ODDITY Tech (ODD) Expected to Announce Earnings on Monday

Key Points

• ODDITY Tech is set to announce its Q2 2025 earnings on August 4th, with analysts predicting earnings of $0.88 per share and revenue of $237.44 million.
• The company reported a net margin of 15.12% and revenue of $268.08 million for the previous quarter, which was better than analysts' expectations.
• Several analysts have raised their target prices for ODDITY Tech, with KeyCorp setting a new target of $90.00, reflecting positive sentiment towards the stock.

ODDITY Tech (NASDAQ:ODD - Get Free Report) is anticipated to post its Q2 2025 quarterly earnings results after the market closes on Monday, August 4th. Analysts expect ODDITY Tech to post earnings of $0.88 per share and revenue of $237.44 million for the quarter.

ODDITY Tech (NASDAQ:ODD - Get Free Report) last released its earnings results on Tuesday, April 29th. The company reported $0.69 earnings per share for the quarter, beating the consensus estimate of $0.63 by $0.06. The company had revenue of $268.08 million for the quarter, compared to the consensus estimate of $260.71 million. ODDITY Tech had a return on equity of 30.67% and a net margin of 15.12%. ODDITY Tech's quarterly revenue was up 26.7% compared to the same quarter last year. During the same period in the previous year, the business earned $0.61 earnings per share. On average, analysts expect ODDITY Tech to post $2 EPS for the current fiscal year and $1 EPS for the next fiscal year.

ODDITY Tech Trading Up 0.8%

NASDAQ ODD traded up $0.56 on Thursday, hitting $70.05. 357,091 shares of the company traded hands, compared to its average volume of 822,224. The company has a market capitalization of $3.91 billion, a price-to-earnings ratio of 40.25, a P/E/G ratio of 3.24 and a beta of 3.30. The business's 50 day moving average price is $72.38 and its 200-day moving average price is $55.99. ODDITY Tech has a 52-week low of $32.71 and a 52-week high of $79.18.

Institutional Trading of ODDITY Tech

An institutional investor recently raised its position in ODDITY Tech stock. UBS AM A Distinct Business Unit of UBS Asset Management Americas LLC raised its holdings in ODDITY Tech Ltd. (NASDAQ:ODD - Free Report) by 16.1% in the 1st quarter, according to its most recent 13F filing with the Securities & Exchange Commission. The firm owned 76,117 shares of the company's stock after buying an additional 10,582 shares during the period. UBS AM A Distinct Business Unit of UBS Asset Management Americas LLC owned approximately 0.14% of ODDITY Tech worth $3,293,000 as of its most recent SEC filing. 35.88% of the stock is currently owned by institutional investors and hedge funds.

Analyst Upgrades and Downgrades

A number of research firms have commented on ODD. Barclays raised their price target on ODDITY Tech from $60.00 to $73.00 and gave the company an "equal weight" rating in a report on Tuesday, July 15th. JPMorgan Chase & Co. boosted their price objective on ODDITY Tech from $63.00 to $85.00 and gave the stock an "overweight" rating in a research note on Tuesday, June 3rd. The Goldman Sachs Group boosted their target price on ODDITY Tech from $47.00 to $52.00 and gave the company a "neutral" rating in a research report on Thursday, May 1st. Bank of America boosted their price target on ODDITY Tech from $68.00 to $80.00 and gave the company a "buy" rating in a report on Friday, June 27th. Finally, KeyCorp boosted their price target on ODDITY Tech from $65.00 to $90.00 and gave the company an "overweight" rating in a report on Monday, July 14th. Three research analysts have rated the stock with a hold rating and five have issued a buy rating to the company. Based on data from MarketBeat.com, the stock presently has an average rating of "Moderate Buy" and an average price target of $71.75.

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.