"Shares of The Trade Desk are down roughly 13% to $20.41 in early Friday trading after the company posted a Q1 2026 earnings miss and issued a softer Q2 2026 outlook than the Street had hoped to see. The stock closed Thursday at $23.49, already down 38% year to date (YTD) heading into the earnings report."
"Trade Desk reported Q1 2026 revenue of $688.86 million, a year-over-year (YoY) gain of 12%. Growth has decelerated sharply from the 25% YoY pace in Q1 2025, raising fresh questions about the durability of the open-web programmatic story. Trade Desk's non-GAAP diluted EPS landed at $0.28, missing expectations by 12% and slipping from $0.33 a year earlier."
"Adjusted EBITDA margin compressed to 30%, reflecting broad-based spending on platform operations, sales and marketing, and tech development. CEO Jeff Green struck a constructive tone on the call, stating, "Despite headwinds in the macro environment, we remain confident in our ability to lead and innovate within the programmatic ecosystem." Trade Desk's Q2 guidance calls for revenue of at least $750 million."
"Both Trade Desk and AppLovin operate in digital advertising, yet their post-earnings reactions could hardly be more different. The split reflects two structural questions Wall Street is wrestling with: whether open-web programmatic ad spend is leaking to walled gardens, and whether AI-driven optimization is the new competitive moat in ad tech."
Trade Desk shares dropped about 13% to $20.41 after reporting Q1 2026 results below expectations and providing a softer Q2 2026 outlook. The company reported Q1 2026 revenue of $688.86 million, up 12% year over year, with decelerating growth from the prior year’s pace. Non-GAAP diluted EPS was $0.28, missing expectations by 12%, and adjusted EBITDA margin fell to 30% due to increased spending across platform operations, sales and marketing, and technology development. AppLovin shares rose about 6% to $498.87 after a beat-and-raise quarter. Both companies compete in digital advertising, with market focus on open-web spend versus walled gardens and AI-driven optimization as a competitive advantage.
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