Darling Ingredients (DAR) EV to EBITDA (2010 - 2026)
Darling Ingredients' EV to EBITDA came in at 6.14 for Q2 2027, down 20.0% from 7.68 a year earlier and down 45.8% from the prior quarter.
Darling Ingredients (DAR) EV to EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, Darling Ingredients reported EV to EBITDA of 5.93, down 19.1% year-over-year; for FY2024, it came in at 5.48, up 0.5% from FY2023.
- Going back by year, EV to EBITDA was 5.45 in FY2023 (-22.1%) and 7.00 in FY2022.
- The Q2 2027 figure represents the lowest quarterly EV to EBITDA since Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 39.10 Bn | 35.10 Bn | 1.94 Bn |
| 2 | Bunge Global | 19.94 Bn | 16.05 Bn | 1.68 Bn |
| 3 | Tyson Foods | 19.31 Bn | 15.56 Bn | 921.00 Mn |
| 4 | Jbs | 13.64 Bn | -19.63 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.42 Bn | 8.96 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.29 Bn | 2.24 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.73 Bn | 4.55 Bn | 339.75 Mn |
| 8 | Ingredion | 6.12 Bn | 2.30 Bn | 426.00 Mn |
| 9 | Seaboard | 3.68 Bn | -1.16 Bn | 221.00 Mn |
| 10 | Scotts Miracle-Gro | 3.25 Bn | 3.17 Bn | 365.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 5.96 |
| Apr 4, 2026 | 10.30 |
| Jan 3, 2026 | 7.56 |
| Sep 27, 2025 | 6.33 |
| Jun 28, 2025 | 7.62 |
| Mar 29, 2025 | 5.77 |
| Dec 28, 2024 | 5.45 |
| Sep 28, 2024 | 5.83 |
| Jun 29, 2024 | 5.07 |
| Mar 30, 2024 | 5.46 |
| Dec 30, 2023 | 5.43 |
| Sep 30, 2023 | 5.43 |
| Jul 1, 2023 | 6.35 |
| Apr 1, 2023 | 6.23 |
| Dec 31, 2022 | 6.98 |
| Oct 1, 2022 | 7.86 |
| Jul 2, 2022 | 7.57 |
| Apr 2, 2022 | 10.96 |
| Oct 2, 2021 | 10.60 |
| Jul 3, 2021 | 10.46 |
Darling Ingredients EV to EBITDA 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=ev-to-ebitda&ticker=DAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();