Free Flow USA (FFLO) Net Long-Term Debt Issued (Repaid) (2013 - 2023)
Free Flow USA's Non-Current Debt was -$25,500 in FY2021, compared with $25,500 in FY2020.
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Analysis
Free Flow USA (FFLO) Net Long-Term Debt Issued (Repaid) (2013 - 2023) Analysis & Trends
- Per Business Quant data, Non-Current Debt in earlier years was $25,500 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 47.56 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | -1.56 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | -21.00 Mn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | - |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | -38.00 Mn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | - |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | -476.85 Mn |
| 10 | Free Flow USA | 9.61 Mn | 9.56 Mn | 3,900.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 2,500.00 |
| Dec 31, 2022 | -508.00 |
| Sep 30, 2022 | -2,852.00 |
| Jun 30, 2022 | 2,135.00 |
| Mar 31, 2022 | 8,893.00 |
| Dec 31, 2021 | 19,055.00 |
| Sep 30, 2021 | -6,988.00 |
| Dec 31, 2020 | 708,411.00 |
| Sep 30, 2020 | 229,914.00 |
| Jun 30, 2020 | 25,655.00 |
| Mar 31, 2020 | 3,820.00 |
| Dec 31, 2019 | -275,000.00 |
| Sep 30, 2019 | 20,708.00 |
| Jun 30, 2019 | 198,639.00 |
| Mar 31, 2019 | 55,653.00 |
| Dec 31, 2018 | -63,895.00 |
| Sep 30, 2018 | 442,724.00 |
| Jun 30, 2018 | -127,685.00 |
| Mar 31, 2018 | 43,754.00 |
| Sep 30, 2017 | 24,378.00 |
API Access
Free Flow USA Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=FFLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=FFLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();