AI Financial (AIFC) Operating Expenses (2010 - 2026)
AI Financial (AIFC) reported Operating Expenses of $3.06 million for Q2 2026, down 37.1% from $4.87 million a year earlier and down 51.5% from the prior quarter.
AI Financial (AIFC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, AI Financial's Operating Expenses came in at $33.33 million, up 100.4% year-over-year; for FY2025, it was $33.04 million, up 162.8% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 28.6% (FY2021 to FY2025).
- By year, Operating Expenses came in at $12.57 million in FY2024 (-36.7%), $19.85 million in FY2023 (+530.2%), $3.15 million in FY2022 (-74.0%) and $12.09 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q1 2024.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 145.7%.
- The high point for year-over-year Operating Expenses in five years was Q3 2025 (growth of 519.5%); the low point was Q2 2026 (a decline of 37.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.32 million (Q1 2026), $4.79 million (Q4 2025) and $19.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 7.26 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 207.36 Mn |
| 10 | AI Financial | 71.32 Mn | 39.90 Mn | 2.36 Mn | 3.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 3.06 Mn |
| Mar 28, 2026 | 6.32 Mn |
| Dec 27, 2025 | 4.79 Mn |
| Sep 27, 2025 | 19.16 Mn |
| Jun 28, 2025 | 4.87 Mn |
| Mar 29, 2025 | 3.87 Mn |
| Dec 28, 2024 | 4.80 Mn |
| Sep 28, 2024 | 3.09 Mn |
| Jun 29, 2024 | 3.53 Mn |
| Mar 30, 2024 | 1.81 Mn |
| Dec 30, 2023 | 1.82 Mn |
| Sep 30, 2023 | 764,000.00 |
| Jul 1, 2023 | 1.06 Mn |
| Apr 1, 2023 | 1.10 Mn |
| Dec 31, 2022 | 1.20 Mn |
| Oct 1, 2022 | 611,000.00 |
| Jul 2, 2022 | 658,000.00 |
| Apr 2, 2022 | 681,000.00 |
| Jan 1, 2022 | -687,000.00 |
| Oct 2, 2021 | 2.99 Mn |
AI Financial 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=AIFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AIFC", "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=AIFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();