LOBO TECHNOLOGIES LTD. Class A Ordinary Shares (LOBO)

FairStock Score: 44/100 — MIXED

Key Financials

AI Analysis

AI-generated, general educational analysis — not personal investment advice.

As a value investor in the Buffett-Graham tradition, I start with the business, then the balance sheet, then the price. Lobo Technologies designs and sells e-bicycles, e-mopeds, e-tricycles, e-carts, and off-highway four-wheeled shuttles in China, with only 108 employees. That is a very small operation in a capital-intensive, competitive auto manufacturing industry. I see no durable moat in the supplied data: no revenue growth figures, no profit growth figures, and the Lynch category is none because there are only 0 years of filed results, versus the 3 needed. Financial health is poor. The close on 2026-10-13 was $0.45, giving an $11.0M market cap. FairStock calculations show a P/E of -0.86, ROE of -47.40%, ROCE of -10.27%, D/E of 0.80, Piotroski 0/9, and Altman Z-Score of 0.52. Those are not the marks of a fortress balance sheet; they point to losses, weak returns, and financial distress risk. The one valuation support is P/B of 0.80, meaning the market prices the equity below accounting book value. But a cheap asset can be a value trap if the asset is eroding and the business cannot earn a profit. The 52-week range of $0.37 to $1.48 and beta of 2.61 warn that the price is volatile and currently near the low end. Growth trajectory is essentially unknown from the data. This is a speculative, unproven situation, not a high-quality compounder; any margin of safety rests almost entirely on asset value surviving.

In plain English: Lobo Technologies makes electric bicycles, mopeds, tricycles, carts, and small shuttles in China. The company is losing money and looks financially weak, with debt and poor profit measures. The shares look inexpensive compared with the company's accounting assets, but the losses and lack of a proven track record make that cheapness uncertain.

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Data as of 2026-10-13 close · note generated 2026-10-15 · model deepseek-flash

Fundamentals from company filings and market-data providers; prices are end-of-day, not real-time. AI-generated analysis is general and educational — not personal investment advice. Scoring methodology · Score test · Disclaimer