Cryoport Inc（CYRX）价格预测

$15.550

-0.437 (-2.81%)收盘时

价格预测

1-Day Price Prediction

-0.86%

1-Week Prediction

-0.99%

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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CYRX 相似图表分析预测

Alphio's CYRX stock price prediction model matches the current Cryoport Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $15.42 (-0.86%). The 1-week path is $15.40 (-0.99%). 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 Cryoport Inc 股票吗？

Cryoport Inc is a good buy right now due to its current price of $16.09, which is below several analyst price targets, including $19 from Needham and $21 from Roth Capital. The company's recent revenue growth of 16% year-over-year in Q1 2026, reaching $47.8 million, significantly exceeds estimates, showcasing strong market demand. However, the main risk is its negative net income, which was -$10.2 million in Q2 2026, indicating ongoing financial challenges that investors should monitor.

CYRX 股价于 Tuesday 收于 $15.55，此前下跌 -2.81%

Cryoport Inc (CYRX) last closed at $15.55, losing -2.81%. These facts feed the 1-day and 1-week CYRX price prediction above.

分析师一致预期

Cryoport Inc（CYRX）：买入 4、持有 0、卖出 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

预测驱动因素

Cryoport Inc（CYRX）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

Negative

Bearish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Positive

Bullish

相似图表形态

近期走势与 CYRX 最接近的股票，按相似度排序。

OWL

88.15%

-16.71%

FSLY

86.82%

-5.96%

PATH

85.93%

-10.15%

LION

85.91%

-3.97%

AVAH

85.71%

-14.03%

CYRX 季节性分析

Historically the probability of a positive September return for CYRX is 52.38%. April offers the highest probability of a positive month at 59.38%, while March 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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