NXT Energy Solutions (TSE:SFD) Posts Quarterly Earnings Results

NXT Energy Solutions (TSE:SFD) issued its quarterly earnings results on Thursday. The company reported C($0.02) earnings per share for the quarter, FiscalAI reports. NXT Energy Solutions had a negative net margin of 310.81% and a negative return on equity of 91.33%.

NXT Energy Solutions Stock Performance

Shares of NXT Energy Solutions stock traded down C$0.02 on Thursday, reaching C$0.34. 57,000 shares of the company were exchanged, compared to its average volume of 16,855. The firm has a market cap of C$40.63 million, a price-to-earnings ratio of -2.43 and a beta of -0.27. NXT Energy Solutions has a 1-year low of C$0.27 and a 1-year high of C$0.93. The company has a debt-to-equity ratio of 15.21, a quick ratio of 0.35 and a current ratio of 2.34. The company’s 50-day moving average is C$0.40 and its two-hundred day moving average is C$0.38.

Insider Transactions at NXT Energy Solutions

In related news, insider Chee Pheng Cheng sold 92,500 shares of the business’s stock in a transaction that occurred on Friday, May 15th. The stock was sold at an average price of C$0.48, for a total transaction of C$44,400.00. Following the completion of the transaction, the insider owned 10,549,506 shares in the company, valued at C$5,063,762.88. The trade was a 0.87% decrease in their position. In the last ninety days, insiders sold 294,725 shares of company stock worth $126,927. Insiders own 39.71% of the company’s stock.

About NXT Energy Solutions

NXT Energy Solutions Inc is a Calgary-based technology company whose proprietary airborne SFD® survey system, applied in numerous basins around the world, uses the principles of quantum mechanics to infer stress anomalies of exploration interest. The method can be used both onshore and offshore to remotely identify areas conducive to fluid entrapment in order to recommend areas with commercial hydrocarbon and/or geothermal potential. The SFD® survey system enables our clients to focus their exploration decisions concerning land commitments, data acquisition expenditures and prospect prioritization on areas with the greatest potential.