South Dakota Soybean Processors (SDSYA) Cost of Revenue (2010 - 2026)
South Dakota Soybean Processors' Cost of Revenue came in at $290.52 million for Q2 2026, up 163.2% from $110.37 million a year earlier.
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Analysis
South Dakota Soybean Processors (SDSYA) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, South Dakota Soybean Processors reported Cost of Revenue of $657.63 million, up 41.3% year-over-year; for FY2025, it was $479.12 million, down 8.7% from FY2024.
- Cost of Revenue has declined in each of the last three years, though with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $525.03 million in FY2024 (-16.0%), $624.73 million in FY2023 (-3.6%), $648.12 million in FY2022 (+16.4%) and $556.68 million in FY2021 (+40.7%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q2 2010.
- Year-over-year, Cost of Revenue increased in two of the last seven quarters, with growth averaging 13.3%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2026 (growth of 163.2%), and the weakest in Q4 2024 (a decline of 22.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 20.75 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 22.36 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 12.95 Bn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 21.31 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 1.22 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 3.22 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 4.29 Bn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 1.42 Bn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 2.70 Bn |
| 10 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn | 290.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 290.52 Mn |
| Dec 31, 2025 | 140.71 Mn |
| Sep 30, 2025 | 116.04 Mn |
| Jun 30, 2025 | 110.37 Mn |
| Mar 31, 2025 | 112.01 Mn |
| Dec 31, 2024 | 114.58 Mn |
| Sep 30, 2024 | 128.37 Mn |
| Jun 30, 2024 | 141.16 Mn |
| Mar 31, 2024 | 140.92 Mn |
| Dec 31, 2023 | 147.84 Mn |
| Sep 30, 2023 | 156.83 Mn |
| Jun 30, 2023 | 172.79 Mn |
| Mar 31, 2023 | 147.27 Mn |
| Dec 31, 2022 | 171.79 Mn |
| Sep 30, 2022 | 172.73 Mn |
| Jun 30, 2022 | 150.68 Mn |
| Mar 31, 2022 | 152.91 Mn |
| Dec 31, 2021 | 150.75 Mn |
| Sep 30, 2021 | 131.80 Mn |
| Jun 30, 2021 | 157.13 Mn |
API Access
South Dakota Soybean Processors Cost of Revenue 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=cost-of-revenue&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();