South Dakota Soybean Processors (SDSYA) Property, Plant & Equipment (Net) (2010 - 2026)
South Dakota Soybean Processors' Property, Plant & Equipment (Net) came in at $539.31 million for Q2 2026, up 12.9% from $477.56 million a year earlier.
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Analysis
South Dakota Soybean Processors (SDSYA) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, South Dakota Soybean Processors' Property, Plant & Equipment (Net) was $553.39 million, up 53.8% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last five years, with a five-year compound annual growth rate of 53.8% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $359.78 million in FY2024 (+105.7%), $174.93 million in FY2023 (+134.6%), $74.56 million in FY2022 (+2.8%) and $72.53 million in FY2021 (+12.9%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $67.6 million (Q3 2021) to $553.39 million (Q4 2025).
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 2.8% (Q4 2022) and 216.0% (Q2 2024) over the last five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 10.98 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 11.95 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 8.79 Bn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 14.42 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 2.83 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 3.21 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 3.76 Bn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 2.52 Bn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 2.87 Bn |
| 10 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn | 539.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 539.31 Mn |
| Dec 31, 2025 | 553.39 Mn |
| Sep 30, 2025 | 534.04 Mn |
| Jun 30, 2025 | 477.56 Mn |
| Mar 31, 2025 | 417.90 Mn |
| Dec 31, 2024 | 359.78 Mn |
| Sep 30, 2024 | 290.91 Mn |
| Jun 30, 2024 | 241.86 Mn |
| Mar 31, 2024 | 196.24 Mn |
| Dec 31, 2023 | 174.93 Mn |
| Sep 30, 2023 | 122.39 Mn |
| Jun 30, 2023 | 76.55 Mn |
| Mar 31, 2023 | 74.64 Mn |
| Dec 31, 2022 | 74.56 Mn |
| Sep 30, 2022 | 74.59 Mn |
| Jun 30, 2022 | 73.05 Mn |
| Mar 31, 2022 | 71.88 Mn |
| Dec 31, 2021 | 72.53 Mn |
| Sep 30, 2021 | 67.60 Mn |
| Jun 30, 2021 | 65.46 Mn |
API Access
South Dakota Soybean Processors Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();