Darling Ingredients (DAR) EV to CFO (2011 - 2026)
Darling Ingredients' (DAR) EV to CFO was 6.53 for Q2 2027, down 10.6% from 7.30 a year earlier and down 38.5% from the prior quarter.
Darling Ingredients (DAR) EV to CFO (2011 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Darling Ingredients' EV to CFO came in at 6.31, down 9.5% year-over-year; for FY2026, it was 5.62.
- By year, EV to CFO came in at 6.35 in FY2024 (-27.9%), 8.80 in FY2023 (-28.2%) and 12.25 in FY2022 (-22.7%).
- Five-year quarterly EV to CFO spans a low of 5.62 in Q4 2026 and a high of 10.61 in Q1 2027.
- Per Business Quant data, the three quarters before Q2 2027 came in at 10.61 (Q1 2027), 5.62 (Q4 2026) and 6.55 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.69 Bn | 30.17 Bn | 1.89 Bn |
| 2 | Tyson Foods | 21.12 Bn | 17.37 Bn | 921.00 Mn |
| 3 | Bunge Global | 18.99 Bn | 15.90 Bn | 1.33 Bn |
| 4 | Jbs | 13.48 Bn | -1.41 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 8.10 Bn | 7.65 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.58 Bn | 2.13 Bn | 313.00 Mn |
| 7 | Pilgrims Pride | 6.86 Bn | 4.35 Bn | 333.67 Mn |
| 8 | Ingredion | 5.83 Bn | 2.00 Bn | 426.00 Mn |
| 9 | Scotts Miracle-Gro | 3.75 Bn | 3.67 Bn | 365.90 Mn |
| 10 | Seaboard | 3.67 Bn | -1.40 Bn | 132.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 6.53 |
| Apr 4, 2026 | 10.61 |
| Jan 3, 2026 | 5.62 |
| Sep 27, 2025 | 6.55 |
| Jun 28, 2025 | 7.30 |
| Mar 29, 2025 | 6.06 |
| Dec 28, 2024 | 6.35 |
| Sep 28, 2024 | 6.62 |
| Jun 29, 2024 | 6.42 |
| Mar 30, 2024 | 7.57 |
| Dec 30, 2023 | 8.80 |
| Sep 30, 2023 | 9.67 |
| Jul 1, 2023 | 11.82 |
| Apr 1, 2023 | 10.91 |
| Dec 31, 2022 | 12.25 |
| Oct 1, 2022 | 12.11 |
| Jul 2, 2022 | 13.58 |
| Apr 2, 2022 | 18.32 |
| Jan 1, 2022 | 13.80 |
| Apr 3, 2021 | 19.65 |
Darling Ingredients EV to CFO 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-cfo&ticker=DAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();