Fluor (FLR) Land & Improvements (2009 - 2018)
Fluor (FLR) posted Land & Improvements of $81.57 million for Q4 2018, down 1.5% from $82.79 million a year earlier.
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Analysis
Fluor (FLR) Land & Improvements (2009 - 2018) Analysis & Trends
Since Q4 2009, Fluor has reported Land & Improvements for 10 quarters.
- Annual Land & Improvements shows a five-year compound annual growth rate of -1.7% (FY2013 to FY2018).
- In prior years, Fluor's Land & Improvements was $82.79 million in FY2017 (+6.2%), $77.99 million in FY2016 (+7.9%), $72.24 million in FY2015 (-14.3%) and $84.27 million in FY2014 (-5.1%).
- The Q4 2018 figure stands as the lowest quarterly Land & Improvements since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.69 Bn | 87.15 Bn | 2.01 Bn | - |
| 2 | Ferrovial | 44.45 Bn | 25.05 Bn | - | - |
| 3 | Emcor | 28.99 Bn | 25.27 Bn | 1.11 Bn | - |
| 4 | Jacobs Solutions | 18.53 Bn | 13.18 Bn | 810.70 Mn | - |
| 5 | Mastec | 14.68 Bn | 13.36 Bn | 660.86 Mn | - |
| 6 | Stantec | 9.77 Bn | 8.64 Bn | 2.08 Bn | - |
| 7 | Aecom | 9.07 Bn | 4.40 Bn | -34.04 Mn | - |
| 8 | Sterling Infrastructure | 8.95 Bn | 7.41 Bn | 377.28 Mn | - |
| 9 | IES Holdings | 6.79 Bn | 5.65 Bn | 340.66 Mn | - |
| 10 | Fluor | 159.30 Mn | -13.18 Bn | 203.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 81.57 Mn |
| 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();