Fluor (FLR) Other Operating Expenses (2013 - 2015)
Fluor (FLR) posted Other Operating Expenses of -$36.81 million for Q1 2015, compared with -$34.49 million a year earlier.
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Analysis
Fluor (FLR) Other Operating Expenses (2013 - 2015) Analysis & Trends
For FY2014, Fluor's Other Operating Expenses came in at -$169.79 million.
- In prior years, Fluor's Other Operating Expenses was -$162.22 million in FY2013.
- Quarterly Other Operating Expenses has run from a low of -$61.29 million in Q4 2013 to a high of -$28.71 million in Q2 2013 over five years.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was -$49.99 million (Q4 2014), -$31.89 million (Q3 2014) and -$53.42 million (Q2 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
|---|---|
| Mar 31, 2015 | -36.81 Mn |
| Dec 31, 2014 | -49.99 Mn |
| Sep 30, 2014 | -31.89 Mn |
| Jun 30, 2014 | -53.42 Mn |
| Mar 31, 2014 | -34.49 Mn |
| Dec 31, 2013 | -61.29 Mn |
| Sep 30, 2013 | -42.85 Mn |
| Jun 30, 2013 | -28.71 Mn |
| Mar 31, 2013 | -29.37 Mn |
API Access
Fluor Other Operating Expenses 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=other-operating-expenses&ticker=FLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=FLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();