$86.940
-2.226 (-2.56%)Al cierre
Predicciones de precio
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Predicción y previsión de LB por análisis de gráficos similares
Alphio's LB stock price prediction model matches the current LandBridge Co LLC tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $85.81 (-1.30%). The 1-week path is $80.91 (-6.94%). 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 LandBridge Co LLC?
LandBridge Co LLC is a good buy right now due to its strong financial performance, highlighted by a record revenue of $66.8 million in Q2 2026, which represents a 41% year-over-year growth. Additionally, the company has a solid gross margin of 91.76% for Q2 2026, indicating effective cost management. The current price of $86.94 is close to the analyst price target of $86 from Citi, suggesting potential for upside. The main risk is the high P/E ratio of 89.01, indicating that the stock may be overvalued if growth does not meet expectations.
LB cerró en $86.94 el Friday, tras bajar -2.56%
LandBridge Co LLC (LB) last closed at $86.94, losing -2.56%. These facts feed the 1-day and 1-week LB price prediction above.
Factores de la previsión
Los factores de la previsión de LandBridge Co LLC (LB) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bearish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de LB, ordenadas por similitud.
Análisis de estacionalidad de LB
Historically the probability of a positive August return for LB is 66.67%. May offers the highest probability of a positive month at 100.00%, while September 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.