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RJD Green, Inc (RJDG) Fair Value & Analysis

Industrials · US · Market cap $2.1M

Price$0.0055
Fair Value$0.0058
Upside+5.5%
Quality95/100
Evidence: Medium Range $0.0058 – $0.0061

Fair value as of: Jun 26, 2026

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Analysis

RJD Green, Inc (RJDG) currently trades at $0.0055, while our model-based Fair Value estimate is $0.0058 — implying the stock looks roughly 5.5% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

RJD Green, Inc., a development stage company, focuses on acquiring and managing assets and companies in green environmental, energy, and specialty contracting services sectors. The company was formerly known as Silex Holdings, Inc. and changed its name to RJD Green, Inc. in October 2014. RJD Green, Inc. was founded in 2009 and is based in Tulsa, Oklahoma.

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Frequently asked questions

Is RJD Green, Inc (RJDG) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0058 versus a price of $0.0055 — about +6% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RJDG?
Our 21-model fair value for RJD Green, Inc is $0.0058 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0055.
What is the quality score of RJDG?
RJD Green, Inc has a Quality Score of 95/100, 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.