$15.050
-0.558 (-3.71%)At close
Price Predictions
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NDLS Prediction & Forecast by Similar Chart Analysis
Alphio's NDLS stock price prediction model matches the current Noodles & Co tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $15.10 (+0.31%). The 1-week path is $15.66 (+4.04%). 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 Noodles & Co Stock?
Noodles & Co is a good buy right now due to its strong revenue growth and improving margins. The current price is $14.90, with a forward P/E of 18.48, indicating potential for future earnings growth. The RSI is at 61.48, suggesting the stock is in a healthy momentum phase. However, the main risk is the negative net income, which was -$3.95 million in Q2 2026, indicating ongoing challenges in profitability.
NDLS stock price ended at $15.05 on Thursday, after losing -3.71%
Noodles & Co (NDLS) last closed at $15.0500002, losing -3.71%. These facts feed the 1-day and 1-week NDLS price prediction above.
Analyst Consensus
Noodles & Co (NDLS): 1 buy, 6 hold, 2 sell. Outlook: Sell.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Noodles & Co (NDLS) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Similar Chart Patterns
Stocks whose recent price path most closely matches NDLS, ranked by similarity.
Seasonality analysis for NDLS
Historically the probability of a positive November return for NDLS is 53.49%. June offers the highest probability of a positive month at 68.33%, while February is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
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This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.