Free Flow USA (FFLO) Interest Expenses (2012 - 2013)
Free Flow USA (FFLO) recorded Interest Expenses of $174.00 in Q4 2013, up 30.8% from the prior quarter.
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Analysis
Free Flow USA (FFLO) Interest Expenses (2012 - 2013) Analysis & Trends
For FY2013, Free Flow USA reported Interest Expenses of $517.00, up 138.2% from FY2012.
- Across earlier years, Interest Expenses came in at $217.00 in FY2012.
- Per Business Quant, the preceding three quarters came in at $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) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 69.87 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 101.00 Mn |
| 10 | Free Flow USA | 10.54 Mn | 10.44 Mn | 3,900.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 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=interest-expenses&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();