Future FinTech (FTFT) Operating Expenses (2010 - 2026)
Future FinTech's Operating Expenses came in at $2.1 million for Q2 2026, up 40.2% from $1.49 million a year earlier and up 49.9% from the prior quarter.
Future FinTech (FTFT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Future FinTech reported Operating Expenses of $5.19 million, down 91.7% year-over-year; for FY2025, it was $34.42 million, up 0.9% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $34.12 million in FY2024 (+38.1%), $24.71 million in FY2023 (+11.3%), $22.21 million in FY2022 (+48.0%) and $15.01 million in FY2021 (-2.4%).
- The five-year range for quarterly Operating Expenses is -$525,691 (Q4 2025) to $30.71 million (Q1 2025).
- Year-over-year, Operating Expenses increased in four of the last six quarters, with an average decline of 0.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 986.6%), and the weakest in Q1 2026 (a decline of 95.4%).
- Business Quant data shows FTFT's Operating Expenses at $1.4 million (Q1 2026), -$525,691 (Q4 2025) and $2.22 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | 2.50 Bn |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | - |
| 10 | Future FinTech | 1.44 Mn | -11.12 Mn | 193,832.00 | 2.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Mn |
| Mar 31, 2026 | 1.40 Mn |
| Dec 31, 2025 | -525,691.00 |
| Sep 30, 2025 | 2.22 Mn |
| Jun 30, 2025 | 1.49 Mn |
| Mar 31, 2025 | 30.71 Mn |
| Dec 31, 2024 | 25.58 Mn |
| Sep 30, 2024 | 5.07 Mn |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 2.18 Mn |
| Dec 31, 2023 | 15.57 Mn |
| Sep 30, 2023 | 3.94 Mn |
| Jun 30, 2023 | 1.47 Mn |
| Mar 31, 2023 | 3.73 Mn |
| Dec 31, 2022 | 7.40 Mn |
| Sep 30, 2022 | 6.13 Mn |
| Jun 30, 2022 | 4.22 Mn |
| Mar 31, 2022 | 4.46 Mn |
| Dec 31, 2021 | 4.83 Mn |
| Sep 30, 2021 | 7.84 Mn |
Future FinTech Operating Expenses 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=operating-expenses&ticker=FTFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FTFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();