South Dakota Soybean Processors (SDSYA) Operating Expenses (2010 - 2026)
South Dakota Soybean Processors (SDSYA) reported Operating Expenses of $2.24 million for Q2 2026, up 33.0% from $1.68 million a year earlier.
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Analysis
South Dakota Soybean Processors (SDSYA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, South Dakota Soybean Processors' Operating Expenses came in at $7.76 million, up 22.7% year-over-year; for FY2025, it came in at $7.24 million, up 19.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $6.05 million in FY2024 (-6.7%), $6.49 million in FY2023 (+14.4%), $5.67 million in FY2022 (+23.5%) and $4.59 million in FY2021 (+20.2%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year over year, Operating Expenses gained in five of the last seven quarters, with growth averaging 12.1%.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 54.3%); the low point was Q3 2024 (a decline of 17.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 121.00 Mn |
| 10 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn | 2.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.24 Mn |
| Dec 31, 2025 | 1.96 Mn |
| Sep 30, 2025 | 1.87 Mn |
| Jun 30, 2025 | 1.68 Mn |
| Mar 31, 2025 | 1.72 Mn |
| Dec 31, 2024 | 1.66 Mn |
| Sep 30, 2024 | 1.25 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 1.63 Mn |
| Dec 31, 2023 | 1.98 Mn |
| Sep 30, 2023 | 1.52 Mn |
| Jun 30, 2023 | 1.41 Mn |
| Mar 31, 2023 | 1.58 Mn |
| Dec 31, 2022 | 1.54 Mn |
| Sep 30, 2022 | 1.25 Mn |
| Jun 30, 2022 | 1.48 Mn |
| Mar 31, 2022 | 1.40 Mn |
| Dec 31, 2021 | 1.29 Mn |
| Sep 30, 2021 | 1.22 Mn |
| Jun 30, 2021 | 956,806.00 |
API Access
South Dakota Soybean Processors Operating 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=operating-expenses&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();