PriceSmart Inc（PSMT）价格预测

$169.810

+0.136 (+0.08%)收盘时

价格预测

1-Day Price Prediction

+2.09%

1-Week Prediction

-2.67%

1-Month Prediction

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2026 Prediction

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2030 Prediction

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在 App 中打开以解锁更长周期的预测。

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PSMT 相似图表分析预测

Alphio's PSMT stock price prediction model matches the current PriceSmart Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $173.36 (+2.09%). The 1-week path is $165.28 (-2.67%). 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.

该买入 PriceSmart Inc 股票吗？

PriceSmart Inc is a good buy right now, with a current price of $169.81 and a forward P/E ratio of 27.47, indicating potential for growth. The company has shown strong revenue growth, with Q3 2026 revenue reaching nearly $1.5 billion, a 12.5% year-over-year increase, and a solid gross margin of 17.70%. However, a key risk is the RSI at 49.07, indicating that the stock is neither overbought nor oversold, suggesting caution in the short term.

PSMT 股价于 Friday 收于 $169.81，此前上涨 +0.08%

PriceSmart Inc (PSMT) last closed at $169.81, gaining +0.08%. These facts feed the 1-day and 1-week PSMT price prediction above.

分析师一致预期

PriceSmart Inc（PSMT）：买入 1、持有 2、卖出 0。展望：Hold。

Sell / Buy

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

Neutral

Sell

Buy

预测驱动因素

PriceSmart Inc（PSMT）的预测驱动因素综合了相似的图表形态、季节性与移动平均线。

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Positive

Bullish

相似图表形态

近期走势与 PSMT 最接近的股票，按相似度排序。

BTBT

89.01%

-27.85%

XPEV

88.68%

-11.50%

CRSR

88.61%

+15.28%

88.48%

+26.46%

BRZE

88.43%

+17.29%

PSMT 季节性分析

Historically the probability of a positive October return for PSMT is 100.00%. May offers the highest probability of a positive month at 100.00%, while January 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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