Seaboard (SEB) Gains from Sales and Divestitures (2010 - 2015)
Seaboard (SEB) posted Gains from Sales and Divestitures of $1,000 for Q3 2015, down 100.0% from $5 million a year earlier and down 99.7% from the prior quarter.
Seaboard (SEB) Gains from Sales and Divestitures (2010 - 2015) Analysis & Trends
For the trailing twelve months through Oct 3, 2015, Gains from Sales and Divestitures at Seaboard was -$1.39 million; for FY2014, it was $5 million, up 25.0% from FY2013.
- Annual Gains from Sales and Divestitures shows a five-year compound annual growth rate of -21.5% (FY2009 to FY2014).
- In prior years, Seaboard's Gains from Sales and Divestitures was $4 million in FY2013 (-54.1%), $8.71 million in FY2012 (-83.5%), $52.92 million in FY2011 and $2.56 million in FY2010 (-84.8%).
- Quarterly Gains from Sales and Divestitures has run from a low of -$3.54 million in Q3 2013 to a high of $51.42 million in Q2 2011 over five years.
- On a year-over-year basis, Gains from Sales and Divestitures has declined in each of the last three quarters, with an average decline of 69.0% over the last six quarters.
- The strongest year-over-year quarter for Gains from Sales and Divestitures in the past five years was Q1 2013, with growth of 128.6%; the weakest was Q3 2015, with a decline of 100.0%.
- According to Business Quant data, Gains from Sales and Divestitures for the three prior quarters was $355,000 (Q2 2015), $144,000 (Q1 2015) and -$1.89 million (Q4 2014).
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 | Cal-Maine Foods | 3.11 Bn | 2.14 Bn | 403,000.00 |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2015 | 1,000.00 |
| Jul 4, 2015 | 355,000.00 |
| Apr 4, 2015 | 144,000.00 |
| Dec 31, 2014 | -1.89 Mn |
| Sep 27, 2014 | 5.00 Mn |
| Jun 28, 2014 | 495,000.00 |
| Mar 29, 2014 | 1.39 Mn |
| Dec 31, 2013 | 1.14 Mn |
| Sep 28, 2013 | -3.54 Mn |
| Jun 29, 2013 | 2.14 Mn |
| Mar 30, 2013 | 4.26 Mn |
| Dec 31, 2012 | 2.37 Mn |
| Sep 29, 2012 | 3.39 Mn |
| Jun 30, 2012 | 1.09 Mn |
| Mar 31, 2012 | 1.86 Mn |
| Oct 1, 2011 | 1.50 Mn |
| Jul 2, 2011 | 51.42 Mn |
| Dec 31, 2010 | -18,000.00 |
Seaboard Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=SEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "SEB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();