Darling Ingredients (DAR) EV to CFO (2011 - 2026)
Darling Ingredients' (DAR) EV to CFO was 8.35 for Q2 2027, up 14.3% from 7.30 a year earlier but down 37.0% 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 8.06, up 15.6% year-over-year; for FY2024, it was 6.35, down 27.9% from FY2023.
- By year, EV to CFO came in at 8.80 in FY2023 (-28.2%) and 12.25 in FY2022.
- Five-year quarterly EV to CFO spans a low of 6.06 in Q1 2026 and a high of 13.25 in Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn |
| 10 | Cal-Maine Foods | 3.16 Bn | 2.05 Bn | 34.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 8.35 |
| Apr 4, 2026 | 13.25 |
| 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 | 8.93 |
| Sep 30, 2023 | 9.00 |
| Jul 1, 2023 | 11.91 |
| Dec 31, 2022 | 11.55 |
| Jan 1, 2022 | 15.44 |
| Sep 26, 2020 | 9.47 |
| Jun 27, 2020 | 7.95 |
| Mar 28, 2020 | 8.56 |
| Dec 28, 2019 | 12.67 |
| Sep 28, 2019 | 6.69 |
| Jun 29, 2019 | 7.66 |
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();