Free Flow USA (FFLO) Prepaid Assets (2014 - 2019)
Free Flow USA (FFLO) reported Prepaid Assets of $15,923 for Q3 2019, up 565.4% from $2,393 a year earlier.
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Analysis
Free Flow USA (FFLO) Prepaid Assets (2014 - 2019) Analysis & Trends
At the end of FY2016, Free Flow USA posted Prepaid Assets of $48,600, up 553.7% from FY2015.
- By year, Prepaid Assets came in at $7,435 in FY2015 (+643.5%) and $1,000 in FY2014.
- The Q3 2019 figure ranks as the highest quarterly Prepaid Assets since Q2 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Free Flow USA | 7.44 Mn | 7.34 Mn | 3,900.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 15,923.00 |
| Sep 30, 2018 | 2,393.00 |
| Jun 30, 2017 | 16,200.00 |
| Mar 31, 2017 | 32,400.00 |
| Dec 31, 2016 | 48,600.00 |
| Sep 30, 2016 | 64,800.00 |
| Jun 30, 2016 | 205.00 |
| Mar 31, 2016 | 2,581.00 |
| Dec 31, 2015 | 7,435.00 |
| Sep 30, 2015 | 1,040.00 |
| Jun 30, 2015 | 1,040.00 |
| Mar 31, 2015 | 1,040.00 |
| Dec 31, 2014 | 1,000.00 |
| Sep 30, 2014 | 5,392.00 |
| Jun 30, 2014 | 1,892.00 |
API Access
Free Flow USA Prepaid Assets 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=prepaid-assets&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();