Bob's Discount Furniture, Inc

Predicción y previsión de precio de Bob's Discount Furniture, Inc (BOBS)

$15.170

+0.306 (+2.02%)Al cierre

Predicciones de precio

1-Day Price Prediction
+0.92%
1-Week Prediction
-1.07%
1-Month Prediction
—
2026 Prediction
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2030 Prediction
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Ábrelo en la app para desbloquear previsiones a más largo plazo.

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Predicción y previsión de BOBS por análisis de gráficos similares

Alphio's BOBS stock price prediction model matches the current Bob's Discount Furniture, Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $15.31 (+0.92%). The 1-week path is $15.01 (-1.07%). 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 Bob's Discount Furniture, Inc?

Bob's Discount Furniture, Inc. is a good buy right now due to its current price of $14.87, which is significantly lower than the analyst price target of $22, suggesting a potential upside of approximately 48%. Additionally, the company has shown a strong gross margin of 51.50% in Q2 2026, indicating effective cost management and profitability. However, a risk to consider is the recent decline in same-store sales, which may impact future revenue growth.

BOBS cerró en $15.17 el Monday, tras subir +2.02%

Bob's Discount Furniture, Inc (BOBS) last closed at $15.17, gaining +2.02%. These facts feed the 1-day and 1-week BOBS price prediction above.

Factores de la previsión

Los factores de la previsión de Bob's Discount Furniture, Inc (BOBS) combinan patrones gráficos similares, estacionalidad y medias móviles.

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

Patrones gráficos similares

Acciones cuya trayectoria reciente más se parece a la de BOBS, ordenadas por similitud.

Análisis de estacionalidad de BOBS

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Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.

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