South Dakota Soybean Processors (SDSYA) Non Operating Interest Expenses (2010 - 2026)
South Dakota Soybean Processors (SDSYA) posted Non Operating Interest Expenses of $6.56 million for Q2 2026, up 434.5% from $1.23 million a year earlier.
South Dakota Soybean Processors (SDSYA) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at South Dakota Soybean Processors was $11.5 million, up 112.0% year-over-year; for FY2025, it was $6.09 million, down 5.1% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 41.1% (FY2020 to FY2025).
- In prior years, South Dakota Soybean Processors' Non Operating Interest Expenses was $6.42 million in FY2024 (+126.2%), $2.84 million in FY2023 (+28.7%), $2.2 million in FY2022 (+34.9%) and $1.63 million in FY2021 (+49.8%).
- The Q2 2026 figure stands as the highest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Non Operating Interest Expenses increased in four of the last seven quarters, with growth averaging 218.5%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2024, with growth of 979.1%; the weakest was Q4 2023, with a decline of 79.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 148.00 Mn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 197.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 98.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 831.22 Mn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 55.53 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 8.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 49.86 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 55.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 20.00 Mn |
| 10 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn | 6.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.56 Mn |
| Dec 31, 2025 | 2.50 Mn |
| Sep 30, 2025 | 1.21 Mn |
| Jun 30, 2025 | 1.23 Mn |
| Mar 31, 2025 | 1.15 Mn |
| Dec 31, 2024 | 1.43 Mn |
| Sep 30, 2024 | 1.62 Mn |
| Jun 30, 2024 | 1.92 Mn |
| Mar 31, 2024 | 1.45 Mn |
| Dec 31, 2023 | 132,289.00 |
| Sep 30, 2023 | 727,968.00 |
| Jun 30, 2023 | 1.06 Mn |
| Mar 31, 2023 | 920,108.00 |
| Dec 31, 2022 | 630,739.00 |
| Sep 30, 2022 | 638,690.00 |
| Jun 30, 2022 | 547,770.00 |
| Mar 31, 2022 | 387,560.00 |
| Dec 31, 2021 | 353,535.00 |
| Sep 30, 2021 | 470,522.00 |
| Jun 30, 2021 | 493,158.00 |
South Dakota Soybean Processors Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=SDSYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();