CID Holdco (DAIC) Other Operating Expenses (2024 - 2026)
CID Holdco's Other Operating Expenses came in at $519,731 for Q2 2026, compared with -$2.73 million a year earlier and down 50.9% from the prior quarter.
CID Holdco (DAIC) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, CID Holdco reported Other Operating Expenses of $2.95 million, up 534.1% year-over-year; for FY2025, it was $4.86 million, up 2.1% from FY2024.
- Going back by year, Other Operating Expenses was $4.76 million in FY2024.
- The five-year range for quarterly Other Operating Expenses is -$2.73 million (Q2 2025) to $1.5 million (Q4 2024).
- Business Quant data shows DAIC's Other Operating Expenses at $1.06 million (Q1 2026), $1.13 million (Q4 2025) and $243,230 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | CID Holdco | 3.77 Mn | 171,466.69 | 5,760.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 519,731.00 |
| Mar 31, 2026 | 1.06 Mn |
| Dec 31, 2025 | 1.13 Mn |
| Sep 30, 2025 | 243,230.00 |
| Jun 30, 2025 | -2.73 Mn |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 635,459.00 |
| Jun 30, 2024 | 323,562.00 |
CID Holdco 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=DAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=DAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();