Darling Ingredients (DAR) Other Operating Expenses (2009 - 2025)
Darling Ingredients' Other Operating Expenses was $12.58 million in Q2 2026, up 131.3% from the prior quarter.
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Analysis
Darling Ingredients (DAR) Other Operating Expenses (2009 - 2025) Analysis & Trends
For FY2024, Other Operating Expenses at Darling Ingredients came in at -$46.71 million.
- In earlier years, Other Operating Expenses was -$7.89 million in FY2023, $708.51 million in FY2021 (+12.5%) and $629.81 million in FY2020 (-76.2%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn |
| 10 | Cal-Maine Foods | 3.18 Bn | 2.21 Bn | 403,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2025 | 12.58 Mn |
| Mar 29, 2025 | 5.44 Mn |
| Dec 28, 2024 | -4.49 Mn |
| Sep 28, 2024 | 16.16 Mn |
| Jun 29, 2024 | -33.12 Mn |
| Mar 30, 2024 | -25.25 Mn |
| Dec 30, 2023 | 5.17 Mn |
| Sep 30, 2023 | -5.56 Mn |
| Jul 1, 2023 | -7.50 Mn |
| Mar 31, 2023 | 1.48 Bn |
| Sep 30, 2022 | 1.26 Bn |
| Jun 30, 2022 | 1.31 Bn |
| Mar 31, 2022 | 834.06 Mn |
| Jan 1, 2022 | 3.27 Bn |
| Sep 30, 2021 | 292.84 Mn |
| Jun 30, 2021 | 319.85 Mn |
| Mar 31, 2021 | 226.92 Mn |
| Jan 2, 2021 | 2.96 Bn |
| Sep 26, 2020 | 724.22 Mn |
| Jun 27, 2020 | 715.68 Mn |
API Access
Darling Ingredients Other Operating 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=other-operating-expenses&ticker=DAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();