Core AI Holdings, Inc. (CHAI) Operating Expenses (2019 - 2026)
Core AI Holdings' Operating Expenses came in at -$1.64 million for Q2 2026, compared with -$403,336 a year earlier.
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Core AI Holdings, Inc. (CHAI) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Core AI Holdings reported Operating Expenses of -$2.13 million; for FY2025, it was -$6.57 million.
- Going back by year, Operating Expenses was $18.37 million in FY2024 (+39.3%), $13.18 million in FY2023 (-26.7%), $17.97 million in FY2022 (-19.2%) and $22.24 million in FY2021 (+80.8%).
- The five-year range for quarterly Operating Expenses is -$5.92 million (Q4 2025) to $5.9 million (Q4 2022).
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2024 (growth of 102.7%), and the weakest in Q3 2022 (a decline of 41.1%).
- Business Quant data shows CHAI's Operating Expenses at -$287,290 (Q1 2026), -$5.92 million (Q4 2025) and $5.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.64 Mn |
| Mar 31, 2026 | -287,290.00 |
| Dec 31, 2025 | -5.92 Mn |
| Sep 30, 2025 | 5.72 Mn |
| Jun 30, 2025 | -403,336.00 |
| Mar 31, 2025 | 3.52 Mn |
| Dec 31, 2024 | 5.44 Mn |
| Sep 30, 2024 | 5.51 Mn |
| Jun 30, 2024 | 4.50 Mn |
| Mar 31, 2024 | 2.91 Mn |
| Dec 31, 2023 | 3.81 Mn |
| Sep 30, 2023 | 2.72 Mn |
| Jun 30, 2023 | 3.50 Mn |
| Mar 31, 2023 | 3.16 Mn |
| Dec 31, 2022 | 5.90 Mn |
| Sep 30, 2022 | 3.33 Mn |
| Jun 30, 2022 | 4.93 Mn |
| Mar 31, 2022 | 3.82 Mn |
| Dec 31, 2021 | 3.66 Mn |
| Sep 30, 2021 | 5.65 Mn |
API Access
Core AI Holdings, Inc. 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=CHAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CHAI", "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=CHAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();