Spectris plc (LON:SXS) Insider Purchases £123.27 in Stock

Spectris plc (LON:SXS) insider Angela Noon bought 3 shares of Spectris stock in a transaction dated Thursday, August 7th. The shares were bought at an average cost of GBX 4,109 ($55.24) per share, with a total value of £123.27 ($165.73).

Angela Noon also recently made the following trade(s):

• On Monday, July 7th, Angela Noon bought 4 shares of Spectris stock. The shares were bought at an average cost of GBX 3,997 ($53.74) per share, with a total value of £159.88 ($214.95).

Spectris Trading Up 0.1%

Shares of LON SXS opened at GBX 4,166 ($56.01) on Monday. Spectris plc has a 12 month low of GBX 1,877 ($25.24) and a 12 month high of GBX 4,170 ($56.06). The company has a market cap of £4.15 billion, a price-to-earnings ratio of 15.43, a P/E/G ratio of 2.74 and a beta of 0.61. The company has a quick ratio of 1.03, a current ratio of 2.36 and a debt-to-equity ratio of 4.37. The business has a fifty day simple moving average of GBX 3,641.43 and a 200-day simple moving average of GBX 2,839.73.

Spectris (LON:SXS) last announced its earnings results on Thursday, August 7th. The company reported GBX 38.40 ($0.52) EPS for the quarter. Spectris had a return on equity of 20.13% and a net margin of 20.44%. Sell-side analysts predict that Spectris plc will post 194.7972456 EPS for the current year.

Analyst Upgrades and Downgrades

Separately, Shore Capital reaffirmed a “buy” rating on shares of Spectris in a report on Wednesday, July 2nd.

About Spectris

The experts in providing insight through precision measurement.

Our purpose is to deliver value beyond measure – going beyond just the measurement.

Precision is at the heart of what we do. Spectris provides global customers with specialist insight through our high-tech instruments and test equipment, augmented by the power of our software.

Through a combination of our hardware, analytical and simulation software, we provide our customers with superior data and invaluable insights that enable them to work faster, smarter and more efficiently.

This equips them with the ability to reduce time to market, improve processes, quality and yield.