All In FutureTech Alliance (AIFA) Total Liabilities (2017 - 2026)
All In FutureTech Alliance's Total Liabilities was $31.07 million in Q2 2026, down 33.2% from $46.5 million a year earlier and down 11.8% from the prior quarter.
All In FutureTech Alliance (AIFA) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at All In FutureTech Alliance came in at $52.13 million, up 48.3% from FY2024.
- Total Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $35.16 million in FY2024 (+88.9%), $18.61 million in FY2023 (+89.4%), $9.83 million in FY2022 (+37.3%) and $7.16 million in FY2021 (-74.9%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q1 2024.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 81.5%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2024 (growth of 447.3%); the worst was Q2 2022 (a decline of 87.1%).
- Per Business Quant data, AIFA's Total Liabilities in the three quarters before Q2 2026 was $35.21 million (Q1 2026), $52.13 million (Q4 2025) and $49.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.14 Bn | 11.55 Bn | 1.48 Bn | 19.01 Bn |
| 2 | DraftKings | 18.81 Bn | 14.47 Bn | 551.45 Mn | 3.71 Bn |
| 3 | Flutter Entertainment | 13.30 Bn | 7.05 Bn | 1.71 Bn | 19.23 Bn |
| 4 | Madison Square Garden Sports | 10.02 Bn | 9.62 Bn | 119.21 Mn | 1.80 Bn |
| 5 | Life Time Group Holdings | 8.83 Bn | 8.07 Bn | 412.26 Mn | 5.06 Bn |
| 6 | Wynn Resorts | 8.33 Bn | 1.88 Bn | 758.95 Mn | 14.07 Bn |
| 7 | MGM Resorts International | 8.01 Bn | -169.85 Mn | 1.98 Bn | 36.48 Bn |
| 8 | Caesars Entertainment | 6.03 Bn | 2.65 Bn | 1.50 Bn | 28.19 Bn |
| 9 | Super Group (SGHC) | 5.93 Bn | 3.92 Bn | - | 536.00 Mn |
| 10 | All In FutureTech Alliance | 26.84 Mn | 28.49 Mn | - | 31.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.07 Mn |
| Mar 31, 2026 | 35.21 Mn |
| Dec 31, 2025 | 52.13 Mn |
| Sep 30, 2025 | 49.87 Mn |
| Jun 30, 2025 | 46.50 Mn |
| Mar 31, 2025 | 44.97 Mn |
| Dec 31, 2024 | 35.16 Mn |
| Sep 30, 2024 | 45.26 Mn |
| Jun 30, 2024 | 38.85 Mn |
| Mar 31, 2024 | 23.38 Mn |
| Dec 31, 2023 | 18.61 Mn |
| Sep 30, 2023 | 8.27 Mn |
| Jun 30, 2023 | 9.61 Mn |
| Mar 31, 2023 | 11.05 Mn |
| Dec 31, 2022 | 9.83 Mn |
| Sep 30, 2022 | 5.63 Mn |
| Jun 30, 2022 | 5.46 Mn |
| Mar 31, 2022 | 8.07 Mn |
| Dec 31, 2021 | 7.16 Mn |
| Sep 30, 2021 | 5.48 Mn |
All In FutureTech Alliance 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=AIFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AIFA", "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=AIFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();