Darling Ingredients (DAR) Debt Ratio (2010 - 2026)
Darling Ingredients' Debt Ratio was 0.36 in Q2 2027, down 7.2% from 0.39 a year earlier and down 7.3% from the prior quarter.
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Analysis
Darling Ingredients (DAR) Debt Ratio (2010 - 2026) Analysis & Trends
For FY2025, Debt Ratio at Darling Ingredients came in at 0.14, down 66.4% from FY2024.
- In earlier years, Debt Ratio was 0.40 in FY2024 (+0.3%), 0.40 in FY2023 (+8.8%), 0.37 in FY2022 (+786.8%) and 0.04 in FY2021.
- The Q2 2027 figure marks the lowest quarterly Debt Ratio since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 39.05 Bn | 35.05 Bn | 1.94 Bn | 0.15 |
| 2 | Bunge Global | 19.96 Bn | 16.07 Bn | 1.68 Bn | 0.45 |
| 3 | Tyson Foods | 19.47 Bn | 15.73 Bn | 921.00 Mn | 0.22 |
| 4 | Jbs | 13.59 Bn | -19.68 Bn | 2.59 Bn | 0.49 |
| 5 | Darling Ingredients | 9.39 Bn | 8.94 Bn | 503.37 Mn | 0.36 |
| 6 | Smithfield Foods | 7.35 Bn | 2.30 Bn | 478.00 Mn | 0.17 |
| 7 | Pilgrims Pride | 6.72 Bn | 4.54 Bn | 339.75 Mn | 0.29 |
| 8 | Ingredion | 6.12 Bn | 2.30 Bn | 426.00 Mn | 0.22 |
| 9 | Seaboard | 3.66 Bn | -1.18 Bn | 221.00 Mn | 0.18 |
| 10 | Scotts Miracle-Gro | 3.25 Bn | 3.18 Bn | 365.90 Mn | 0.67 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 0.36 |
| Apr 4, 2026 | 0.39 |
| Jan 3, 2026 | 0.38 |
| Sep 27, 2025 | 0.39 |
| Jun 28, 2025 | 0.39 |
| Mar 29, 2025 | 0.39 |
| Dec 28, 2024 | 0.40 |
| Sep 28, 2024 | 0.40 |
| Jun 29, 2024 | 0.42 |
| Mar 30, 2024 | 0.41 |
| Dec 30, 2023 | 0.40 |
| Sep 30, 2023 | 0.41 |
| Jul 1, 2023 | 0.41 |
| Apr 1, 2023 | 0.43 |
| Dec 31, 2022 | 0.37 |
| Oct 1, 2022 | 0.37 |
| Jul 2, 2022 | 0.36 |
| Apr 2, 2022 | 0.26 |
| Jan 1, 2022 | 0.24 |
| Oct 2, 2021 | 0.23 |
API Access
Darling Ingredients Debt Ratio 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=debt-ratio&ticker=DAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();