$10.510
+0.131 (+1.25%)At close
Price Predictions
Open in app to unlock longer-horizon forecasts.
XNDU Prediction & Forecast by Similar Chart Analysis
Alphio's XNDU stock price prediction model matches the current Xanadu Quantum Technologies Ltd tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.58 (+0.63%). The 1-week path is $10.73 (+2.14%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.
Should I Buy Xanadu Quantum Technologies Ltd Stock?
Xanadu Quantum Technologies Ltd (XNDU) is a good buy right now, primarily driven by its recent announcement of securing CAD $195 million in government funding for its new advanced facility, which significantly enhances its growth potential. The current price of $10.51 is well below the analyst price targets, with CIBC and Canaccord setting targets at $22 and $45 respectively, indicating substantial upside potential. Additionally, the company has a strong cash position of $312.8 million, which supports ongoing R&D investments despite a recent GAAP loss of $0.14 per share, reflecting the challenges in profitability. However, the main risk is the company's negative earnings per share (EPS) forecast, which remains at -0.03 for Q3 2024, indicating ongoing financial challenges that could impact investor sentiment.
XNDU stock price ended at $10.51 on Friday, after rising +1.25%
Xanadu Quantum Technologies Ltd (XNDU) last closed at $10.51, gaining +1.25%. These facts feed the 1-day and 1-week XNDU price prediction above.
Forecast Drivers
Xanadu Quantum Technologies Ltd (XNDU) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches XNDU, ranked by similarity.
Seasonality analysis for XNDU
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.