Free Flow USA (FFLO) Depreciation & Amortization - Total (2012 - 2014)
Free Flow USA's Depreciation & Amortization - Total was $38,573 in FY2018.
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Analysis
Free Flow USA (FFLO) Depreciation & Amortization - Total (2012 - 2014) Analysis & Trends
From FY2012 onward, Free Flow USA has reported Depreciation & Amortization - Total for 4 years.
- Depreciation & Amortization - Total shows a five-year compound annual growth rate of 179.0% (FY2013 to FY2018).
- The FY2018 figure marks the lowest annual Depreciation & Amortization - Total since FY2014.
- Per Business Quant data, Depreciation & Amortization - Total in earlier years was $57.00 in FY2014 (-75.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 |
|---|---|
| Mar 31, 2014 | 57.00 |
| Dec 31, 2013 | 57.00 |
| Sep 30, 2013 | 57.00 |
| Jun 30, 2013 | 57.00 |
| Mar 31, 2013 | 57.00 |
| Sep 30, 2012 | 57.00 |
| Jun 30, 2012 | 57.00 |
| Mar 31, 2012 | 24.00 |
API Access
Free Flow USA Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();