South Dakota Soybean Processors (SDSYA) Goodwill & Intangibles (2010 - 2016)
South Dakota Soybean Processors' Goodwill & 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) Goodwill & Intangibles (2010 - 2016) Analysis & Trends
From Q4 2010 onward, South Dakota Soybean Processors has reported Goodwill & Intangibles for 24 quarters.
- Goodwill & Intangibles shows a five-year compound annual growth rate of -29.4% (FY2011 to FY2016).
- In earlier years, Goodwill & 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 Goodwill & Intangibles in data going back to Q4 2010.
- Compared with a year earlier, Goodwill & 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 Goodwill & 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 Goodwill & 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) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 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 |
| 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 |
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 Goodwill & 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=goodwill-and-intangibles&ticker=SDSYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=SDSYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();