Darling Ingredients (DAR) Price to Sales (2010 - 2026)
Darling Ingredients' (DAR) Price to Sales was 1.41 for Q2 2027, up 33.5% from 1.06 a year earlier but down 17.9% from the prior quarter.
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Analysis
Darling Ingredients (DAR) Price to Sales (2010 - 2026) Analysis & Trends
For FY2024, Price to Sales at Darling Ingredients was 0.93, down 20.6% from FY2023.
- Price to Sales has declined for four consecutive years.
- By year, Price to Sales came in at 1.17 in FY2023 (-23.5%), 1.53 in FY2022 (-68.4%), 4.85 in FY2021 (-35.0%) and 7.46 in FY2020 (+446.7%).
- Five-year quarterly Price to Sales spans a low of 0.87 in Q3 2026 and a high of 1.72 in Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn |
| 10 | Cal-Maine Foods | 3.11 Bn | 2.14 Bn | 403,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 1.41 |
| Apr 4, 2026 | 1.72 |
| Sep 27, 2025 | 0.87 |
| Jun 28, 2025 | 1.06 |
| Mar 29, 2025 | 0.88 |
| Dec 28, 2024 | 0.93 |
| Sep 28, 2024 | 1.02 |
| Jun 29, 2024 | 0.96 |
| Mar 30, 2024 | 1.16 |
| Dec 30, 2023 | 1.19 |
| Sep 30, 2023 | 1.22 |
| Jul 1, 2023 | 1.52 |
| Mar 31, 2023 | 1.47 |
| Dec 31, 2022 | 1.76 |
| Sep 30, 2022 | 2.47 |
| Jun 30, 2022 | 2.82 |
| Mar 31, 2022 | 5.43 |
| Sep 30, 2021 | 4.82 |
| Jun 30, 2021 | 3.82 |
| Mar 31, 2021 | 3.80 |
API Access
Darling Ingredients Price to Sales 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-sales&ticker=DAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();