Free Flow USA (FFLO) Depreciation & Amortization (CF) (2012 - 2014)
Free Flow USA's Depreciation & Amortization (CF) was $42,503 in FY2023, down 31.9% from $62,436 in FY2022.
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Analysis
Free Flow USA (FFLO) Depreciation & Amortization (CF) (2012 - 2014) Analysis & Trends
From FY2012 onward, Free Flow USA has reported Depreciation & Amortization (CF) for 9 years.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 2.0% (FY2018 to FY2023).
- The FY2023 figure marks the lowest annual Depreciation & Amortization (CF) since FY2018.
- Per Business Quant data, Depreciation & Amortization (CF) in earlier years was $62,436 in FY2022 (+19.1%), $52,434 in FY2021 (-11.2%), $59,018 in FY2020 (-0.8%) and $59,473 in FY2019 (+54.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 20.95 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 648.00 Mn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 64.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 140.19 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 784.00 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 139.55 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 220.14 Mn |
| 10 | Free Flow USA | 9.61 Mn | 9.56 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 (CF) 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-cf&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-cf&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();