Fluor (FLR) Buildings (2009 - 2018)
Fluor's Buildings came in at $508.12 million for Q4 2018, up 2.9% from $493.7 million a year earlier.
Powered by 
Analysis
Fluor (FLR) Buildings (2009 - 2018) Analysis & Trends
Going back to Q4 2009, Fluor's Buildings data covers 10 quarters.
- Buildings has increased in each of the last three years, with a five-year compound annual growth rate of 2.1% (FY2013 to FY2018).
- Going back by year, Buildings was $493.7 million in FY2017 (+0.7%), $490.05 million in FY2016 (+12.9%), $434.21 million in FY2015 (-4.5%) and $454.64 million in FY2014 (-0.9%).
- The Q4 2018 figure represents the highest quarterly Buildings in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.10 Bn | 80.29 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.78 Bn | 16.09 Bn | - |
| 3 | Emcor | 28.64 Bn | 25.04 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 16.99 Bn | 11.64 Bn | 810.70 Mn |
| 5 | Mastec | 13.74 Bn | 12.65 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 10.90 Bn | 9.26 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.51 Bn | 7.37 Bn | 340.66 Mn |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn |
| 9 | Aecom | 7.78 Bn | 3.11 Bn | -34.04 Mn |
| 10 | Fluor | 5.97 Bn | -7.14 Bn | 179.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 508.12 Mn |
| Dec 31, 2017 | 493.70 Mn |
| Dec 31, 2016 | 490.05 Mn |
| Dec 31, 2015 | 434.21 Mn |
| Dec 31, 2014 | 454.64 Mn |
| Dec 31, 2013 | 458.58 Mn |
| Dec 31, 2012 | 453.48 Mn |
| Dec 31, 2011 | 419.36 Mn |
| Dec 31, 2010 | 412.56 Mn |
| Dec 31, 2009 | 368.24 Mn |
API Access
Fluor Buildings 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=buildings&ticker=FLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=FLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();