TD Cowen analyst Jared Levine maintains $Paylocity (PCTY.US)$ with a buy rating, and maintains the target price at $208.
According to TipRanks data, the analyst has a success rate of 53.3% and a total average return of -1.5% over the past year.
Furthermore, according to the comprehensive report, the opinions of $Paylocity (PCTY.US)$'s main analysts recently are as follows:
The firm views Paylocity's fiscal Q1 results as a modest positive for the stock, noting that the company delivered a robust performance and raised guidance following a previous tempering of sales expectations.
The firm has revised its estimates following Paylocity's stronger than expected performance in the first quarter along with an improved growth forecast that extends to both ex-float and float revenue streams.
Paylocity delivered financial results for Q1 that surpassed expectations, with the company's sales and demand commentary demonstrating improved and more predictable trends compared to recent quarters. The business appears to have regained its usual level of predictability, exhibiting a more consistent pattern of outperforming and raising expectations, even amidst challenging macro sales conditions.
Note:
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Success rate is the number of the analyst's successful ratings, divided by his/her total number of ratings over the past year. A successful rating is one based on if TipRanks' virtual portfolio earned a positive return from the stock. Total average return is the average rate of return that the TipRanks' virtual portfolio has earned over the past year. These portfolios are established based on the analyst's preliminary rating and are adjusted according to the changes in the rating.
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TD Cowen分析师Jared Levine维持$Paylocity (PCTY.US)$买入评级，维持目标价208美元。
根据TipRanks数据显示，该分析师近一年总胜率为53.3%，总平均回报率为-1.5%。
此外，综合报道，$Paylocity (PCTY.US)$近期主要分析师观点如下：
该公司将paylocity的财季第1季度业绩视为股票的小幅增长，指出该公司表现强劲，并在前一轮销售预期降低后，提高了业务指引。
该公司已调整其估计值，以反映paylocity在第一季度表现比预期更强劲，以及改善的增长预测延伸至无浮动和浮动营业收入流。
paylocity公布了第1季度的财务业绩，超出了预期，公司的销售和需求评论表明，与最近几个季度相比，展示了改善和更可预测的趋势。业务似乎已恢复到通常水平的可预测性，展现了更一致的超越预期和提高预期的模式，即使在具有挑战性的宏观销售环境中也是如此。
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TipRanks提供每位分析师的星级，分析师星级代表分析师所有推荐的过往表现，通过分析师的总胜率和平均回报率综合计算得出，星星越多，则该分析师过往表现越优异，最高为5颗星。
分析师总胜率为近一年分析师的评级成功次数占总评级次数的比率。评级的成功与否，取决于TipRanks的虚拟投资组合是否从该股票中产生正回报。
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