DDC Enterprise (DDC) Selling, General & Administrative (2022 - 2023)
DDC Enterprise's Selling, General & Administrative came in at -$11.41 million for FY2025, compared with -$13.58 million in FY2024.
Analysis
DDC Enterprise (DDC) Selling, General & Administrative (2022 - 2023) Analysis & Trends
Going back to FY2021, DDC Enterprise's Selling, General & Administrative data covers 5 years.
- The FY2025 figure represents the highest annual Selling, General & Administrative since FY2022.
- Per Business Quant, earlier years put Selling, General & Administrative at -$13.58 million in FY2024, -$11.61 million in FY2023, -$7.97 million in FY2022 and -$10.33 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 441.80 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 704.40 Mn |
| 10 | DDC Enterprise | 5.01 Mn | -87.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -7.32 Mn |
| Sep 30, 2023 | -1.27 Mn |
| Dec 31, 2022 | -4.24 Mn |
| Sep 30, 2022 | -2.41 Mn |
| Mar 31, 2022 | 124,931.81 |
API Access
DDC Enterprise Selling, General & Administrative 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=selling-general-and-administrative&ticker=DDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();