Oddity Tech (ODD) Projected to Post Earnings on Tuesday

Oddity Tech (NASDAQ:ODD) is expected to post its Q1 2025 quarterly earnings results after the market closes on Tuesday, April 29th. Analysts expect Oddity Tech to post earnings of $0.63 per share and revenue of $260.71 million for the quarter.

Oddity Tech Stock Performance

NASDAQ:ODD opened at $44.25 on Monday. Oddity Tech has a 1 year low of $30.34 and a 1 year high of $51.00. The stock has a market cap of $2.47 billion, a P/E ratio of 26.98, a P/E/G ratio of 1.48 and a beta of 3.73. The stock has a 50-day simple moving average of $43.37 and a 200-day simple moving average of $43.62.

Analyst Ratings Changes

ODD has been the subject of several research reports. KeyCorp reduced their target price on Oddity Tech from $52.00 to $50.00 and set an “overweight” rating for the company in a report on Wednesday, April 16th. JMP Securities reissued a “market outperform” rating and issued a $66.00 target price on shares of Oddity Tech in a report on Tuesday, April 22nd. JPMorgan Chase & Co. reduced their target price on Oddity Tech from $56.00 to $50.00 and set an “overweight” rating for the company in a report on Tuesday, April 22nd. Bank of America boosted their target price on Oddity Tech from $50.00 to $58.00 and gave the company a “buy” rating in a report on Thursday, February 27th. Finally, Barclays upped their price objective on Oddity Tech from $42.00 to $46.00 and gave the company an “equal weight” rating in a research note on Thursday, February 27th. Three analysts have rated the stock with a hold rating and five have assigned a buy rating to the company’s stock. According to data from MarketBeat.com, the stock has an average rating of “Moderate Buy” and an average target price of $53.25.

Oddity Tech Company Profile

Oddity Tech Ltd. operates as a consumer tech company that builds digital-first brands for the beauty and wellness industries in the United States and internationally. It serves consumers worldwide through its AI-driven online platform, which uses data science, machine learning, and computer vision capabilities to identify consumer needs, and develop solutions in the form of beauty and wellness products.