$12.050
+0.163 (+1.35%)Al cierre
Predicciones de precio
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Predicción y previsión de MATV por análisis de gráficos similares
Alphio's MATV stock price prediction model matches the current Mativ Holdings Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $11.79 (-2.14%). The 1-week path is $11.65 (-3.33%). 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 Mativ Holdings Inc?
Mativ Holdings Inc is a good buy right now due to its current price of $12.13 being significantly below its 52-week high of $15.48, indicating potential for price appreciation. Additionally, the company reported a strong Q2 2026 with net sales of $532 million, reflecting nearly 2% year-over-year growth, and a gross margin of 18.33%, which is an improvement over previous quarters. The main risk to consider is the projected impact of the Wisconsin tornado, which could reduce Q3 sales by $20 million to $25 million, but this is expected to be a manageable short-term issue.
MATV cerró en $12.05 el Tuesday, tras subir +1.35%
Mativ Holdings Inc (MATV) last closed at $12.05, gaining +1.35%. These facts feed the 1-day and 1-week MATV price prediction above.
Factores de la previsión
Los factores de la previsión de Mativ Holdings Inc (MATV) combinan patrones gráficos similares, estacionalidad y medias móviles.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bullish
Patrones gráficos similares
Acciones cuya trayectoria reciente más se parece a la de MATV, ordenadas por similitud.
Análisis de estacionalidad de MATV
Historically the probability of a positive September return for MATV is 100.00%. September offers the highest probability of a positive month at 100.00%, while June 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.