Free Flow USA (FFLO) EBITDA (2012 - 2014)
Free Flow USA's EBITDA came in at -$553,720 for FY2024, compared with -$223,948 in FY2023.
Powered by 
Analysis
Free Flow USA (FFLO) EBITDA (2012 - 2014) Analysis & Trends
Going back to FY2012, Free Flow USA's EBITDA data covers 11 years.
- The FY2024 figure represents the lowest annual EBITDA in data going back to FY2012.
- Per Business Quant, earlier years put EBITDA at -$223,948 in FY2023, -$279,927 in FY2022, -$68,763 in FY2021 and -$95,719 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Free Flow USA | 7.44 Mn | 7.34 Mn | 3,900.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -19,738.00 |
| Sep 30, 2014 | -5,171.00 |
| Jun 30, 2014 | -3,558.00 |
| Mar 31, 2014 | -12,382.00 |
| Dec 31, 2013 | -6,636.00 |
| Sep 30, 2013 | -3,940.00 |
| Jun 30, 2013 | -3,895.00 |
| Mar 31, 2013 | -8,106.00 |
| Sep 30, 2012 | -3,016.00 |
| Mar 31, 2012 | -7,600.00 |
API Access
Free Flow USA EBITDA 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=ebitda&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();