$42.310
-0.436 (-1.03%)At close
Price Predictions
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PACS Prediction & Forecast by Similar Chart Analysis
Alphio's PACS stock price prediction model matches the current Pacs Group Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $41.63 (-1.60%). The 1-week path is $42.08 (-0.55%). 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 Pacs Group Inc Stock?
Pacs Group Inc is a good buy right now due to its strong recent earnings report, which showed a revenue increase to $1.43 billion, a 9.1% year-over-year growth, and an adjusted EBITDA of $166.8 million, reflecting a 25% improvement. Additionally, the forward P/E ratio of 17.92 suggests the stock is reasonably valued compared to its growth potential, and analysts have set a price target as high as $62, indicating a potential upside of 45% from the current price of $42.75. The main risk is the RSI of 27.52, indicating the stock is currently oversold, which could lead to further short-term volatility.
PACS stock price ended at $42.31 on Monday, after losing -1.03%
Pacs Group Inc (PACS) last closed at $42.31, losing -1.03%. These facts feed the 1-day and 1-week PACS price prediction above.
Forecast Drivers
Pacs Group Inc (PACS) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bullish
Similar Chart Patterns
Stocks whose recent price path most closely matches PACS, ranked by similarity.
Seasonality analysis for PACS
Historically the probability of a positive September return for PACS is 61.90%. July offers the highest probability of a positive month at 72.73%, while March 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.