DDC Enterprise (DDC) Operating Leases (2022 - 2026)
DDC Enterprise's Operating Leases was $875,873 in Q2 2026, up 91.1% from $458,354 a year earlier.
Analysis
DDC Enterprise (DDC) Operating Leases (2022 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at DDC Enterprise came in at $915,975, up 86.5% from FY2024.
- Operating Leases shows a three-year compound annual growth rate of 8.4% (FY2022 to FY2025).
- In earlier years, Operating Leases was $491,108 in FY2024 (-13.8%), $569,739 in FY2023 (-20.7%) and $718,505 in FY2022.
- Quarterly Operating Leases has moved between $288,734 (Q1 2022) and $903,129 (Q4 2025) over five years.
- Compared with a year earlier, Operating Leases was higher in two of the last four quarters, with growth averaging 38.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 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 |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | DDC Enterprise | 5.01 Mn | -87.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 875,873.00 |
| Dec 31, 2025 | 903,128.53 |
| Jun 30, 2025 | 458,354.00 |
| Dec 31, 2024 | 499,052.58 |
| Jun 30, 2024 | 497,498.00 |
| Dec 31, 2023 | 561,811.87 |
| Dec 31, 2022 | 678,301.91 |
| Mar 31, 2022 | 288,734.24 |
API Access
DDC Enterprise Operating Leases 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=operating-leases&ticker=DDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();