DDC Enterprise (DDC) Inventory (2022 - 2026)
DDC Enterprise (DDC) reported Inventory of $1.38 million for Q2 2026, up 222.8% from $426,593 a year earlier.
Analysis
DDC Enterprise (DDC) Inventory (2022 - 2026) Analysis & Trends
At the end of FY2025, DDC Enterprise posted Inventory of $1.18 million, up 82.0% from FY2024.
- Inventory has a three-year compound annual growth rate of 8.9% (FY2022 to FY2025).
- By year, Inventory came in at $646,610 in FY2024 (-54.0%), $1.41 million in FY2023 (+54.4%) and $910,837 in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Inventory since Q2 2024.
- Year over year, Inventory gained in two of the last four quarters, with growth averaging 44.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 5.26 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 4.41 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 1.74 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 3.31 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 2.16 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | - |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 1.19 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.80 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 924.70 Mn |
| 10 | DDC Enterprise | 5.01 Mn | -87.53 Mn | - | 1.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.38 Mn |
| Dec 31, 2025 | 1.16 Mn |
| Jun 30, 2025 | 426,593.00 |
| Dec 31, 2024 | 657,070.91 |
| Jun 30, 2024 | 1.42 Mn |
| Dec 31, 2023 | 1.39 Mn |
| Dec 31, 2022 | 859,871.69 |
| Mar 31, 2022 | 214,611.39 |
API Access
DDC Enterprise Inventory 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=inventory&ticker=DDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();