Free Flow USA (FFLO) Depreciation and Depletion (2012 - 2014)
Free Flow USA (FFLO) posted Depreciation and Depletion of $42,503 for FY2023, down 31.9% from $62,436 in FY2022.
Analysis
Free Flow USA (FFLO) Depreciation and Depletion (2012 - 2014) Analysis & Trends
Since FY2012, Free Flow USA has reported Depreciation and Depletion for 9 years.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 2.0% (FY2018 to FY2023).
- The FY2023 figure stands as the lowest annual Depreciation and Depletion since FY2018.
- Business Quant data shows FFLO's Depreciation and Depletion at $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. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 13.87 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 | 339.00 Mn |
| 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 and Depletion 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-depletion&ticker=FFLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();