South Dakota Soybean Processors (SDSYA) Intangibles (2010 - 2016)
South Dakota Soybean Processors' Intangibles was $1,783 in Q4 2016, down 71.8% from $6,314 a year earlier and down 38.8% from the prior quarter.
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Analysis
South Dakota Soybean Processors (SDSYA) Intangibles (2010 - 2016) Analysis & Trends
From Q4 2010 onward, South Dakota Soybean Processors has reported Intangibles for 24 quarters.
- Intangibles shows a five-year compound annual growth rate of -29.4% (FY2011 to FY2016).
- In earlier years, Intangibles was $6,314 in FY2015 (+45.3%), $4,346 in FY2014 (-30.8%), $6,278 in FY2013 (-23.5%) and $8,210 in FY2012 (-19.0%).
- The Q4 2016 figure marks the lowest quarterly Intangibles in data going back to Q4 2010.
- Compared with a year earlier, Intangibles has declined for four straight quarters, with an average decline of 0.4% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q1 2015 (growth of 67.6%); the worst was Q3 2012 (a decline of 99.0%).
- Per Business Quant data, SDSYA's Intangibles in the three quarters before Q4 2016 was $2,915 (Q3 2016), $4,048 (Q2 2016) and $5,181 (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 1.85 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 288.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 5.48 Bn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 1.78 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 822.03 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 1.26 Bn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 798.24 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 337.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 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, 2016 | 1,783.00 |
| Sep 30, 2016 | 2,915.00 |
| Jun 30, 2016 | 4,048.00 |
| Mar 31, 2016 | 5,181.00 |
| Dec 31, 2015 | 6,314.00 |
| Sep 30, 2015 | 7,447.00 |
| Jun 30, 2015 | 8,580.00 |
| Mar 31, 2015 | 9,713.00 |
| Dec 31, 2014 | 4,346.00 |
| Sep 30, 2014 | 4,829.00 |
| Jun 30, 2014 | 5,312.00 |
| Mar 31, 2014 | 5,795.00 |
| Dec 31, 2013 | 6,278.00 |
| Sep 30, 2013 | 6,762.00 |
| Jun 30, 2013 | 7,244.00 |
| Mar 31, 2013 | 7,727.00 |
| Dec 31, 2012 | 8,210.00 |
| Sep 30, 2012 | 8,693.00 |
| Jun 30, 2012 | 9,176.00 |
| Mar 31, 2012 | 9,658.00 |
API Access
South Dakota Soybean Processors Intangibles 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=intangibles&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();