
Xanadu Quantum Technologies Limited Class B Subordinate Voting Shares (NASDAQ:XNDU – Free Report) – Investment analysts at Northland Securities boosted their FY2026 earnings estimates for Xanadu Quantum Technologies Limited Class B Subordinate Voting Shares in a research note issued on Friday, May 15th. Northland Securities analyst N. Chokshi now forecasts that the quantum computing company will post earnings per share of ($0.48) for the year, up from their prior estimate of ($0.52). Northland Securities has a “Outperform” rating and a $43.00 price objective on the stock. The consensus estimate for Xanadu Quantum Technologies Limited Class B Subordinate Voting Shares’ current full-year earnings is ($0.52) per share.
Xanadu Quantum Technologies Limited Class B Subordinate Voting Shares (NASDAQ:XNDU – Get Free Report) last issued its earnings results on Thursday, May 14th. The quantum computing company reported ($0.28) earnings per share (EPS) for the quarter. The business had revenue of $2.83 million for the quarter, compared to the consensus estimate of $0.70 million.
Xanadu Quantum Technologies Limited Class B Subordinate Voting Shares Stock Down 10.6%
Shares of Xanadu Quantum Technologies Limited Class B Subordinate Voting Shares stock opened at $12.16 on Tuesday. Xanadu Quantum Technologies Limited Class B Subordinate Voting Shares has a 12-month low of $6.97 and a 12-month high of $42.44.
Xanadu Quantum Technologies Limited Class B Subordinate Voting Shares Company Profile
Xanadu Quantum Technologies Limited is a quantum computing company headquartered in Toronto, Canada, that develops photonics-based quantum hardware and software. The company focuses on building programmable photonic quantum processors that use light rather than superconducting qubits, and it provides cloud-based access to its systems for researchers and commercial users. Xanadu is publicly listed under the ticker XNDU on both Nasdaq and the Toronto Stock Exchange.
Its technology stack combines integrated photonic hardware, control systems, and software designed to support quantum algorithms and applications in areas such as optimization, simulation, and quantum machine learning.
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