South Dakota Soybean Processors (SDSYA) Total Current Liabilities (2010 - 2026)
South Dakota Soybean Processors (SDSYA) posted Total Current Liabilities of $157.9 million for Q2 2026, up 109.8% from $75.28 million a year earlier.
Powered by 
Analysis
South Dakota Soybean Processors (SDSYA) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, South Dakota Soybean Processors' Total Current Liabilities came in at $158.34 million, up 54.4% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, South Dakota Soybean Processors' Total Current Liabilities was $102.53 million in FY2024 (-1.1%), $103.62 million in FY2023 (-14.8%), $121.55 million in FY2022 (+8.8%) and $111.75 million in FY2021 (+4.1%).
- Quarterly Total Current Liabilities has run from a low of $72.84 million in Q1 2025 to a high of $166.7 million in Q1 2022 over five years.
- On a year-over-year basis, Total Current Liabilities increased in three of the last seven quarters, with growth averaging 14.4%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2026, with growth of 109.8%; the weakest was Q1 2025, with a decline of 41.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 20.01 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 16.73 Bn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 6.60 Bn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 11.58 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 1.12 Bn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 1.95 Bn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 2.74 Bn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | 1.26 Bn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 1.69 Bn |
| 10 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn | 157.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.90 Mn |
| Dec 31, 2025 | 158.34 Mn |
| Sep 30, 2025 | 103.57 Mn |
| Jun 30, 2025 | 75.28 Mn |
| Mar 31, 2025 | 72.84 Mn |
| Dec 31, 2024 | 102.53 Mn |
| Sep 30, 2024 | 121.18 Mn |
| Jun 30, 2024 | 118.22 Mn |
| Mar 31, 2024 | 124.61 Mn |
| Dec 31, 2023 | 103.62 Mn |
| Sep 30, 2023 | 93.31 Mn |
| Jun 30, 2023 | 121.95 Mn |
| Mar 31, 2023 | 137.94 Mn |
| Dec 31, 2022 | 121.55 Mn |
| Sep 30, 2022 | 153.62 Mn |
| Jun 30, 2022 | 144.60 Mn |
| Mar 31, 2022 | 166.70 Mn |
| Dec 31, 2021 | 111.75 Mn |
| Sep 30, 2021 | 156.84 Mn |
| Jun 30, 2021 | 163.13 Mn |
API Access
South Dakota Soybean Processors Total 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-current-liabilities&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();