DDC Enterprise (DDC) Receivables (2022 - 2026)
DDC Enterprise (DDC) reported Receivables of $6.01 million for Q2 2026, up 71.0% from $3.51 million a year earlier.
Powered by 
Analysis
DDC Enterprise (DDC) Receivables (2022 - 2026) Analysis & Trends
At the end of FY2025, DDC Enterprise posted Receivables of $65.83 million, up 55.6% from FY2024.
- Receivables has increased for three consecutive years, with a three-year compound annual growth rate of 110.8% (FY2022 to FY2025).
- By year, Receivables came in at $42.32 million in FY2024 (+72.7%), $24.5 million in FY2023 (+248.8%) and $7.02 million in FY2022.
- Five-year quarterly Receivables spans a low of $3.51 million in Q2 2025 and a high of $66.7 million in Q4 2025.
- Year over year, Receivables gained in three of the last four quarters, with growth averaging 37.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.98 Bn | 92.43 Bn | - | 11.65 Bn |
| 2 | Mondelez International | 80.60 Bn | 73.86 Bn | 3.99 Bn | 5.01 Bn |
| 3 | Hershey | 34.04 Bn | 30.29 Bn | 1.26 Bn | 907.37 Mn |
| 4 | Kraft Heinz | 28.03 Bn | 14.45 Bn | 2.03 Bn | 2.29 Bn |
| 5 | General Mills | 17.65 Bn | 15.29 Bn | 1.49 Bn | 1.78 Bn |
| 6 | J M Smucker | 13.65 Bn | 13.44 Bn | 979.60 Mn | 615.70 Mn |
| 7 | Mccormick | 12.49 Bn | 11.56 Bn | 794.90 Mn | 831.50 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.89 Bn | 471.52 Mn | 733.46 Mn |
| 9 | Chewy | 8.62 Bn | 5.91 Bn | 1.01 Bn | 232.10 Mn |
| 10 | DDC Enterprise | 1.53 Mn | -91.13 Mn | - | 6.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.02 Mn |
| Dec 31, 2025 | 67.62 Mn |
| Jun 30, 2025 | 3.54 Mn |
| Dec 31, 2024 | 41.66 Mn |
| Jun 30, 2024 | 7.56 Mn |
| Dec 31, 2023 | 24.36 Mn |
| Dec 31, 2022 | 6.77 Mn |
| Mar 31, 2022 | 13.20 Mn |
API Access
DDC Enterprise Receivables 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=receivables&ticker=DDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();