Davis Commodities (DTCKF) Accumulated Expenses (2022 - 2025)
Davis Commodities (DTCKF) recorded Accumulated Expenses of $2.91 million in the quarter ended Dec 31, 2025, up 71.9% from $1.69 million a year earlier.
Davis Commodities (DTCKF) Accumulated Expenses (2022 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2022, Davis Commodities' Accumulated Expenses history includes 7 quarters.
- Annual Accumulated Expenses has a three-year compound annual growth rate of -15.1% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Accumulated Expenses came in at $1.69 million in the year ended Dec 31, 2024 (-56.1%), $3.85 million in the year ended Dec 31, 2023 (-18.9%) and $4.75 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 is the highest quarterly Accumulated Expenses since the quarter ended Jun 30, 2024.
- On a year-over-year basis, Accumulated Expenses rose in 1 of the last four quarters, with an average decline of 5.7%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.90 Bn | 30.38 Bn | 1.89 Bn |
| 2 | Tyson Foods | 21.01 Bn | 17.27 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.06 Bn | 15.97 Bn | 1.33 Bn |
| 4 | Jbs | 13.34 Bn | -19.93 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 7.96 Bn | 7.50 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.60 Bn | 2.15 Bn | 313.00 Mn |
| 7 | Pilgrims Pride | 6.79 Bn | 4.28 Bn | 333.67 Mn |
| 8 | Ingredion | 5.79 Bn | 1.97 Bn | 426.00 Mn |
| 9 | Scotts Miracle-Gro | 3.76 Bn | 3.69 Bn | 365.90 Mn |
| 10 | Davis Commodities | 553,224.88 | -4.55 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.91 Mn |
| Jun 30, 2025 | 2.40 Mn |
| Dec 31, 2024 | 1.69 Mn |
| Jun 30, 2024 | 3.03 Mn |
| Dec 31, 2023 | 3.85 Mn |
| Jun 30, 2023 | 3.70 Mn |
| Dec 31, 2022 | 4.75 Mn |
Davis Commodities Accumulated Expenses 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=accumulated-expenses&ticker=DTCKF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DTCKF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=DTCKF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();