South Dakota Soybean Processors (SDSYA) Inventory (2010 - 2026)
South Dakota Soybean Processors (SDSYA) posted Inventory of $152.91 million for Q2 2026, up 135.5% from $64.93 million a year earlier.
South Dakota Soybean Processors (SDSYA) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, South Dakota Soybean Processors' Inventory came in at $132.83 million, up 194.7% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- In prior years, South Dakota Soybean Processors' Inventory was $45.08 million in FY2024 (-37.4%), $72.05 million in FY2023 (-46.3%), $134.25 million in FY2022 (+41.2%) and $95.07 million in FY2021 (+36.6%).
- The Q2 2026 figure stands as the highest quarterly Inventory in data going back to Q4 2010.
- On a year-over-year basis, Inventory increased in three of the last seven quarters, with growth averaging 35.3%.
- The strongest year-over-year quarter for Inventory in the past five years was Q4 2025, with growth of 194.7%; the weakest was Q4 2023, with a decline of 46.3%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 10.59 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 15.46 Bn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 5.84 Bn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 7.00 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 605.36 Mn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 2.38 Bn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 2.03 Bn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | 1.11 Bn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 1.81 Bn |
| 10 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn | 152.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.91 Mn |
| Dec 31, 2025 | 132.83 Mn |
| Sep 30, 2025 | 81.91 Mn |
| Jun 30, 2025 | 64.93 Mn |
| Mar 31, 2025 | 66.26 Mn |
| Dec 31, 2024 | 45.08 Mn |
| Sep 30, 2024 | 75.76 Mn |
| Jun 30, 2024 | 78.03 Mn |
| Mar 31, 2024 | 81.94 Mn |
| Dec 31, 2023 | 72.05 Mn |
| Sep 30, 2023 | 92.33 Mn |
| Jun 30, 2023 | 110.10 Mn |
| Mar 31, 2023 | 127.62 Mn |
| Dec 31, 2022 | 134.25 Mn |
| Sep 30, 2022 | 146.13 Mn |
| Jun 30, 2022 | 123.20 Mn |
| Mar 31, 2022 | 122.89 Mn |
| Dec 31, 2021 | 95.07 Mn |
| Sep 30, 2021 | 128.72 Mn |
| Jun 30, 2021 | 106.97 Mn |
South Dakota Soybean Processors Inventory 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=inventory&ticker=SDSYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();