New Risk • Mar 21
New major risk - Negative shareholders equity The company has negative equity. Total equity: -₪3.0m This is considered a major risk. Being in negative equity means that the company's liabilities exceed its assets, meaning it owes more to creditors than it has in owned assets. While this doesn't mean the company is about to collapse, in the long-term, this is unsustainable. The company may have issues meeting financial obligations, is at risk of becoming insolvent and may have difficulty raising capital, especially more debt, if needed. Currently, the following risks have been identified for the company: Major Risks Share price has been highly volatile over the past 3 months (14% average weekly change). Negative equity (-₪3.0m). Minor Risk Market cap is less than US$100m (₪287.6m market cap, or US$91.7m). Reported Earnings • Mar 21
Full year 2025 earnings released: ₪0.43 loss per share (vs ₪0.39 loss in FY 2024) Full year 2025 results: ₪0.43 loss per share (further deteriorated from ₪0.39 loss in FY 2024). Revenue: ₪34.6m (up 101% from FY 2024). Net loss: ₪16.9m (loss widened 9.1% from FY 2024). Over the last 3 years on average, earnings per share has increased by 14% per year but the company’s share price has increased by 119% per year, which means it is tracking significantly ahead of earnings growth. New Risk • Feb 27
New minor risk - Financial data availability The company's latest financial reports are more than 6 months old. Last reported fiscal period ended June 2025. This is considered a minor risk. If the company has not reported its earnings on time, it may have been delayed due to audit problems or it may be finding it difficult to reconcile its accounts. Currently, the following risks have been identified for the company: Major Risks Share price has been highly volatile over the past 3 months (13% average weekly change). Earnings have declined by 0.1% per year over the past 5 years. Minor Risks Latest financial reports are more than 6 months old (reported June 2025 fiscal period end). Market cap is less than US$100m (₪259.8m market cap, or US$82.8m). 공시 • Feb 27
Razor Labs to Report Q4, 2025 Results on Mar 16, 2026 Razor Labs announced that they will report Q4, 2025 results on Mar 16, 2026 공시 • Dec 13
Razor Labs Launches Datamind Ai™? 4.5, A Major Leap Forward in Predictive Maintenance and Fleet Management for Mining Operations Razor Labs announced the launch of DataMind AI 4.5, a powerful upgrade to its predictive maintenance platform designed for mobile fleet management and fixed assets across mining operations. Built through continuous collaboration with dozens of global mining sites, Version 4.5 delivers clearer diagnostics, faster insights, and stronger visibility for maintenance and reliability teams. Advanced Diagnostics Environment for Mining The new version provides engineers with a unified view of asset health, combining fault diagnostics derived from sensor health data with maintenance information. By bringing everything together, teams can pinpoint root causes faster and take action sooner. Full Raw Sensor Data Access for True Engineering Transparency: Version 4.5 now provides full access to raw vibration, oil, temperature, and pressure data, along with advanced envelope RMS and full-spectrum insights, including harmonics and sidebands. This enriched health data foundation supports deeper, more accurate fault diagnostics and asset health assessments for reliability engineers. For reliability engineers, this means deeper condition monitoring, more accurate diagnostics, improved failure prediction, and higher confidence for maintenance decisions. This makes DataMind AI one of the most advanced predictive maintenance and fleet monitoring platforms in the mining industry. Faster Investigations Across the Entire Mine: With upgraded thresholds, flexible alarm filtering, enhanced work-order visibility, and stronger links to investigation workflows, DataMind AI 4.5 improves day-to-day monitoring and accelerates issue resolution. Improved sensor search, timestamp comparison, and smoother navigation help teams understand events and validate equipment issues in minutes, speeding up investigations and reducing unplanned downtime across both mobile fleets and fixed plant assets. Together, these improvements deliver a highly precise and configurable monitoring and alarm system among predictive maintenance solutions. Fully Connected Predictive Maintenance Ecosystem: DataMind AI 4.5 combines raw sensor intelligence, full diagnostics, advanced alarm management, fault aggregation, AI insights, and maintenance history into one seamless experience. These improvements make DataMind AI a predictive maintenance platform that delivers deep insights, transparency, and cross-asset connectivity across mobile fleets and fixed assets across the industry. DataMind AI 4.5 is now available for all customers globally, supporting predictive maintenance for mobile fleets and fixed industrial assets. 