Atlassian Surges 5.59% on $610M AI Acquisition as $650M Trading Volume Ranks 150th in Market Activity Amid Cloud Transition Strategy
On September 9, 2025, AtlassianTEAM-- (TEAM) surged 5.59% with a trading volume of $650 million, marking a 107% increase from the prior day and ranking 150th in market activity. The rally followed the software company’s announcement of a $610 million acquisition of The Browser Company, developer of the AI-powered Dia browser, to expand its AI capabilities. The deal aligns with Atlassian’s strategic shift toward cloud services, as it plans to phase out on-premise Data Center products over six years, a move expected to accelerate cloud adoption and drive long-term revenue growth above 20% per analysts at Raymond James and Truist.
Analysts highlighted that the transition from Data Center to cloud could introduce short-term financial volatility due to changes in revenue recognition but emphasized its potential to boost customer retention and migration incentives. Existing Data Center contracts, which contributed $1.5 billion in FY2025 revenue, will wind down by 2029, with full support ending by 2032. CantorCEPT-- Fitzgerald reaffirmed an “Overweight” rating and a $240 price target, while Raymond James noted strong historical retention despite prior price hikes.
Despite the positive momentum, Atlassian’s stock remains 25.6% below its January 2025 52-week high. The stock’s recent volatility, including a 23% move greater than 5% over the past year, reflects ongoing investor scrutiny of its execution on cloud growth. While the acquisition and strategic pivot have fueled optimism, execution risks and valuation concerns—evidenced by a forward P/E of 38.8—remain key watchpoints for the market.
Backtesting of the “top-500 daily-volume” strategy requires constructing a multi-stock portfolio to calculate forward returns. Current tools support single-ticker or event-based analyses but lack native capabilities for rebalancing a 500-stock basket daily. Adjustments, such as using an ETF proxy or exporting/importing aggregated data, are recommended to proceed with the evaluation.

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