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Q2 2019 EPS Estimates for Malibu Boats Inc Increased by Analyst (MBUU) - Fairfield Current

Malibu Boats Inc (NASDAQ:MBUU) – Research analysts at SunTrust Banks upped their Q2 2019 earnings per share (EPS) estimates for Malibu Boats in a report issued on Tuesday, November 6th. SunTrust Banks analyst M. Swartz now anticipates that the company will post earnings of $0.73 per share for the quarter, up from their prior forecast of $0.68. SunTrust Banks has a “Buy” rating and a $60.00 price objective on the stock. SunTrust Banks also issued estimates for Malibu Boats’ Q3 2019 earnings at $1.00 EPS, Q4 2019 earnings at $0.93 EPS and FY2019 earnings at $3.32 EPS.

Malibu Boats (NASDAQ:MBUU) last announced its quarterly earnings results on Tuesday, November 6th. The company reported $0.67 EPS for the quarter, beating the Thomson Reuters’ consensus estimate of $0.54 by $0.13. The company had revenue of $123.50 million for the quarter, compared to analyst estimates of $113.67 million. Malibu Boats had a net margin of 6.39% and a return on equity of 47.34%. The firm’s revenue was up 19.3% on a year-over-year basis. During the same period in the prior year, the firm posted $0.31 earnings per share.


Sharks are getting bigger than ever - Fox News

It was the third serious attack there in the past two months after Tasmanian woman Justine Barwick and Victorian 12-year-old Hannah Papps were bitten in separate incidents in September.

Tourism Minister Kate Jones and Fisheries Minister Mark Furner met with local tourism operators and marine experts, as well as the Whitsundays council.

Despite scientists warning against drumlines and culling sharks, a north Queensland commercial fisherman warned the downturn in the area’s trawler industry had made sharks “bigger and fatter”.

“When you actually talk to any commercial fishermen, these animals are now getting larger and larger by the year and they’re educated to follow boats,” Bruce Batch told the ABC.

“They know if they follow a boat they’re going to get a feed.”

Mr. Batch, who has worked in the region for over four decades, said any fisherman in north Queensland would say there’s a “massive” shark problem in the area but he didn’t think there was an easy solution to the problem.

The commercial fisherman said Queensland used to fish 1200 tonnes of sharks a year — but that all changed under the former federal Labor environment minister Peter Garrett.

“Those sharks have had now 10 to 15 years to grow,” he said.

Mr. Krause is expected to propose an education program at the meeting, similar to the government’s “croc-wise” program which is used in crocodile habitat areas of the state.

The program will encourage people to avoid the water at dusk and dawn, warn against boaties throwing food scraps over the sides of their vessels and for swimmers to avoid murky water or anchorages such as Cid Harbour.

Queensland’s LNP opposition wants a parliamentary review in the wake of the incidents.

The government is installing signs warning people not to swim at Cid Harbour.

This story originally appeared in .


Making wind farms more efficient - Science Daily

Wind energy is on the rise, and not just in the US," said Mohammad Rasouli, assistant professor of electrical engineering at Penn State Erie, the Behrend College. "The efficiency of solar panels is less than 25 percent, and is still a subject of current research. Wind turbines, on the other hand, are much more efficient and convert over 45 percent of the wind energy to electricity."

Though wind turbines are efficient, wind farm layouts can reduce this efficiency if not properly designed. Builders do not always put turbines in the places with the highest wind speeds, where they will generate the most power, said Rasouli. Turbine spacing is also important -- because turbines create drag that lowers wind speed, the first turbines to catch the wind will generate more power than those that come after.

To build more efficient wind farms, designers must take these factors into account wind speed and turbine spacing, as well as land size, geography, number of turbines, amount of vegetation, meteorological conditions, building costs, and other considerations, according to the researchers.

Balancing all of these factors to find an optimum layout is difficult, even with the assistance of mathematical models.

"This is a multi-objective approach," said Rasouli. "We have a function and we want to optimize it while taking into account various constraints."

The researchers focused on one approach, called "biogeographical-based optimization." Created in 2008 and inspired by nature, BBO is based on how animals naturally distribute themselves to make the best use of their environment based on their needs. By creating a mathematical model from animal behavior, it is then possible for the researchers to calculate the optimal distribution of objects in other scenarios, such as turbines on a wind farm.

"Analytical methods require a lot of computation," said Rasouli. "This BBO method minimizes computation and gives better results, finding the optimum solution at less computational cost."

Other researchers used simplified versions of the BBO approach in 2017 and 2018 to calculate more efficient wind farm layouts, but these simplified versions did not take into account all factors affecting the optimum layout.

The researchers from Penn State and the University of Tabriz completed the approach by incorporating additional variables, including real market data, the roughness of the surface -- which affects how much power is in the wind -- and how much wind each turbine receives.

The research team also improved the BBO approach by incorporating a more realistic model for calculating wakes -- areas with slower wing speeds created after the wind blows past a turbine, similar to the wake behind a boat -- and testing how sensitive the model was to other factors such as interest rates, financial incentives, and differences in energy production costs. They report their results online in the Journal of Cleaner Production , which will be published in November.

"This is a more realistic optimization approach compared to some of the simplifying methods that are out there," said Rasouli. "This would be better to customers, to manufacturers, and to grid-style, larger-size wind farms."

By incorporating more data, such as updated meteorological records and manufacturer information, the researchers will be able to use the BBO approach to optimize wind farm layouts in many different locations, helping wind farm designers across the world make better use of their land and generate more energy to meet future energy demands from consumers.

"There is an end time for fossil fuels," said Rasouli. "With this and upcoming methods or better optimization approaches, we can make better use of wind energy."


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