DDC Enterprise (DDC) Accounts Payables (2022 - 2026)
DDC Enterprise's Accounts Payables was $4.03 million in Q2 2026, up 16.4% from $3.47 million a year earlier.
Analysis
DDC Enterprise (DDC) Accounts Payables (2022 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at DDC Enterprise came in at $3.65 million, up 9.6% from FY2024.
- Accounts Payables has now increased for three consecutive years, with a three-year compound annual growth rate of 12.9% (FY2022 to FY2025).
- In earlier years, Accounts Payables was $3.33 million in FY2024 (+13.7%), $2.93 million in FY2023 (+15.4%) and $2.54 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Accounts Payables since Q2 2024.
- Compared with a year earlier, Accounts Payables was higher in three of the last four quarters, with growth averaging 0.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 22.45 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 9.41 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 1.40 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 4.48 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 3.72 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 1.52 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 1.21 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 678.00 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 1.17 Bn |
| 10 | DDC Enterprise | 5.01 Mn | -87.53 Mn | - | 4.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.03 Mn |
| Dec 31, 2025 | 3.60 Mn |
| Jun 30, 2025 | 3.47 Mn |
| Dec 31, 2024 | 3.38 Mn |
| Jun 30, 2024 | 5.58 Mn |
| Dec 31, 2023 | 2.89 Mn |
| Dec 31, 2022 | 2.40 Mn |
| Mar 31, 2022 | 359,508.31 |
API Access
DDC Enterprise Accounts Payables 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=accounts-payables&ticker=DDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();