DDC Enterprise (DDC) Total Non-Current Liabilities (2022 - 2026)
DDC Enterprise (DDC) posted Total Non-Current Liabilities of $24.14 million for Q2 2026, up 285.7% from $6.26 million a year earlier.
DDC Enterprise (DDC) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, DDC Enterprise's Total Non-Current Liabilities came in at $25.16 million, up 468.1% from FY2024.
- Annual Total Non-Current Liabilities shows a three-year compound annual growth rate of 14.5% (FY2022 to FY2025).
- In prior years, DDC Enterprise's Total Non-Current Liabilities was $4.43 million in FY2024 (-65.9%), $13 million in FY2023 (-22.4%) and $16.77 million in FY2022.
- Quarterly Total Non-Current Liabilities has run from a low of $745,659 in Q1 2022 to a high of $24.81 million in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in three of the last four quarters, with growth averaging 182.1%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 21.57 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 8.50 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 8.16 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.32 Bn |
| 10 | DDC Enterprise | 5.01 Mn | -87.53 Mn | - | 24.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.14 Mn |
| Dec 31, 2025 | 24.81 Mn |
| Jun 30, 2025 | 6.26 Mn |
| Dec 31, 2024 | 4.50 Mn |
| Jun 30, 2024 | 4.00 Mn |
| Dec 31, 2023 | 12.82 Mn |
| Dec 31, 2022 | 15.83 Mn |
| Mar 31, 2022 | 745,659.28 |
DDC Enterprise Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();