 2017) Analysis & Trends
Since Q4 2009, Fluor has reported Land & Improvements for 9 quarters.
- Annual Land & Improvements shows a five-year compound annual growth rate of 9.9% (FY2012 to FY2017).
- In prior years, Fluor's Land & Improvements was $77.99 million in FY2016 (+7.9%), $72.24 million in FY2015 (-14.3%), $84.27 million in FY2014 (-5.1%) and $88.76 million in FY2013 (+71.9%).
- The Q4 2017 figure stands as the highest quarterly Land & Improvements since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn | - |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn | - |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn | - |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn | - |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn | - |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn | - |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn | - |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn | - |
| 10 | Fluor | 6.14 Bn | -7.07 Bn | 179.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 82.79 Mn |
| Dec 31, 2016 | 77.99 Mn |
| Dec 31, 2015 | 72.24 Mn |
| Dec 31, 2014 | 84.27 Mn |
| Dec 31, 2013 | 88.76 Mn |
| Dec 31, 2012 | 51.64 Mn |
| Dec 31, 2011 | 42.58 Mn |
| Dec 31, 2010 | 44.57 Mn |
| Dec 31, 2009 | 48.50 Mn |
API Access
Fluor Land & Improvements 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=land-and-improvements&ticker=FLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "FLR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=FLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();