Darling Ingredients (DAR) Price to Book (2009 - 2026)
Darling Ingredients' (DAR) Price to Book stood at 1.79 in Q3 2027, up 68.5% from 1.07 a year earlier and up 6.8% from the prior quarter.
Powered by 
Analysis
Darling Ingredients (DAR) Price to Book (2009 - 2026) Analysis & Trends
For FY2026, Darling Ingredients' Price to Book came in at 1.24.
- Across earlier years, Price to Book came in at 1.19 in FY2024 (-29.7%), 1.69 in FY2023 (-34.0%) and 2.57 in FY2022 (-22.9%).
- Quarterly Price to Book has ranged from 1.07 in Q3 2026 to 2.08 in Q1 2027 over the past five years.
- On a year-over-year basis, Price to Book has increased for three consecutive quarters.
- Per Business Quant, the preceding three quarters came in at 1.68 (Q2 2027), 2.08 (Q1 2027) and 1.24 (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 | 1.79 |
| Jul 4, 2026 | 1.68 |
| Apr 4, 2026 | 2.08 |
| Jan 3, 2026 | 1.24 |
| Sep 27, 2025 | 1.07 |
| Jun 28, 2025 | 1.28 |
| Mar 29, 2025 | 1.10 |
| Dec 28, 2024 | 1.19 |
| Sep 28, 2024 | 1.30 |
| Jun 29, 2024 | 1.29 |
| Mar 30, 2024 | 1.59 |
| Dec 30, 2023 | 1.69 |
| Sep 30, 2023 | 1.86 |
| Jul 1, 2023 | 2.29 |
| Apr 1, 2023 | 2.26 |
| Dec 31, 2022 | 2.57 |
| Oct 1, 2022 | 2.89 |
| Jul 2, 2022 | 2.82 |
| Apr 2, 2022 | 3.84 |
| Jan 1, 2022 | 3.33 |
API Access
Darling Ingredients Price to Book 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-book&ticker=DAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();