H&R Block, Inc. (HRB)

Industry: Other Consumer Services

Social Sentiment & Activity

Daily Sentiment Score & 7 Day Moving Average
Activity

Popular Topics & Highlights

... was startled at what he saw inside an H&R Block in Virginia Beach: a bald eagle who had ...

Tax season is around the corner. To all ...

Well today was my first day at my new job at H&R ...

... deserve on your refund! I'll even give you a free consultation and you let me know if you ...

... questions about tax credits when you make an appointment: Meanwhile, here are four tax credits ...

... Block tax pros are available to answer your questions about tax credits when you make an ...

H&R Block tax pros are available to answer your questions about tax credits when ...

... primarily due to @waveHQ. Additionally, the tax business had strong results during the U.S. ...

... H&R Block can help: . Questions? Ask me. #lovemyjob

H&R Block tax pros are available to answer your questions about tax credits when you make an appointment: Meanwhile, here are four tax credits you should be prepared to ask ...

Analysis

On Tuesday, January 21, we saw neutral social sentiment for H&R Block, Inc. (HRB). We gave it a score of -2. There was little activity, such as likes and shares, on social media.

Over the prior 7 days we calculated an average sentiment score of -6 (neutral). Over the prior 14 days our AI scored an average sentiment of -1 (neutral). And for the prior 30 days our social sentiment score for H&R Block, Inc. (HRB) is -2 (neutral).

Disclaimer

We believe social network activity can help inform investors of the positive and negative opinions people hold of a company. Social media posts are made both before and after market price fluctuations. We can make no claim of correlation or causation between market prices and social media sentiment. We make no evaluation of stock value and we can make no prediction of future prices. The information gathered on SocialSentiment.io should be only one part of a broader investment strategy.

We've trained our artificial intelligence systems from past social media posts. While tests show our predictions are usually accurate to our models, a human may come to a different conclusion for some posts.