LiDAR Advancements Will Expand Robotics And Smart Cities

Key Takeaways

• Successful expansion into non-automotive markets and up the value chain is improving margins and long-term growth prospects.
  
• Operational efficiencies and cost controls are driving profitability gains and setting a path toward sustainable earnings.
  
• Heavy customer concentration, sinking prices, high R&D costs, and persistent losses threaten profitability and sustainability amid rising competition and uncertain support for margins.

Catalysts

An investment holding company, provides LiDAR and perception solutions in the People’s Republic of China, the United States, and internationally.

• The company's rapid increase in sales of LiDAR products for robotics and non-automotive applications (up 185% in revenue and more than 5x in units sold year-over-year), along with significant gross margin improvement in this segment (from 26.1% to 45%), points to successful expansion into new growth markets like robotics and smart cities, positioning Robosense to benefit from the wider adoption of intelligent infrastructure and automation-a trend likely to drive long-term revenue and margin growth.
  
• Ongoing global transition toward automation, road safety, and regulatory tightening is supporting sustained demand for advanced LiDAR in automotive ADAS, even amid short-term sales declines to certain OEMs; as industry regulations strengthen and autonomous and electric vehicle adoption accelerates, Robosense's long-term addressable market and revenue potential remain robust despite recent volatility.
  
• The company's ability to reduce raw material procurement costs-and the successful roll-out of its in-house developed SOC processing chips, which have lower costs than third-party alternatives-has led to marked gross margin improvements (overall gross margin rising from 13.6% to 25.9% YoY), supporting a structural improvement in profitability and better operating leverage for future earnings.
  
• Demand for higher-value, customized perception solutions is rising sharply, as evidenced by a 43.5% increase in solutions revenue and a near 4x jump in average project size; this indicates that Robosense is successfully moving up the value chain, supporting both revenue per customer and long-term margin potential.
  
• Prudent cost management-with year-over-year reductions in R&D, sales & marketing, and G&A expenses as a percentage of revenue-combined with operational scale, has enabled a 44.5% narrowing of net losses, suggesting the company is on a credible path toward sustainable earnings growth as top-line expansion continues in both automotive and non-automotive markets.

Robosense Technology Future Earnings and Revenue Growth

Assumptions

• Analysts are assuming Robosense Technology's revenue will grow by 51.3% annually over the next 3 years.
• Analysts assume that profit margins will increase from -21.3% today to 13.3% in 3 years time.
• Analysts expect earnings to reach CN¥785.5 million (and earnings per share of CN¥1.59) by about August 2028, up from CN¥-363.7 million today.
• In order for the above numbers to justify the analysts price target, the company would need to trade at a PE ratio of 26.0x on those 2028 earnings, up from -45.1x today. This future PE is greater than the current PE for the HK Electronic industry at 12.1x.
• Analysts expect the number of shares outstanding to decline by 7.0% per year for the next 3 years.
• To value all of this in today's terms, we will use a discount rate of 8.42%, as per the Simply Wall St company report.

Robosense Technology Future Earnings Per Share Growth

Risks

• The significant decline in revenue and unit sales of LiDAR products for ADAS applications (down 17.9% in revenue and with both major OEM customers reducing procurement or ceasing installation) highlights high customer concentration risk and instability in core automotive revenue streams, which will likely depress long-term revenue and earnings if not offset by new major automotive partnerships or verticals.
  
• The sharp drop in average selling prices for both ADAS (from RMB 2,600 to RMB 2,300 per unit) and robotics LiDAR products (from RMB 8,700 to RMB 4,800 per unit) suggests increased price pressure, potential commoditization risk, or weaker pricing power-posing a long-term threat to margins even as production scales.
  
• Significant R&D expenses remain elevated (36.3% of revenue), and while gross margins have improved with scale and cost reductions, persistent spending well above industry averages could weigh on net profitability and limit future free cash flow, especially if revenue growth continues to slow in core markets.
  
• Dependence on government grants and favorable cost reductions (e.g., procurement or chip design) to achieve margin improvements may not be sustainable in the long-run, putting future gross margin gains at risk if industry-wide input costs rise or subsidies decline.
  
• Ongoing net losses-even with improvements year-on-year-and decreasing finance income indicate continuing structural challenges to core profitability, raising concerns about the company's ability to achieve sustainable, long-term earnings growth or positive net margins in a highly competitive and rapidly evolving LiDAR market.

Valuation

• The analysts have a consensus price target of HK$45.855 for Robosense Technology based on their expectations of its future earnings growth, profit margins and other risk factors. However, there is a degree of disagreement amongst analysts, with the most bullish reporting a price target of HK$56.22, and the most bearish reporting a price target of just HK$28.56.
  
• In order for you to agree with the analyst's consensus, you'd need to believe that by 2028, revenues will be CN¥5.9 billion, earnings will come to CN¥785.5 million, and it would be trading on a PE ratio of 26.0x, assuming you use a discount rate of 8.4%.
  
• Given the current share price of HK$37.7, the analyst price target of HK$45.85 is 17.8% higher.
  
• We always encourage you to reach your own conclusions though. So sense check these analyst numbers against your own assumptions and expectations based on your understanding of the business and what you believe is probable.