Darling Ingredients (DAR) Price to FCF (2009 - 2026)
Darling Ingredients' (DAR) Price to FCF was 8.96 for Q3 2027, down 16.0% from 10.67 a year earlier and down 11.5% from the prior quarter.
Analysis
Darling Ingredients (DAR) Price to FCF (2009 - 2026) Analysis & Trends
For FY2026, Price to FCF at Darling Ingredients was 8.79.
- By year, Price to FCF came in at 10.49 in FY2024 (-54.7%), 23.14 in FY2023 (-2.4%) and 23.70 in FY2022 (-8.6%).
- Five-year quarterly Price to FCF spans a low of 8.79 in Q4 2026 and a high of 18.63 in Q1 2027.
- Per Business Quant data, the three quarters before Q3 2027 came in at 10.12 (Q2 2027), 18.63 (Q1 2027) and 8.79 (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 | 8.96 |
| Jul 4, 2026 | 10.12 |
| Apr 4, 2026 | 18.63 |
| Jan 3, 2026 | 8.79 |
| Sep 27, 2025 | 10.67 |
| Jun 28, 2025 | 10.98 |
| Mar 29, 2025 | 9.55 |
| Dec 28, 2024 | 10.49 |
| Sep 28, 2024 | 12.84 |
| Jun 29, 2024 | 14.94 |
| Mar 30, 2024 | 17.01 |
| Dec 30, 2023 | 23.14 |
| Sep 30, 2023 | 24.29 |
| Jul 1, 2023 | 26.48 |
| Apr 1, 2023 | 22.24 |
| Dec 31, 2022 | 23.70 |
| Oct 1, 2022 | 20.15 |
| Jul 2, 2022 | 23.22 |
| Apr 2, 2022 | 29.96 |
| Jan 1, 2022 | 20.85 |
API Access
Darling Ingredients Price 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=price-to-fcf&ticker=DAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();