South Dakota Soybean Processors (SDSYA) Selling, General & Administrative (2009 - 2026)
South Dakota Soybean Processors (SDSYA) recorded Selling, General & Administrative of $2.24 million in Q2 2026, up 33.0% from $1.68 million a year earlier.
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Analysis
South Dakota Soybean Processors (SDSYA) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, South Dakota Soybean Processors' Selling, General & Administrative came in at $7.76 million as of Jun 30, 2026, up 22.7% year-over-year; for FY2025, it was $7.24 million, up 19.7% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative 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 is the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last seven quarters, with growth averaging 12.1%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 54.3% in Q2 2022, against a decline of 17.5% in Q3 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 32.98 Bn | 29.75 Bn | 1.89 Bn | 946.00 Mn |
| 2 | Tyson Foods | 21.20 Bn | 17.56 Bn | 921.00 Mn | 559.00 Mn |
| 3 | Bunge Global | 19.10 Bn | 17.51 Bn | 1.33 Bn | 605.00 Mn |
| 4 | Jbs | 13.72 Bn | -1.87 Bn | 2.41 Bn | 455.66 Mn |
| 5 | Darling Ingredients | 7.99 Bn | 7.57 Bn | 477.54 Mn | 166.89 Mn |
| 6 | Smithfield Foods | 7.58 Bn | 2.40 Bn | 313.00 Mn | 193.00 Mn |
| 7 | Pilgrims Pride | 6.72 Bn | 4.22 Bn | 333.67 Mn | 142.17 Mn |
| 8 | Ingredion | 5.73 Bn | 1.83 Bn | 399.00 Mn | - |
| 9 | Scotts Miracle-Gro | 3.79 Bn | 3.79 Bn | - | - |
| 10 | South Dakota Soybean Processors | 228.39 Mn | 543.31 Mn | 36.40 Mn | 2.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.24 Mn |
| Mar 31, 2026 | 2.30 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 |
API Access
South Dakota Soybean Processors Selling, General & Administrative 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=selling-general-and-administrative&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();