Darling Ingredients (DAR) Price to Earnings (2009 - 2026)
Darling Ingredients' (DAR) Price to Earnings came in at 11.53 for Q3 2027, down 75.5% from 47.13 a year earlier and down 22.7% from the prior quarter.
Analysis
Darling Ingredients (DAR) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2026, Darling Ingredients' Price to Earnings stood at 95.06.
- In prior years, Darling Ingredients' Price to Earnings was 19.06 in FY2024 (+55.2%), 12.28 in FY2023 (-9.5%) and 13.57 in FY2022 (-20.9%).
- The Q3 2027 figure stands as the lowest quarterly Price to Earnings since Q3 2021.
- According to Business Quant data, Price to Earnings for the three prior quarters was 14.92 (Q2 2027), 46.02 (Q1 2027) and 95.06 (Q4 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - |
| 10 | Seaboard | 3.59 Bn | -1.46 Bn | 132.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 11.53 |
| 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 |
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_KEY
import 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();