DDC Enterprise (DDC) Other Accumulated Expenses (2022 - 2026)
DDC Enterprise's Other Accumulated Expenses was $797,867 in Q2 2026, compared with $68,553 a year earlier.
Analysis
DDC Enterprise (DDC) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at DDC Enterprise came in at $1.17 million.
- Other Accumulated Expenses shows a three-year compound annual growth rate of -26.1% (FY2022 to FY2025).
- In earlier years, Other Accumulated Expenses was -$2.87 million in FY2024, $2.48 million in FY2023 (-14.2%) and $2.89 million in FY2022.
- Quarterly Other Accumulated Expenses has moved between -$2.42 million (Q4 2023) and $2.97 million (Q2 2024) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | DDC Enterprise | 5.51 Mn | -87.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 797,867.00 |
| Dec 31, 2025 | 1.15 Mn |
| Jun 30, 2025 | 68,553.00 |
| Dec 31, 2024 | 68,367.31 |
| Jun 30, 2024 | 2.97 Mn |
| Dec 31, 2023 | -2.42 Mn |
| Sep 30, 2023 | -2.12 Mn |
| Dec 31, 2022 | 2.73 Mn |
| Sep 30, 2022 | -2.34 Mn |
| Mar 31, 2022 | 2.38 Mn |
API Access
DDC Enterprise Other Accumulated 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-accumulated-expenses&ticker=DDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "DDC", "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-accumulated-expenses&ticker=DDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();