South Dakota Soybean Processors (SDSYA) Capital Expenditures (2010 - 2025)
South Dakota Soybean Processors' Capital Expenditures came in at $43.77 million for Q4 2025, down 40.1% from $73.13 million a year earlier but up 23.4% from the prior quarter.
Powered by 
Analysis
South Dakota Soybean Processors (SDSYA) Capital Expenditures (2010 - 2025) Analysis & Trends
For FY2025, South Dakota Soybean Processors' Capital Expenditures was $202.16 million, up 15.1% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 112.6% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $175.7 million in FY2024 (+68.5%), $104.27 million in FY2023, $7.75 million in FY2022 (-42.3%) and $13.44 million in FY2021 (+188.9%).
- The five-year range for quarterly Capital Expenditures is $733,524 (Q1 2022) to $73.13 million (Q4 2024).
- Year-over-year, Capital Expenditures increased in four of the last six quarters, with growth averaging 29.5%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q3 2021 (growth of 183.4%), and the weakest in Q1 2022 (a decline of 58.4%).
- Business Quant data shows SDSYA's Capital Expenditures at $35.47 million (Q3 2025), $62.12 million (Q2 2025) and $60.8 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 272.00 Mn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 443.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 159.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 1.75 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 128.85 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 77.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 254.20 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 100.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 102.00 Mn |
| 10 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 43.77 Mn |
| Sep 30, 2025 | 35.47 Mn |
| Jun 30, 2025 | 62.12 Mn |
| Mar 31, 2025 | 60.80 Mn |
| Dec 31, 2024 | 73.13 Mn |
| Sep 30, 2024 | 32.61 Mn |
| Jun 30, 2024 | 47.14 Mn |
| Mar 31, 2024 | 22.82 Mn |
| Dec 31, 2023 | 51.44 Mn |
| Sep 30, 2023 | 47.92 Mn |
| Jun 30, 2023 | 3.35 Mn |
| Mar 31, 2023 | 1.56 Mn |
| Dec 31, 2022 | 4.46 Mn |
| Jun 30, 2022 | 2.56 Mn |
| Mar 31, 2022 | 733,524.00 |
| Dec 31, 2021 | 6.26 Mn |
| Sep 30, 2021 | 3.40 Mn |
| Jun 30, 2021 | 2.02 Mn |
| Mar 31, 2021 | 1.76 Mn |
| Dec 31, 2020 | 494,008.00 |
API Access
South Dakota Soybean Processors Capital Expenditures 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=capital-expenditures&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();