(1.02%) 5 099.96 points
(0.40%) 38 240 points
(2.03%) 15 928 points
(-0.83%) $83.15
(-1.16%) $1.619
(-0.42%) $2 337.40
(0.97%) $27.52
(0.65%) $928.10
(-0.15%) $0.933
(-0.15%) $11.01
(-0.22%) $0.799
(0.00%) $92.17
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Zeta Global Holdings Corp. operates an omnichannel data-driven cloud platform that provides enterprises with consumer intelligence and marketing automation software in the United States and internationally...
Stats | |
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今日成交量 | 2.47M |
平均成交量 | 1.49M |
市值 | 2.82B |
EPS | $0 ( 2024-02-27 ) |
下一个收益日期 | ( $0 ) 2024-05-05 |
Last Dividend | $0 ( N/A ) |
Next Dividend | $0 ( N/A ) |
P/E | -10.74 |
ATR14 | $0.0120 (0.09%) |
Date | Person | Action | Amount | type |
---|---|---|---|---|
2024-04-03 | Ravella Satish | Buy | 60 000 | Class A Common Stock |
2024-04-05 | Greiner Christopher E | Buy | 5 200 | Class A Common Stock |
2024-04-05 | Greiner Christopher E | Sell | 682 | Class A Common Stock |
2024-04-03 | Greiner Christopher E | Buy | 537 500 | Performance-based restricted Stock units |
2024-04-05 | Greiner Christopher E | Sell | 5 200 | Performance-based restricted Stock units |
INSIDER POWER |
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-8.19 |
Last 100 transactions |
Buy: 7 416 565 | Sell: 9 271 268 |
音量 相关性
Zeta Global Holdings 相关性
10 最正相关 |
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10 最负相关 |
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相关性是描述两个变量之间关系的统计指标。它的取值范围为-1到1,其中-1表示完全负相关(一个变量增加,另一个变量减少),1表示完全正相关(一个变量增加,另一个变量也增加),0表示没有相关性(变量之间没有关系)。
相关性可用于分析任何两个变量之间的关系,而不仅仅是股票。它通常用于金融、经济学、心理学等领域。
Zeta Global Holdings 相关性 - 货币/商品
Zeta Global Holdings 财务报表
Annual | 2023 |
营收: | $728.72M |
毛利润: | $403.09M (55.31 %) |
EPS: | $-1.200 |
FY | 2023 |
营收: | $728.72M |
毛利润: | $403.09M (55.31 %) |
EPS: | $-1.200 |
FY | 2022 |
营收: | $590.96M |
毛利润: | $375.50M (63.54 %) |
EPS: | $-2.01 |
FY | 2021 |
营收: | $458.34M |
毛利润: | $283.62M (61.88 %) |
EPS: | $-2.11 |
Financial Reports:
No articles found.
Zeta Global Holdings
Zeta Global Holdings Corp. operates an omnichannel data-driven cloud platform that provides enterprises with consumer intelligence and marketing automation software in the United States and internationally. Its Zeta Marketing Platform analyzes billions of structured and unstructured data points to predict consumer intent by leveraging sophisticated machine learning algorithms and the industry's opted-in data set for omnichannel marketing; and Consumer Data platform ingests, analyzes, and distills disparate data points to generate a single view of a consumer, encompassing identity, profile characteristics, behaviors, and purchase intent. It also offers various types of product suites, such as opportunity explorer, and CDP+, which helps in consolidating multiple databases and internal and external data feeds and organize data based on needs and performance metrics. The company was incorporated in 2007 and is headquartered in New York, New York.
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