Free Flow USA (FFLO) Other Accumulated Expenses (2012 - 2020)
Free Flow USA (FFLO) posted Other Accumulated Expenses of $60,206 for Q1 2020.
Analysis
Free Flow USA (FFLO) Other Accumulated Expenses (2012 - 2020) Analysis & Trends
At the end of FY2014, Free Flow USA's Other Accumulated Expenses came in at $372.00, down 39.7% from FY2013.
- In prior years, Free Flow USA's Other Accumulated Expenses was $617.00 in FY2013 (+184.3%) and $217.00 in FY2012.
- The Q1 2020 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 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 |
|---|---|
| Mar 31, 2020 | 60,206.00 |
| Dec 31, 2014 | 372.00 |
| Sep 30, 2014 | 1,102.00 |
| Mar 31, 2014 | 617.00 |
| Dec 31, 2013 | 617.00 |
| Sep 30, 2013 | 516.00 |
| Jun 30, 2013 | 427.00 |
| Dec 31, 2012 | 217.00 |
API Access
Free Flow USA Other Accumulated 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-accumulated-expenses&ticker=FFLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();