DDC Enterprise (DDC) Cash & Equivalents (2021 - 2026)
DDC Enterprise (DDC) recorded Cash & Equivalents of $725,912 in Q2 2026, down 89.3% from $6.75 million a year earlier.
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Analysis
DDC Enterprise (DDC) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, DDC Enterprise reported Cash & Equivalents of $3.02 million, down 63.8% from FY2024.
- Annual Cash & Equivalents has a four-year compound annual growth rate of -29.1% (FY2021 to FY2025).
- Across earlier years, Cash & Equivalents came in at $8.35 million in FY2024 (-24.7%), $11.1 million in FY2023 (+194.0%), $3.77 million in FY2022 (-68.5%) and $11.98 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | 5.40 Bn |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 1.63 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 676.69 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.89 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 611.00 Mn |
| 10 | DDC Enterprise | 3.25 Mn | -80.28 Mn | - | 725,912.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 725,912.00 |
| Dec 31, 2025 | 3.02 Mn |
| Jun 30, 2025 | 6.75 Mn |
| Dec 31, 2024 | 8.35 Mn |
| Jun 30, 2024 | 11.22 Mn |
| Dec 31, 2023 | 11.09 Mn |
| Sep 30, 2023 | 1.03 Mn |
| Dec 31, 2022 | 3.85 Mn |
| Mar 31, 2022 | 20,187.51 |
| Dec 31, 2021 | 2.12 Mn |
API Access
DDC Enterprise Cash & Equivalents 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=cash-and-equivalents&ticker=DDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();