Darling Ingredients (DAR) Price to Earnings (2010 - 2026)
Darling Ingredients' (DAR) Price to Earnings came in at 16.11 for Q2 2027, down 71.8% from 57.23 a year earlier and down 78.0% from the prior quarter.
Powered by 
Analysis
Darling Ingredients (DAR) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2024, Darling Ingredients' Price to Earnings stood at 19.06, up 55.2% from FY2023.
- In prior years, Darling Ingredients' Price to Earnings was 12.28 in FY2023 (-9.5%), 13.57 in FY2022 (-16.0%), 16.15 in FY2021 (+7.6%) and 15.00 in FY2020 (+2.2%).
- The Q2 2027 figure stands as the lowest quarterly Price to Earnings since Q3 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.64 Bn | 34.93 Bn | 1.94 Bn |
| 2 | Tyson Foods | 19.95 Bn | 16.31 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.82 Bn | 17.33 Bn | 1.68 Bn |
| 4 | Jbs | 13.76 Bn | -19.50 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 8.87 Bn | 8.48 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.34 Bn | 2.29 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.53 Bn | 339.75 Mn |
| 8 | Ingredion | 6.03 Bn | 2.21 Bn | 426.00 Mn |
| 9 | Seaboard | 3.73 Bn | -1.09 Bn | 221.00 Mn |
| 10 | Scotts Miracle-Gro | 3.45 Bn | 3.38 Bn | 365.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 14.92 |
| Apr 4, 2026 | 46.02 |
| Jan 3, 2026 | 95.06 |
| Sep 27, 2025 | 47.13 |
| Jun 28, 2025 | 57.23 |
| Mar 29, 2025 | 29.09 |
| Dec 28, 2024 | 19.06 |
| Sep 28, 2024 | 22.97 |
| Jun 29, 2024 | 15.81 |
| Mar 30, 2024 | 13.68 |
| Dec 30, 2023 | 12.28 |
| Sep 30, 2023 | 11.57 |
| Jul 1, 2023 | 12.95 |
| Apr 1, 2023 | 12.67 |
| Dec 31, 2022 | 13.57 |
| Oct 1, 2022 | 14.56 |
| Jul 2, 2022 | 13.69 |
| Apr 2, 2022 | 19.67 |
| Oct 2, 2021 | 22.09 |
| Jul 3, 2021 | 21.86 |
API Access
Darling Ingredients Price to Earnings 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=price-to-earnings&ticker=DAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();