South Dakota Soybean Processors (SDSYA) Depreciation and Depletion (2011 - 2026)
South Dakota Soybean Processors (SDSYA) recorded Depreciation and Depletion of $7.58 million in Q2 2026, up 308.0% from $1.86 million a year earlier.
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Analysis
South Dakota Soybean Processors (SDSYA) Depreciation and Depletion (2011 - 2026) Analysis & Trends
On a TTM basis, South Dakota Soybean Processors' Depreciation and Depletion came in at $15.05 million as of Jun 30, 2026, up 108.7% year-over-year; for FY2025, it was $9.33 million, up 43.1% from FY2024.
- Annual Depreciation and Depletion has increased for 13 straight years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $6.52 million in FY2024 (+11.9%), $5.83 million in FY2023 (+4.9%), $5.56 million in FY2022 (+9.2%) and $5.09 million in FY2021 (+3.7%).
- The Q2 2026 figure is the highest quarterly Depreciation and Depletion in data going back to Q3 2011.
- The year-over-year growth in Depreciation and Depletion has ranged between 1.6% (Q3 2021) and 308.0% (Q2 2026) over the last five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 233.00 Mn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | - |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 273.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | - |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | - |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | - |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 115.40 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | - |
| 10 | South Dakota Soybean Processors | 243.29 Mn | 209.03 Mn | 36.40 Mn | 7.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.58 Mn |
| Dec 31, 2025 | 3.75 Mn |
| Sep 30, 2025 | 1.86 Mn |
| Jun 30, 2025 | 1.86 Mn |
| Mar 31, 2025 | 1.86 Mn |
| Dec 31, 2024 | 1.98 Mn |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 1.52 Mn |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 1.52 Mn |
| Sep 30, 2023 | 1.46 Mn |
| Jun 30, 2023 | 1.44 Mn |
| Mar 31, 2023 | 1.41 Mn |
| Dec 31, 2022 | 1.40 Mn |
| Sep 30, 2022 | 1.39 Mn |
| Jun 30, 2022 | 1.38 Mn |
| Mar 31, 2022 | 1.39 Mn |
| Dec 31, 2021 | 1.31 Mn |
| Sep 30, 2021 | 1.25 Mn |
| Jun 30, 2021 | 1.26 Mn |
API Access
South Dakota Soybean Processors Depreciation and Depletion 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=depreciation-and-depletion&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();