Flexible Solutions Q3 revenue rises
Flexible Solutions Q3 revenue rose 13% to $10.6 million, but the company reported a net loss of $503,358 due to higher costs and expenses related to new product production. The company anticipates substantial revenue from a new food contract in Q4 and expects Panama equipment installation to complete by year-end. Analysts rate the stock as a 'buy' with a 12-month price target of $11.50, 29.4% above its current price.
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Overview
- Flexible Solutions Q3 revenue rose 13% yr/yr to $10.6 mln
- Company reported Q3 net loss of $503,358 due to higher costs and expenses
- Higher costs and expenses related to new product production affected Q3 earnings
Outlook
- Company anticipates substantial revenue from new food contract in Q4
- Flexible Solutions expects Panama equipment installation to complete by year-end
- Company sees opportunities in detergent, water treatment, and food supplement markets
Result Drivers
- HIGHER COSTS - Increased costs, including tariffs and new product production expenses, negatively impacted earnings
- NEW CONTRACT PREPARATION - Significant expenses for new food contract production affected Q3 earnings
- CAPEX EXPENSES - Costs related to installation of CAPEX in Illinois and Panama were expensed, affecting current income
Key Details
Metric Beat/Mis Actual Consensu
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Estimate
Q3 Basic -$0.04
EPS
Analyst Coverage
- The current average analyst rating on the shares is “buy” and the breakdown of recommendations is 2 “strong buy” or “buy”, no “hold” and no “sell” or “strong sell”
- The average consensus recommendation for the specialty chemicals peer group is “buy”
- Wall Street’s median 12-month price target for Flexible Solutions International Inc is $11.50, about 29.4% above its November 13 closing price of $8.12
- The stock recently traded at 15 times the next 12-month earnings vs. a P/E of 10 three months ago
Press Release: For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact . (This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)
