Free Flow USA (FFLO) Non-Current Debt (2012 - 2026)
Free Flow USA's Non-Current Debt was -$25,500 in FY2021, compared with $25,500 in FY2020.
Powered by 
Analysis
Free Flow USA (FFLO) Non-Current Debt (2012 - 2026) 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) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 43.95 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 1.87 Bn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | 35.20 Bn |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 777.05 Mn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | 7.01 Bn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 14.22 Bn |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 9.02 Bn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | 4.85 Bn |
| 10 | Free Flow USA | 10.54 Mn | 10.44 Mn | 3,900.00 | 500,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 500,000.00 |
| Dec 31, 2025 | 500,000.00 |
| Sep 30, 2025 | 500,000.00 |
| Jun 30, 2025 | 500,000.00 |
| Mar 31, 2025 | 500,000.00 |
| Dec 31, 2024 | 500,000.00 |
| Sep 30, 2024 | 499,647.00 |
| Jun 30, 2024 | 499,900.00 |
| Mar 31, 2024 | 499,900.00 |
| Dec 31, 2023 | 499,900.00 |
| Sep 30, 2023 | 499,900.00 |
| Jun 30, 2023 | 499,900.00 |
| Mar 31, 2023 | 499,900.00 |
| Dec 31, 2022 | 499,900.00 |
| Sep 30, 2022 | 10,142.00 |
| Jun 30, 2022 | 8,017.00 |
| Mar 31, 2022 | 8,032.00 |
| Dec 31, 2021 | 335,801.00 |
| Sep 30, 2021 | 9,057.00 |
| Jun 30, 2021 | 8,677.00 |
API Access
Free Flow USA Non-Current Debt 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();