Darling Ingredients (DAR) Short term Debt (2010 - 2026)
Darling Ingredients' Short term Debt came in at $96.76 million for Q2 2027, up 87.4% from $51.64 million a year earlier and up 28.8% from the prior quarter.
Darling Ingredients (DAR) Short term Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Darling Ingredients' Short term Debt was $29.49 million, down 77.8% from FY2024.
- Short term Debt carries a five-year compound annual growth rate of 124.5% (FY2020 to FY2025).
- Going back by year, Short term Debt was $133.02 million in FY2024 (+119.1%), $60.7 million in FY2023 (-13.1%), $69.85 million in FY2022 (-67.8%) and $217.07 million in FY2021.
- The Q2 2027 figure represents the highest quarterly Short term Debt since Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn |
| 10 | Cal-Maine Foods | 3.22 Bn | 2.10 Bn | 34.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 96.76 Mn |
| Apr 4, 2026 | 75.10 Mn |
| Dec 31, 2025 | 29.49 Mn |
| Sep 27, 2025 | 76.91 Mn |
| Jun 28, 2025 | 51.64 Mn |
| Mar 29, 2025 | 116.63 Mn |
| Dec 28, 2024 | 133.02 Mn |
| Sep 28, 2024 | 114.33 Mn |
| Jun 29, 2024 | 92.26 Mn |
| Mar 30, 2024 | 103.08 Mn |
| Dec 30, 2023 | 60.70 Mn |
| Sep 30, 2023 | 73.86 Mn |
| Jul 1, 2023 | 88.09 Mn |
| Mar 31, 2023 | 217.28 Mn |
| Dec 31, 2022 | 69.85 Mn |
| Sep 30, 2022 | 115.51 Mn |
| Jun 30, 2022 | 165.44 Mn |
| Mar 31, 2022 | 165.36 Mn |
| Jan 1, 2022 | 24.41 Mn |
| Sep 30, 2021 | 106.42 Mn |
Darling Ingredients Short term Debt 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=short-term-debt&ticker=DAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=DAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();