On 2016-08-05, Scripps Networks Interactive, Inc (NYSE:SNI) updated dividend disbursement of $0.25 a share for record date 2016-08-31. The dividend release date is 2016-09-10 while ex-dividend date is 2016-08-29.
Last year, Scripps Networks Interactive, Inc (NYSE:SNI) paid a total of $0.25 per share in dividend. This figure was $0.25 a share in the corresponding period a year ago representing deviation of 15%.
The experts team giving the stock forecasts has estimated price target of $70.4 on the stock. The given target price is the averaged price of 10 calls. The bullish and negative price estimates are $90 and $57, correspondingly.
Relating with the mathematical rating mechanism, Scripps Networks Interactive, Inc (NYSE:SNI) rating stands at 2.36. Quarterly earnings for period ending on 2016-09-30 can be announced by 2016-11-14. For the period ending on 2016-09-30, the projected EPS is $0.97.
Scripps Networks Interactive, Inc (NYSE:SNI) recorded EPS of $1.58 for the quarter ending on 2015-12-31. The analysts’ estimate was $1.48, demonstrating a miss of $0.1 as against actual EPS.
Earnings estimates are grounded on analysts’ prospects of firm’s viability and growth. To predict earnings, most analysts craft financial models that project potential costs and incomes. Many experts will comprise top-down basics such as currencies, economic progress rates, and other macroeconomic essentials that influence corporate evolution. They tale clue from research reports to identify about growth trends.
To know the undercurrents of the individual organizations they cover, known analysts speak to peers, customers, and suppliers. The organizations themselves make available earnings guidance that analysts bring into their plans.
To predict revenues, analysts envisage sales volume growth and gauge the prices that organizations can charge for their end products. On the cost part, they look at predicted changes in the costs of functioning the operations. Total costs cover wages, supplies utilized in production, loans interest and others. By following this in-depth process, they come up with the price estimates as well as earnings predictions for their set of clients.
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