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OneConstruction Group (ONEG) Fair Value & Analysis

Industrials · US · Market cap $27.8M

Price$1.56
Fair Value$1.02
Upside-34.6%
Quality91/100
Evidence: Medium Range $0.8700 – $1.19

Fair value as of: Jun 24, 2026

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Analysis

OneConstruction Group (ONEG) currently trades at $1.56, while our model-based Fair Value estimate is $1.02 — implying the stock looks roughly 34.6% overvalued today. We read business quality at 91/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).

About the company

OneConstruction Group Limited, together with its subsidiaries, provides structural steelwork for construction projects in Hong Kong. The company engages in the installation and formation of steel structures; and provides workforce services. It serves public and private sector projects, including infrastructure, and public facilities and residential developments, as well as private commercial, residential, and industrial developments. The company was founded in 2021 and is headquartered in Kowloon, Hong Kong. OneConstruction Group Limited operates as a subsidiary of Rich Plenty Limited.

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Frequently asked questions

Is OneConstruction Group (ONEG) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $1.02 versus a price of $1.56 — about −35% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ONEG?
Our 21-model fair value for OneConstruction Group is $1.02 (as of Jun 24, 2026), built from audited fundamentals. The current price is $1.56.
What is the quality score of ONEG?
OneConstruction Group has a Quality Score of 91/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.