$36.890
+0.302 (+0.82%)At close
Price Predictions
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RCI Prediction & Forecast by Similar Chart Analysis
Alphio's RCI stock price prediction model matches the current Rogers Communications Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $36.46 (+0.14%). The 1-week path is $36.34 (-0.18%). 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 Rogers Communications Inc Stock?
Rogers Communications Inc (RCI) appears to be a good buy right now due to its current price of $36.59, which is below the average analyst price target of C$61. Additionally, the stock has a low forward P/E ratio of 10.53, indicating potential undervaluation. However, the company reported a significant net loss of -726 million CAD in Q2 2026, which poses a risk to its financial stability.
RCI stock price ended at $36.89 on Monday, after rising +0.82%
Rogers Communications Inc (RCI) last closed at $36.41, losing -1.30%. These facts feed the 1-day and 1-week RCI price prediction above.
Analyst Consensus
Rogers Communications Inc (RCI): 7 buy, 5 hold, 0 sell. Outlook: Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Rogers Communications Inc (RCI) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches RCI, ranked by similarity.
Seasonality analysis for RCI
Historically the probability of a positive September return for RCI is 50.00%. December offers the highest probability of a positive month at 51.16%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.