Enpro Inc（NPO）價格預測

$287.960

-8.034 (-2.79%)收盤時

價格預測

1-Day Price Prediction

+1.38%

1-Week Prediction

+1.70%

1-Month Prediction

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2026 Prediction

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2030 Prediction

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在 App 中開啟以解鎖更長週期的預測。

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NPO 相似圖表分析預測

Alphio's NPO stock price prediction model matches the current Enpro Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $291.93 (+1.38%). The 1-week path is $292.86 (+1.70%). 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.

該買進 Enpro Inc 股票嗎？

Enpro Inc is currently a hold. The stock is priced at $298.96, with a forward P/E of 33.33, indicating a high valuation compared to its earnings growth potential. Although the company reported a 17.6% increase in sales to $338.8 million and raised its full-year guidance, the RSI is at 24.093, suggesting the stock is oversold. The main risk is the recent decline in net income, which saw a significant drop in Q4 2025 to -32 million USD, indicating potential volatility ahead.

NPO 股價於 Tuesday 收在 $287.96，此前下跌 -2.79%

Enpro Inc (NPO) last closed at $287.96, losing -2.79%. These facts feed the 1-day and 1-week NPO price prediction above.

分析師一致預期

Enpro Inc（NPO）：買進 4、持有 1、賣出 0。展望：Strong Buy。

Sell / Buy

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

Strong buy

Sell

Buy

預測驅動因素

Enpro Inc（NPO）的預測驅動因素綜合了相似的圖表形態、季節性與移動平均線。

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Positive

Bullish

相似圖表形態

近期走勢與 NPO 最接近的股票，依相似度排序。

GAP

86.58%

+5.39%

MDU

86.55%

+1.22%

CVS

86.42%

+23.84%

86.37%

-42.00%

UPST

86.20%

-10.75%

NPO 季節性分析

Historically the probability of a positive September return for NPO is 76.19%. December 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.

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