All In FutureTech Alliance (AIFA) Operating Expenses (2018 - 2026)
All In FutureTech Alliance (AIFA) posted Operating Expenses of $3.52 million for Q2 2026, down 56.1% from $8.01 million a year earlier and down 30.6% from the prior quarter.
All In FutureTech Alliance (AIFA) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at All In FutureTech Alliance was $40.09 million, up 14.7% year-over-year; for FY2025, it came in at $47.03 million, up 45.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, All In FutureTech Alliance's Operating Expenses was $32.38 million in FY2024 (+127.2%), $14.25 million in FY2023 (-21.3%), $18.12 million in FY2022 (-12.6%) and $20.73 million in FY2021 (-40.7%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 71.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 303.2%; the weakest was Q4 2021, with a decline of 64.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $5.07 million (Q1 2026), $22.31 million (Q4 2025) and $9.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.14 Bn | 11.55 Bn | 1.48 Bn | 2.54 Bn |
| 2 | DraftKings | 18.81 Bn | 14.47 Bn | 551.45 Mn | 297.09 Mn |
| 3 | Flutter Entertainment | 13.30 Bn | 7.05 Bn | 1.71 Bn | 845.00 Mn |
| 4 | Madison Square Garden Sports | 10.02 Bn | 9.62 Bn | 119.21 Mn | 86.28 Mn |
| 5 | Life Time Group Holdings | 8.83 Bn | 8.07 Bn | 412.26 Mn | 716.29 Mn |
| 6 | Wynn Resorts | 8.33 Bn | 1.88 Bn | 758.95 Mn | 1.56 Bn |
| 7 | MGM Resorts International | 8.01 Bn | -169.85 Mn | 1.98 Bn | 3.97 Bn |
| 8 | Caesars Entertainment | 6.03 Bn | 2.65 Bn | 1.50 Bn | 2.48 Bn |
| 9 | Super Group (SGHC) | 5.93 Bn | 3.92 Bn | - | -50.00 Mn |
| 10 | All In FutureTech Alliance | 26.84 Mn | 28.49 Mn | - | 3.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.52 Mn |
| Mar 31, 2026 | 5.07 Mn |
| Dec 31, 2025 | 22.31 Mn |
| Sep 30, 2025 | 9.18 Mn |
| Jun 30, 2025 | 8.01 Mn |
| Mar 31, 2025 | 7.53 Mn |
| Dec 31, 2024 | 16.06 Mn |
| Sep 30, 2024 | 3.34 Mn |
| Jun 30, 2024 | 7.93 Mn |
| Mar 31, 2024 | 5.05 Mn |
| Dec 31, 2023 | 3.98 Mn |
| Sep 30, 2023 | 1.76 Mn |
| Jun 30, 2023 | 4.66 Mn |
| Mar 31, 2023 | 3.85 Mn |
| Dec 31, 2022 | 3.91 Mn |
| Sep 30, 2022 | 3.27 Mn |
| Jun 30, 2022 | 4.78 Mn |
| Mar 31, 2022 | 6.16 Mn |
| Dec 31, 2021 | 5.70 Mn |
| Sep 30, 2021 | 5.62 Mn |
All In FutureTech Alliance 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=AIFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AIFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();