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ArborGen Holdings (RUBNF) Fair Value & Analysis

Basic Materials · US · Market cap $26.1M

Price$0.0400
Fair Value$0.0760
Upside+90.0%
Quality95/100
Evidence: Low Range $0.0600 – $0.0920

Fair value as of: Jun 26, 2026

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Analysis

ArborGen Holdings (RUBNF) currently trades at $0.0400, while our model-based Fair Value estimate is $0.0760 — implying the stock looks roughly 90.0% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: low) — always confirm before acting.

About the company

ArborGen Holdings Limited engages in the forestry genetics business. The company provides its tree seedlings under the ArborGen brand name to forestry industry primarily in the United States and Brazil. ArborGen Holdings Limited was formerly known as Rubicon Limited and changed its name to ArborGen Holdings Limited in September 2019. The company was incorporated in 2001 and is based in Auckland, New Zealand.

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Frequently asked questions

Is ArborGen Holdings (RUBNF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0760 versus a price of $0.0400 — about +90% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RUBNF?
Our 21-model fair value for ArborGen Holdings is $0.0760 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0400.
What is the quality score of RUBNF?
ArborGen Holdings 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.