Relx (LON:REL) Hits New 52-Week Low at $23.72

Relx Plc (LON:REL – Get Rating) shares reached a new 52-week low on Thursday . The stock traded as low as GBX 23.72 ($0.29) and last traded at GBX 2,378 ($29.02), with a volume of 1681926 shares trading hands. The stock had previously closed at GBX 2,399 ($29.27).

Analyst Upgrades and Downgrades

REL has been the subject of several research analyst reports. Barclays reaffirmed an “overweight” rating and set a GBX 2,785 ($33.98) target price on shares of Relx in a research note on Thursday, November 10th. Credit Suisse Group set a GBX 2,800 ($34.17) target price on shares of Relx in a research note on Tuesday, January 10th. JPMorgan Chase & Co. set a GBX 2,730 ($33.31) price objective on shares of Relx in a research note on Monday, January 9th. UBS Group set a GBX 2,650 ($32.34) target price on shares of Relx in a research report on Tuesday. Finally, Berenberg Bank reiterated a “hold” rating and issued a GBX 2,330 ($28.43) price target on shares of Relx in a research report on Friday, October 21st. Three investment analysts have rated the stock with a hold rating and four have issued a buy rating to the stock. According to data from MarketBeat.com, Relx has an average rating of “Moderate Buy” and a consensus price target of GBX 2,594 ($31.65).

Relx Stock Performance

The company has a debt-to-equity ratio of 189.53, a current ratio of 0.51 and a quick ratio of 0.45. The business has a 50-day simple moving average of GBX 2,322.96 and a 200-day simple moving average of GBX 2,305.25. The firm has a market capitalization of £45.19 billion and a PE ratio of 2,913.58.

Relx Company Profile

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RELX PLC provides information-based analytics and decision tools for professional and business customers in North America, Europe, and internationally. It operates through four segments: Risk; Scientific, Technical & Medical; Legal; and Exhibitions. The Risk segment offers information-based analytics and decision tools that combine public and industry specific content with technology and algorithms to assist clients in evaluating and predicting risk.