Free Flow USA (FFLO) Non Operating Interest Expenses (2012 - 2014)
Free Flow USA (FFLO) posted Non Operating Interest Expenses of $174.00 for Q4 2013, up 30.8% from the prior quarter.
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Analysis
Free Flow USA (FFLO) Non Operating Interest Expenses (2012 - 2014) Analysis & Trends
For FY2013, Free Flow USA's Non Operating Interest Expenses came in at $517.00, up 138.2% from FY2012.
- In prior years, Free Flow USA's Non Operating Interest Expenses was $217.00 in FY2012.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $133.00 (Q3 2013), $111.00 (Q2 2013) and $100.00 (Q1 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 1.69 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 98.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | - |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 98.00 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 81.85 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 10 | Free Flow USA | 9.61 Mn | 9.56 Mn | 3,900.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -4,454.00 |
| Sep 30, 2014 | 2,076.00 |
| Jun 30, 2014 | 974.00 |
| Mar 31, 2014 | 240.00 |
| Dec 31, 2013 | 174.00 |
| Sep 30, 2013 | 133.00 |
| Jun 30, 2013 | 111.00 |
| Mar 31, 2013 | 100.00 |
| Sep 30, 2012 | 100.00 |
| Jun 30, 2012 | 17.00 |
API Access
Free Flow USA Non Operating Interest 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=non-operating-interest-expenses&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "FFLO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();