Future FinTech (FTFT) Total Non-Current Liabilities (2013 - 2026)
Future FinTech's Total Non-Current Liabilities came in at $954,406 for Q2 2026, down 20.2% from $1.2 million a year earlier and down 13.9% from the prior quarter.
Powered by 
Analysis
Future FinTech (FTFT) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Future FinTech's Total Non-Current Liabilities was $1.12 million, up 480.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 30.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $192,754 in FY2024 (-75.8%), $797,344 in FY2023 (+4.8%), $760,962 in FY2022 (-78.7%) and $3.57 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Year-over-year, Total Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 135.2%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 635.8%), and the weakest in Q3 2023 (a decline of 86.5%).
- Business Quant data shows FTFT's Total Non-Current Liabilities at $1.11 million (Q1 2026), $1.12 million (Q4 2025) and $1.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | - |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 77.86 Bn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 9.32 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 4,200.68 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 10.25 Bn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 105.01 Bn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 1.76 Bn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 126.51 Bn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | 16.51 Bn |
| 10 | Future FinTech | 1.44 Mn | -11.12 Mn | 193,832.00 | 954,406.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 954,406.00 |
| Mar 31, 2026 | 1.11 Mn |
| Dec 31, 2025 | 1.12 Mn |
| Sep 30, 2025 | 1.16 Mn |
| Jun 30, 2025 | 1.20 Mn |
| Mar 31, 2025 | 150,657.00 |
| Dec 31, 2024 | 192,754.00 |
| Sep 30, 2024 | 805,982.00 |
| Jun 30, 2024 | 855,048.00 |
| Mar 31, 2024 | 746,265.00 |
| Dec 31, 2023 | 797,344.00 |
| Sep 30, 2023 | 513,199.00 |
| Jun 30, 2023 | 586,682.00 |
| Mar 31, 2023 | 677,383.00 |
| Dec 31, 2022 | 760,962.00 |
| Sep 30, 2022 | 3.81 Mn |
| Jun 30, 2022 | 3.74 Mn |
| Mar 31, 2022 | 3.66 Mn |
| Dec 31, 2021 | 3.57 Mn |
| Sep 30, 2021 | 7.01 Mn |
API Access
Future FinTech Total Non-Current 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-non-current-liabilities&ticker=FTFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=FTFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();