Ice Make Refrigeration Limited Stock Analysis
Ice Make Refrigeration Limited (ICEMAKE) is a India-based company listed on NSE. This AI-powered analysis provides investment insights based on quarterly earnings reports and financial performance metrics.
Overall verdict: Hold, because Ice Make is delivering strong top-line growth but earnings quality has weakened sharply. Consolidated revenue from operations rose 38.7% YoY to Rs 15,335.91 lakh in Q3 FY26 and 37.8% YoY to Rs 41,234.94 lakh in 9M FY26, yet Q3 PAT fell 48.3% YoY to Rs 145.06 lakh and 9M PAT fell 82.2% YoY to Rs 200.53 lakh. Margin compression is visible, with Q3 PBT margin dropping to about 1.24% (from about 3.24% in Q3 FY25), while finance cost increased to Rs 385.25 lakh in Q3 (vs Rs 114.72 lakh YoY) and Rs 887.35 lakh in 9M (vs Rs 249.32 lakh). The reported numbers indicate growth momentum in sales, but weaker profitability, higher funding/depreciation burden, and subsidiary losses keep risk-reward balanced over a 6-12 month horizon.
AI Investment Score & Analysis
+ Key Strengths
- Key Risks
Forward Outlook
The filing does not announce any new project, acquisition, partnership, product launch, or capacity expansion during the quarter, so forward catalysts are limited in this report. Management commentary is largely compliance-focused, including Labour Code assessment where incremental employee liability is currently stated as not material, with further accounting impact dependent on final central/state rules. Near-term momentum is mixed: revenue growth remains strong (+38.7% YoY in Q3), but earnings momentum is decelerating as PAT and EPS have declined sharply versus last year. Over the next 2-4 quarters, the key monitorables from this report are margin recovery, finance-cost normalization, and whether subsidiary losses/negative net worth begin to improve.
Detailed AI Analysis by Provider
Ice Make Refrigeration's Q3 FY2026 results show significant profitability deterioration despite revenue growth. Consolidated revenue grew 38.7% YoY to Rs 15,335.91 lakhs, but profit collapsed 48.4% from Rs 280.79 lakhs to Rs 145.06 lakhs due to margin compression. Nine-month profit declined 82.2% from Rs 1,124.01 lakhs to Rs 200.53 lakhs, indicating sustained weakness. Finance costs tripled to Rs 385.25 lakhs (from Rs 114.72 lakhs YoY), and depreciation doubled to Rs 428.32 lakhs, reflecting leveraged expansion without commensurate profitability. The subsidiary Icebest Private Limited continues incurring losses with negative net worth, requiring ongoing parental support and raising going concern questions.
Forward Outlook
The report contains no forward-looking statements regarding new projects, capacity expansions, strategic initiatives, or guidance for upcoming quarters. The auditor's emphasis on the going concern basis for loss-making subsidiary Icebest and the requirement for continued parental support signals operational challenges in the group structure. Based on observed momentum, the company appears to be prioritizing revenue growth through debt-funded expansion (evidenced by tripled finance costs and doubled depreciation), but this strategy has resulted in severe margin compression with nine-month profit declining 82% despite 38% revenue growth. Without explicit catalysts or turnaround plans disclosed in the report, the trajectory suggests continued profitability pressure in coming quarters as the company digests recent capex while servicing elevated debt levels.
Strengths
Risks
Overall verdict: Hold, because Ice Make is delivering strong top-line growth but earnings quality has weakened sharply. Consolidated revenue from operations rose 38.7% YoY to Rs 15,335.91 lakh in Q3 FY26 and 37.8% YoY to Rs 41,234.94 lakh in 9M FY26, yet Q3 PAT fell 48.3% YoY to Rs 145.06 lakh and 9M PAT fell 82.2% YoY to Rs 200.53 lakh. Margin compression is visible, with Q3 PBT margin dropping to about 1.24% (from about 3.24% in Q3 FY25), while finance cost increased to Rs 385.25 lakh in Q3 (vs Rs 114.72 lakh YoY) and Rs 887.35 lakh in 9M (vs Rs 249.32 lakh). The reported numbers indicate growth momentum in sales, but weaker profitability, higher funding/depreciation burden, and subsidiary losses keep risk-reward balanced over a 6-12 month horizon.
Forward Outlook
The filing does not announce any new project, acquisition, partnership, product launch, or capacity expansion during the quarter, so forward catalysts are limited in this report. Management commentary is largely compliance-focused, including Labour Code assessment where incremental employee liability is currently stated as not material, with further accounting impact dependent on final central/state rules. Near-term momentum is mixed: revenue growth remains strong (+38.7% YoY in Q3), but earnings momentum is decelerating as PAT and EPS have declined sharply versus last year. Over the next 2-4 quarters, the key monitorables from this report are margin recovery, finance-cost normalization, and whether subsidiary losses/negative net worth begin to improve.
Strengths
Risks
Score History
Score Timeline
All Scores
| Date | Report | Score | Sentiment | AI | |
|---|---|---|---|---|---|
| Feb 14, 2026 | Ice Make Refrigeration Limited - Financial Results (14/2/2026) | 4.5 | Sell | Claude | |
| Feb 14, 2026 | Ice Make Refrigeration Limited - Financial Results (14/2/2026) | 5.4 | Hold | ChatGPT |
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Frequently Asked Questions
What is the AI Stock Score?
The AI Stock Score is a composite rating from 0-10 generated by analyzing quarterly earnings reports using three leading AI models (Google Gemini, Anthropic Claude, and OpenAI ChatGPT). Each AI independently evaluates financial performance, growth prospects, risks, and market positioning to provide an objective investment perspective.
How should I interpret Buy/Hold/Sell ratings?
Buy (7.0-10.0): Strong fundamentals and positive outlook. Hold (4.0-6.9): Mixed signals, suitable for existing positions. Sell (0-3.9): Deteriorating fundamentals or significant risks. These are AI-generated opinions for informational purposes only, not investment advice.
How is the composite score calculated?
The composite score is the mathematical average of the latest scores from each AI provider. For example, if Gemini rates 7.5, Claude rates 4.5, and ChatGPT rates 6.0, the composite score would be (7.5+4.5+6.0)/3 = 6.0. This multi-AI approach reduces bias from any single model.
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