Marchex (MCHX) Expected to Post Earnings on Tuesday

Marchex (NASDAQ:MCHX) will likely be releasing its Q3 2026 results after the market closes on Tuesday, November 10th. Analysts expect Marchex to announce earnings of $0.04 per share and revenue of $16.24 million for the quarter. Investors can check the company’s upcoming Q3 2026 earnings report for the latest details on the call scheduled for Tuesday, November 10, 2026 at 5:00 PM ET.

Marchex (NASDAQ:MCHX) last released its quarterly earnings results on Wednesday, August 12th. The technology company reported ($0.01) earnings per share (EPS) for the quarter, missing analysts’ consensus estimates of $0.02 by ($0.03). Marchex had a negative net margin of 12.44% and a negative return on equity of 18.25%. The firm had revenue of $11.00 million for the quarter, compared to the consensus estimate of $11.20 million.

Marchex Stock Performance

Shares of NASDAQ MCHX traded down $0.03 during midday trading on Tuesday, hitting $1.43. 1,665 shares of the company’s stock traded hands, compared to its average volume of 24,738. Marchex has a 1 year low of $1.15 and a 1 year high of $2.00. The stock has a market capitalization of $63.40 million, a price-to-earnings ratio of -11.92 and a beta of 1.88. The firm has a fifty day moving average of $1.43 and a 200 day moving average of $1.58.

Analyst Ratings Changes

Separately, Weiss Ratings reissued a “sell (d-)” rating on shares of Marchex in a report on Thursday, October 15th. One research analyst has rated the stock with a Hold rating and one has issued a Sell rating to the stock. According to data from MarketBeat, the company presently has a consensus rating of “Reduce”.

Marchex Company Profile

Marchex, Inc is a conversational intelligence and analytics company that helps businesses understand and improve customer interactions. The company analyzes phone calls, text messages and other customer conversations to provide insights into marketing performance, sales effectiveness and service quality.

Its solutions include call tracking and attribution, conversation analytics, lead management and artificial intelligence-powered tools that identify customer intent, buying signals and opportunities for follow-up.