Installed Building Products, Inc

Predicción y previsión de precio de Installed Building Products, Inc (IBP)

$245.560

+4.788 (+1.95%)Al cierre

Predicciones de precio

1-Day Price Prediction
-0.35%
1-Week Prediction
-0.51%
1-Month Prediction
2026 Prediction
2030 Prediction

Ábrelo en la app para desbloquear previsiones a más largo plazo.

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Predicción y previsión de IBP por análisis de gráficos similares

Alphio's IBP stock price prediction model matches the current Installed Building Products, Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $244.70 (-0.35%). The 1-week path is $244.31 (-0.51%). 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 Installed Building Products, Inc?

Installed Building Products Inc is a good buy right now due to its current price of $245.56 being close to the analyst price target of $250, indicating potential upside. The company has shown resilience with a gross margin of 31.94% in the latest quarter and a strong 10.15% increase over the last 20 days, suggesting positive momentum. However, the main risk is the high debt-to-equity ratio of 167.77%, which could impact financial flexibility if market conditions worsen.

IBP cerró en $245.56 el Friday, tras subir +1.95%

Installed Building Products, Inc (IBP) last closed at $245.56, gaining +1.95%. These facts feed the 1-day and 1-week IBP price prediction above.

Consenso de analistas

Installed Building Products, Inc (IBP): 7 comprar, 1 mantener, 0 vender. Perspectiva: Strong Buy.

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Strong sellSellNeutralBuyStrong buy
Strong buy
Sell
0
Buy
7

Factores de la previsión

Los factores de la previsión de Installed Building Products, Inc (IBP) combinan patrones gráficos similares, estacionalidad y medias móviles.

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Positive

Bullish

SMA 200

Negative

Bearish

Patrones gráficos similares

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

Análisis de estacionalidad de IBP

Historically the probability of a positive August return for IBP is 68.25%. September offers the highest probability of a positive month at 100.00%, while May 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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Proyecciones de precio a 10 años de IBP

MesPrecio mínimoPrecio medioPrecio máximoROI potencial
Aug 2026$133.23$164.50$186.34-33.01%
Sep 2026$181.74$182.69$189.39-25.60%
Oct 2026$153.86$181.27$206.92-26.18%
Nov 2026$177.98$178.98$194.37-27.11%
Dec 2026$162.59$162.98$174.63-33.63%

En 2026, se proyecta que Installed Building Products, Inc (IBP) oscile entre $133.23 y $206.92.

Previsión mensual de Installed Building Products, Inc para 2026

Previsión de IBP para Aug de 2026
ROI potencial: -33.01%

En Aug de 2026, se proyecta que Installed Building Products, Inc promedie $164.50, con un mínimo de $133.23 y un máximo de $186.34.

Previsión de IBP para Sep de 2026
ROI potencial: -25.60%

En Sep de 2026, se proyecta que Installed Building Products, Inc promedie $182.69, con un mínimo de $181.74 y un máximo de $189.39.

Previsión de IBP para Oct de 2026
ROI potencial: -26.18%

En Oct de 2026, se proyecta que Installed Building Products, Inc promedie $181.27, con un mínimo de $153.86 y un máximo de $206.92.

Previsión de IBP para Nov de 2026
ROI potencial: -27.11%

En Nov de 2026, se proyecta que Installed Building Products, Inc promedie $178.98, con un mínimo de $177.98 y un máximo de $194.37.

Previsión de IBP para Dec de 2026
ROI potencial: -33.63%

En Dec de 2026, se proyecta que Installed Building Products, Inc promedie $162.98, con un mínimo de $162.59 y un máximo de $174.63.

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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