Darling Ingredients (DAR) EV to FCF (2011 - 2026)
Darling Ingredients' EV to FCF was 13.13 in Q2 2027, up 19.8% from 10.96 a year earlier but down 41.8% from the prior quarter.
Darling Ingredients (DAR) EV to FCF (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Darling Ingredients' EV to FCF was 12.68 through Jul 4, 2026, up 21.2% year-over-year; for FY2024, it was 10.51, down 54.4% from FY2023.
- In earlier years, EV to FCF was 23.03 in FY2023 (-2.4%) and 23.60 in FY2022.
- Quarterly EV to FCF has moved between 9.56 (Q1 2026) and 22.56 (Q1 2027) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.51 Bn | 34.51 Bn | 1.94 Bn |
| 2 | Bunge Global | 19.78 Bn | 15.90 Bn | 1.68 Bn |
| 3 | Tyson Foods | 19.64 Bn | 15.89 Bn | 921.00 Mn |
| 4 | Jbs | 13.32 Bn | -19.95 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.40 Bn | 8.94 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.19 Bn | 2.14 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.60 Bn | 4.41 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.62 Bn | -1.23 Bn | 221.00 Mn |
| 10 | Scotts Miracle-Gro | 3.25 Bn | 3.17 Bn | 365.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 10.01 |
| Apr 4, 2026 | 18.55 |
| Jan 3, 2026 | 8.77 |
| Sep 27, 2025 | 10.64 |
| Jun 28, 2025 | 10.96 |
| Mar 29, 2025 | 9.56 |
| Dec 28, 2024 | 10.51 |
| Sep 28, 2024 | 12.77 |
| Jun 29, 2024 | 14.84 |
| Mar 30, 2024 | 16.89 |
| Dec 30, 2023 | 23.03 |
| Sep 30, 2023 | 24.19 |
| Jul 1, 2023 | 26.40 |
| Apr 1, 2023 | 22.14 |
| Dec 31, 2022 | 23.60 |
| Oct 1, 2022 | 20.08 |
| Jul 2, 2022 | 23.05 |
| Apr 2, 2022 | 29.90 |
| Jan 1, 2022 | 20.85 |
| Apr 3, 2021 | 32.92 |
Darling Ingredients EV to FCF 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-fcf&ticker=DAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();