CID Holdco (DAIC) Change in Accured Expenses (2024 - 2026)
CID Holdco (DAIC) recorded Change in Accured Expenses of $157,341 in Q2 2026, down 81.4% from $846,861 a year earlier and down 22.3% from the prior quarter.
CID Holdco (DAIC) Change in Accured Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, CID Holdco's Change in Accured Expenses came in at $1.15 million as of Jun 30, 2026, down 4.2% year-over-year; for FY2025, it was $1.8 million, up 690.9% from FY2024.
- Across earlier years, Change in Accured Expenses came in at $227,852 in FY2024.
- Quarterly Change in Accured Expenses has ranged from -$36,576 in Q3 2024 to $846,861 in Q2 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $202,417 (Q1 2026), $706,381 (Q4 2025) and $88,728 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | CID Holdco | 3.92 Mn | 326,029.75 | 5,760.00 | 157,341.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157,341.00 |
| Mar 31, 2026 | 202,417.00 |
| Dec 31, 2025 | 706,381.00 |
| Sep 30, 2025 | 88,728.00 |
| Jun 30, 2025 | 846,861.00 |
| Mar 31, 2025 | 160,000.00 |
| Dec 31, 2024 | 235,724.00 |
| Sep 30, 2024 | -36,576.00 |
CID Holdco Change in Accured 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=change-in-accured-expenses&ticker=DAIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();