Darling Ingredients (DAR) Accumulated Expenses (2010 - 2026)
Darling Ingredients (DAR) reported Accumulated Expenses of $504.31 million for Q2 2027, up 1.3% from $497.99 million a year earlier but down 0.1% from the prior quarter.
Darling Ingredients (DAR) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2024, Darling Ingredients posted Accumulated Expenses of $489.3 million, up 11.0% from FY2023.
- Accumulated Expenses has a five-year compound annual growth rate of 9.5% (FY2019 to FY2024).
- By year, Accumulated Expenses came in at $441 million in FY2023 (+2.1%) and $432.02 million in FY2022.
- Five-year quarterly Accumulated Expenses spans a low of $475.49 million in Q3 2026 and a high of $504.7 million in Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.57 Bn | 34.57 Bn | 1.94 Bn |
| 2 | Tyson Foods | 20.07 Bn | 16.33 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.93 Bn | 16.04 Bn | 1.68 Bn |
| 4 | Jbs | 13.21 Bn | -20.06 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 8.80 Bn | 8.34 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.38 Bn | 2.33 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.68 Bn | 4.49 Bn | 339.75 Mn |
| 8 | Ingredion | 6.14 Bn | 2.32 Bn | 426.00 Mn |
| 9 | Seaboard | 3.71 Bn | -1.13 Bn | 221.00 Mn |
| 10 | Scotts Miracle-Gro | 3.43 Bn | 3.36 Bn | 365.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 504.31 Mn |
| Apr 4, 2026 | 504.70 Mn |
| Jan 3, 2026 | 485.50 Mn |
| Sep 27, 2025 | 475.49 Mn |
| Jun 28, 2025 | 497.99 Mn |
| Mar 29, 2025 | 492.25 Mn |
| Dec 28, 2024 | 489.30 Mn |
| Sep 28, 2024 | 541.88 Mn |
| Jun 29, 2024 | 450.19 Mn |
| Mar 30, 2024 | 449.69 Mn |
| Dec 30, 2023 | 441.00 Mn |
| Sep 30, 2023 | 494.42 Mn |
| Jul 1, 2023 | 420.20 Mn |
| Apr 1, 2023 | 462.59 Mn |
| Dec 31, 2022 | 432.02 Mn |
| Oct 1, 2022 | 478.71 Mn |
| Jul 2, 2022 | 398.60 Mn |
| Apr 2, 2022 | 360.06 Mn |
| Jan 1, 2022 | 350.68 Mn |
| Oct 2, 2021 | 353.41 Mn |
Darling Ingredients 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=DAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DAR", "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=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();