$81.640
-1.763 (-2.16%)Al cierre
Predicciones de precio
Ábrelo en la app para desbloquear previsiones a más largo plazo.
Predicción y previsión de BGSI por análisis de gráficos similares
Alphio's BGSI stock price prediction model matches the current Boyd Group Services Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $80.95 (-0.85%). The 1-week path is $78.69 (-3.61%). 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.
¿Debería comprar acciones de Boyd Group Services Inc?
Boyd Group Services Inc is a good buy right now, trading at $81.50 with a forward P/E of 16.72, suggesting it is undervalued compared to its growth potential. The company has shown a strong revenue increase of 29.9% year-over-year in Q2 2026, reaching $1.013 billion, which reflects robust market performance. The main risk is its high P/E ratio of 247.44, indicating potential overvaluation concerns if growth does not continue as expected.
BGSI cerró en $81.64 el Friday, tras bajar -2.16%
Boyd Group Services Inc (BGSI) last closed at $81.64, losing -2.16%. These facts feed the 1-day and 1-week BGSI price prediction above.
Factores de la previsión
Los factores de la previsión de Boyd Group Services Inc (BGSI) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bearish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de BGSI, ordenadas por similitud.
Análisis de estacionalidad de BGSI
Historically the probability of a positive October return for BGSI is 5.26%. February offers the highest probability of a positive month at 100.00%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.