One and One Green Technologies. Inc Class A Ordinary Shares (YDDL)

FairStock Score: 45/100 — MIXED

Key Financials

AI Analysis

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

I look for a long record, honest numbers, and a durable competitive advantage. Here, the business is a Philippine scrap-metal recycler founded in 2014, with 100 employees and a $269 million market cap. At the 2026-10-13 close of $1.26, FairStock calculates a P/E of 5.48 and P/B of 1.64. The Graham Number is $2.00, giving a 37% margin of safety, and ROE is 37.76% with ROCE of 16.01%. Debt is low at D/E 0.09, and the Altman Z-Score of 12.79 looks safe. That combination—low leverage, high returns, and a low-looking price—would normally get my attention. But the quality checks are ugly: Piotroski F-Score is just 1/9, the FairStock Score is 45/100, and there is no Lynch category because only 0 years of filed annual results exist. No revenue growth, profit growth, dividend, or beta is provided. The 52-week range of $1.25 to $16.23 tells me the market has violently repriced the shares, which often signals fear, dilution, or deteriorating fundamentals. Scrap recycling is commodity-like and cyclical; without multi-year filings, I cannot tell whether returns are durable or a one-off. The price may be statistically cheap, but a Graham-style investor needs a margin of safety backed by proven earning power. Here, the balance sheet and returns are promising, yet the lack of history and weak F-Score make this speculative, not a confirmed bargain.

In plain English: One and One Green Technologies recycles scrap metal and trades recycled metals in the Philippines. The few numbers shown point to a profitable, low-debt business, but there is almost no reporting history and the quality checks are mixed. At $1.26, the price looks cheap against the stated profit and book-value figures, though that cheapness is 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