Truist Financial analyst Neal Dingmann maintains $Apache (APA.US)$ with a buy rating, and sets the target price at $33.
According to TipRanks data, the analyst has a success rate of 64.0% and a total average return of 9.8% over the past year.
Furthermore, according to the comprehensive report, the opinions of $Apache (APA.US)$'s main analysts recently are as follows:
The reduction in the anticipated value of APA Corp. is influenced by the decision to cease North Sea operations by the close of 2029, which is a response to UK emission regulations and hastens the schedule for APA's abandonment costs.
The shares of APA Corp. are currently under pressure due to North Sea abandonment issues. Although the North Sea assets were considered neutral in terms of value, the decision to cease operations there, although expected, presents a significant reclamation burden and does not project a favorable image. Despite this, the company's 2025 plan is noted for its minimal capital requirements, which could contribute to decreasing the company's debt levels.
Note:
TipRanks, an independent third party, provides analysis data from financial analysts and calculates the Average Returns and Success Rates of the analysts' recommendations. The information presented is not an investment recommendation and is intended for informational purposes only.
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.
TipRanks provides a ranking of each analyst up to 5 stars, which is representative of all recommendations from the analyst. An analyst's past performance is evaluated on a scale of 1 to 5 stars, with more stars indicating better performance. The star level is determined by his/her total success rate and average return.
