South Dakota Soybean Processors (SDSYA) Total Non-Current Liabilities (2010 - 2026)
South Dakota Soybean Processors' Total Non-Current Liabilities came in at $371.37 million for Q2 2026, up 54.8% from $239.92 million a year earlier.
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Analysis
South Dakota Soybean Processors (SDSYA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, South Dakota Soybean Processors' Total Non-Current Liabilities was $343.22 million, up 231.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 70.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $103.41 million in FY2024 (+351.9%), $22.88 million in FY2023 (-12.4%), $26.11 million in FY2022 (+29.8%) and $20.12 million in FY2021 (-14.8%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2024 (growth of 351.9%), and the weakest in Q3 2021 (a decline of 21.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 9.64 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 28.26 Bn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 15.41 Bn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 25.20 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 5.50 Bn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 4.82 Bn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 6.23 Bn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 3.02 Bn |
| 10 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn | 371.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.37 Mn |
| Dec 31, 2025 | 343.22 Mn |
| Sep 30, 2025 | 282.67 Mn |
| Jun 30, 2025 | 239.92 Mn |
| Mar 31, 2025 | 177.21 Mn |
| Dec 31, 2024 | 103.41 Mn |
| Sep 30, 2024 | 76.93 Mn |
| Jun 30, 2024 | 67.81 Mn |
| Mar 31, 2024 | 73.04 Mn |
| Dec 31, 2023 | 22.88 Mn |
| Sep 30, 2023 | 33.81 Mn |
| Jun 30, 2023 | 32.29 Mn |
| Mar 31, 2023 | 33.03 Mn |
| Dec 31, 2022 | 26.11 Mn |
| Sep 30, 2022 | 22.30 Mn |
| Jun 30, 2022 | 21.50 Mn |
| Mar 31, 2022 | 20.53 Mn |
| Dec 31, 2021 | 20.12 Mn |
| Sep 30, 2021 | 19.86 Mn |
| Jun 30, 2021 | 22.23 Mn |
API Access
South Dakota Soybean Processors Total Non-Current 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-non-current-liabilities&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();