Future FinTech (FTFT) Total Liabilities (2010 - 2026)
Future FinTech's Total Liabilities came in at $8.51 million for Q2 2026, down 15.1% from $10.03 million a year earlier but up 1.8% from the prior quarter.
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Analysis
Future FinTech (FTFT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Future FinTech's Total Liabilities was $9.33 million, down 59.2% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $22.88 million in FY2024 (+23.5%), $18.53 million in FY2023 (-4.2%), $19.33 million in FY2022 (+79.0%) and $10.8 million in FY2021 (+50.0%).
- The five-year range for quarterly Total Liabilities is $8.37 million (Q1 2026) to $30 million (Q2 2023).
- Year-over-year, Total Liabilities has declined for six consecutive quarters, with an average decline of 19.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 251.1%), and the weakest in Q4 2025 (a decline of 59.2%).
- Business Quant data shows FTFT's Total Liabilities at $8.37 million (Q1 2026), $9.33 million (Q4 2025) and $10.95 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | 37.43 Bn |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 84.49 Bn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 10.03 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 4,215.85 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 10.31 Bn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 105.03 Bn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 1.82 Bn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 126.76 Bn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | 16.61 Bn |
| 10 | Future FinTech | 1.44 Mn | -11.12 Mn | 193,832.00 | 8.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.51 Mn |
| Mar 31, 2026 | 8.37 Mn |
| Dec 31, 2025 | 9.33 Mn |
| Sep 30, 2025 | 10.95 Mn |
| Jun 30, 2025 | 10.03 Mn |
| Mar 31, 2025 | 12.72 Mn |
| Dec 31, 2024 | 22.88 Mn |
| Sep 30, 2024 | 17.65 Mn |
| Jun 30, 2024 | 18.59 Mn |
| Mar 31, 2024 | 18.29 Mn |
| Dec 31, 2023 | 18.53 Mn |
| Sep 30, 2023 | 12.03 Mn |
| Jun 30, 2023 | 30.00 Mn |
| Mar 31, 2023 | 21.04 Mn |
| Dec 31, 2022 | 19.33 Mn |
| Sep 30, 2022 | 15.58 Mn |
| Jun 30, 2022 | 10.71 Mn |
| Mar 31, 2022 | 13.90 Mn |
| Dec 31, 2021 | 10.80 Mn |
| Sep 30, 2021 | 10.44 Mn |
API Access
Future FinTech Total Liabilities 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=total-liabilities&ticker=FTFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FTFT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=FTFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();