John E. Hyten, a director at C3.ai, Inc. (NYSE:), recently sold 5,000 shares of Class A Common Stock, according to a recent filing. The timing is notable as C3.ai’s stock trades near its 52-week high of $45.08, having surged 47% over the past six months. According to InvestingPro analysis, the stock appears overvalued at current levels, with technical indicators suggesting overbought conditions. The shares were sold at an average price of $38.3749, resulting in a total transaction value of $191,874. Following this sale, Hyten retains ownership of 263,843 shares in the company.
In a separate transaction on the same day, Hyten disposed of an additional 7,800 shares as part of a non-monetary transaction. These shares were transferred without any financial consideration, leaving him with a post-transaction total of 256,043 shares.
In other recent news, enterprise AI software provider C3 AI has been making significant strides with its financial performance and strategic collaborations. The company’s third-quarter earnings exceeded expectations, posting a revenue of $94.3 million, an 8.2% increase quarter-over-quarter. This success has been attributed to C3 AI’s performance in both the federal and commercial sectors, along with potential benefits derived from its expanded collaboration with Microsoft (NASDAQ:).
On the analyst front, Canaccord Genuity and Piper Sandler have both raised their price targets for C3 AI, while maintaining a Hold rating. Canaccord Genuity highlighted seven consecutive quarters of accelerating growth, despite expressing concerns about profitability. Conversely, JPMorgan downgraded C3 AI from Neutral to Underweight, citing concerns over uneven performance and high growth costs.
In terms of partnerships, C3 AI has expanded its collaboration with Collins Aerospace to develop AI-driven solutions for the defense and intelligence sectors. The company has also partnered with IT systems integrator ECS to enhance the U.S. Army’s intelligence processes. These recent developments underline C3 AI’s commitment to leveraging AI capabilities to enhance operational efficiency and decision-making within various sectors.
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