GlycoMimetics Inc

GlycoMimetics Inc(GLYC)股票分析

$15.700

-0.851 (-5.42%)收盘时

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High
17.000
Open
16.720
VWAP
16.00
Vol
1.07M
Mkt Cap
20.45M
Low
15.300
Amount
17.11M
EV/EBITDA, TTM
0.00

GlycoMimetics, Inc. is a biotechnology company. The Company has no ongoing operations, is not performing any research and development, and is preserving cash until the contemplated merger and private placement. The Company was developing a pipeline of proprietary glycomimetics, which are small molecules that mimic the structure of carbohydrates involved in important biological processes, to inhibit disease-related functions of carbohydrates such as the roles they play in cancers and inflammation.

Analyst Ratings (5)

Buy
5 Buy
0 Hold
0 Sell
Current: 15.70
最低
平均
最高

Cantor Fitzgerald

2025-03-21

目标价

Buy

TD Cowen

2024-07-26

目标价

Hold

HC Wainwright & Co.

2024-06-04

目标价

Hold

HC Wainwright & Co.

2024-05-06

目标价

Hold

HC Wainwright & Co.

2024-03-27

目标价

$8

Strong Buy

估值指标

The current forward P/E ratio for GlycoMimetics Inc (GLYC) is -0.43, compared to its 5-year average forward P/E of -2.55.

Forward P/E

Fair
5Y Average P/E
-2.55
Current P/E
-0.43
高估
0.19
低估
-5.29

Forward EV/EBITDA

Strongly Undervalued
5Y Average EV/EBITDA
0.00
Current EV/EBITDA
0.00
高估
0.00
低估
0.00

Forward P/S

Fair
5Y Average P/S
292.43
Current P/S
0.00
高估
1133.21
低估
-548.35

GLYC FAQ — answered by Alphio AI

GlycoMimetics, Inc. is a biotechnology company. The Company has no ongoing operations, is not performing any research and development, and is preserving cash until the contemplated merger and private placement. The Company was developing a pipeline of proprietary glycomimetics, which are small molecules that mimic the structure of carbohydrates involved in important biological processes, to inhibit disease-related functions of carbohydrates such as the roles they play in cancers and inflammation. It operates in the Healthcare sector (PHARMACEUTICAL PREPARATIONS industry).

5 analysts cover GLYC: 5 rate it Buy, 0 Hold and 0 Sell.

本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。

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