Free Flow USA (FFLO) Change in Other Operating Assets (2014 - 2025)
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Analysis
Free Flow USA (FFLO) Change in Other Operating Assets (2014 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 4.72 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 149.00 Mn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 43.00 Mn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | -361.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 32.91 Mn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | - |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | -107.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | -13.00 Mn |
| 10 | Free Flow USA | 10.54 Mn | 10.44 Mn | 3,900.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -259,749.00 |
| Sep 30, 2025 | 92,189.00 |
| Dec 31, 2024 | 27,623.00 |
| Sep 30, 2024 | -88,760.00 |
| Mar 31, 2024 | 300,000.00 |
| Sep 30, 2021 | -8,624.00 |
| Mar 31, 2021 | 1,256.00 |
| Dec 31, 2019 | -11,127.00 |
| Mar 31, 2019 | -427.00 |
| Dec 31, 2018 | 45,639.00 |
| Sep 30, 2018 | -72,375.00 |
| Dec 31, 2017 | -99,020.00 |
| Sep 30, 2017 | 84,202.00 |
| Jun 30, 2017 | -19,402.00 |
| Mar 31, 2017 | -16,200.00 |
| Dec 31, 2016 | -8,765.00 |
| Sep 30, 2016 | 60,660.00 |
| Jun 30, 2016 | -2,376.00 |
| Mar 31, 2016 | 2,581.00 |
| Dec 31, 2015 | 6,395.00 |
API Access
Free Flow USA Change in Other Operating Assets 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=change-in-other-operating-assets&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-assets", "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=change-in-other-operating-assets&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();