Free Flow USA (FFLO) Change in Accured Expenses (2012 - 2015)
Free Flow USA's Change in Accured Expenses was -$372.00 in FY2015, compared with $372.00 in FY2014.
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Analysis
Free Flow USA (FFLO) Change in Accured Expenses (2012 - 2015) Analysis & Trends
From FY2012 onward, Free Flow USA has reported Change in Accured Expenses for 4 years.
- Per Business Quant data, Change in Accured Expenses in earlier years was $372.00 in FY2014 (-87.3%), $2,940 in FY2013 and $217.00 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 595.00 Mn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | - |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 199.00 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Free Flow USA | 7.44 Mn | 7.34 Mn | 3,900.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | -372.00 |
| Dec 31, 2014 | -970.00 |
| Sep 30, 2014 | 1,102.00 |
| Mar 31, 2014 | 240.00 |
| Dec 31, 2013 | -950.00 |
| Sep 30, 2013 | 1,749.00 |
| Jun 30, 2013 | 1,181.00 |
| Mar 31, 2013 | 960.00 |
| Mar 31, 2012 | 160.00 |
API Access
Free Flow USA Change in Accured 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=change-in-accured-expenses&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();