Free Flow USA (FFLO) Other non-cash items (2019)
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Analysis
Free Flow USA (FFLO) Other non-cash items (2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,675.54 Bn | 2,192.24 Bn | 104.83 Bn |
| 2 | Home Depot | 317.63 Bn | 310.87 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.23 Bn | 137.78 Bn | 5.07 Bn |
| 4 | Lowes Companies | 111.29 Bn | 104.25 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.22 Bn | 74.30 Bn | 2.52 Bn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn |
| 7 | Target | 70.31 Bn | 64.90 Bn | 8.94 Bn |
| 8 | Autozone | 53.51 Bn | 52.41 Bn | 2.52 Bn |
| 9 | Carvana | 40.65 Bn | 31.14 Bn | 1.38 Bn |
| 10 | Free Flow USA | 10.54 Mn | 10.44 Mn | 3,900.00 |
API Access
Free Flow USA Other non-cash items 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-non-cash-items&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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-non-cash-items&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();