CID Holdco (DAIC) Operating Expenses (2024 - 2026)
CID Holdco (DAIC) recorded Operating Expenses of $3.04 million in Q2 2026, up 31.1% from $2.32 million a year earlier but down 26.1% from the prior quarter.
CID Holdco (DAIC) Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, CID Holdco's Operating Expenses came in at $15.83 million as of Jun 30, 2026, up 81.1% year-over-year; for FY2025, it came in at $13.07 million, up 82.2% from FY2024.
- Across earlier years, Operating Expenses came in at $7.17 million in FY2024.
- Quarterly Operating Expenses has ranged from $1.45 million in Q2 2024 to $4.51 million in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 78.6% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $4.11 million (Q1 2026), $4.18 million (Q4 2025) and $4.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | CID Holdco | 4.58 Mn | 986,436.19 | 5,760.00 | 3.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.04 Mn |
| Mar 31, 2026 | 4.11 Mn |
| Dec 31, 2025 | 4.18 Mn |
| Sep 30, 2025 | 4.51 Mn |
| Jun 30, 2025 | 2.32 Mn |
| Mar 31, 2025 | 2.07 Mn |
| Dec 31, 2024 | 2.38 Mn |
| Sep 30, 2024 | 1.97 Mn |
| Jun 30, 2024 | 1.45 Mn |
CID Holdco 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=DAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DAIC", "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=DAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();