Eyeonix AIQ (EAIQ) Other Operating Expenses (2024 - 2026)
Fast Casual Concepts (EAIQ) reported Other Operating Expenses of $16,129 for Q2 2026, up 412.4% from $3,148 a year earlier and up 88.2% from the prior quarter.
Eyeonix AIQ (EAIQ) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fast Casual Concepts' Other Operating Expenses came in at $32,767, up 18.6% year-over-year; for FY2025, it was $12,356, down 35.9% from FY2024.
- By year, Other Operating Expenses came in at $19,283 in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Other Operating Expenses in data going back to Q3 2024.
- Year over year, Other Operating Expenses gained in two of the last four quarters, with growth averaging 134.8%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $8,569 (Q1 2026), $2,414 (Q4 2025) and $5,655 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Skydance | 40.81 Bn | 33.65 Bn | 2.37 Bn |
| 2 | Fox | 28.36 Bn | 14.11 Bn | - |
| 3 | Omnicom | 24.24 Bn | 6.32 Bn | 1.36 Bn |
| 4 | News | 14.40 Bn | 7.03 Bn | - |
| 5 | New York Times | 11.56 Bn | 8.99 Bn | 395.07 Mn |
| 6 | Pearson | 10.96 Bn | 8.09 Bn | - |
| 7 | Sirius Xm Holdings | 10.86 Bn | 10.31 Bn | 1.43 Bn |
| 8 | Nexstar Media | 6.37 Bn | 5.01 Bn | 1.20 Bn |
| 9 | Wpp | 6.05 Bn | -5.75 Bn | - |
| 10 | Eyeonix AIQ | 51.73 Mn | 51.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34,005.00 |
| Mar 31, 2026 | 26,400.00 |
| Dec 31, 2025 | 17,789.00 |
| Sep 30, 2025 | 13,099.00 |
| Jun 30, 2025 | 7,548.00 |
| Mar 31, 2025 | 9,589.00 |
| Dec 31, 2024 | 13,115.00 |
| Sep 30, 2024 | 1,773.00 |
Eyeonix AIQ Other 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=other-operating-expenses&ticker=EAIQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "EAIQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=EAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();