South Dakota Soybean Processors (SDSYA) Total Liabilities (2022 - 2026)
South Dakota Soybean Processors (SDSYA) recorded Total Liabilities of $529.27 million in Q2 2026, up 67.9% from $315.19 million a year earlier.
South Dakota Soybean Processors (SDSYA) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, South Dakota Soybean Processors reported Total Liabilities of $501.56 million, up 143.5% from FY2024.
- Annual Total Liabilities has a three-year compound annual growth rate of 50.3% (FY2022 to FY2025).
- Across earlier years, Total Liabilities came in at $205.94 million in FY2024 (+62.8%), $126.5 million in FY2023 (-14.3%) and $147.66 million in FY2022.
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 29.95 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 29.44 Bn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 17.43 Bn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 37.61 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 5.68 Bn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 5.01 Bn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 6.27 Bn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | 3.55 Bn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 3.17 Bn |
| 10 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn | 529.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 529.27 Mn |
| Dec 31, 2025 | 501.56 Mn |
| Sep 30, 2025 | 386.23 Mn |
| Jun 30, 2025 | 315.19 Mn |
| Mar 31, 2025 | 250.05 Mn |
| Dec 31, 2024 | 205.94 Mn |
| Sep 30, 2024 | 198.11 Mn |
| Jun 30, 2024 | 186.03 Mn |
| Mar 31, 2024 | 197.64 Mn |
| Dec 31, 2023 | 126.50 Mn |
| Dec 31, 2022 | 147.66 Mn |
South Dakota Soybean Processors Total Liabilities 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=total-liabilities&ticker=SDSYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SDSYA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();