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Raksul Inc (RKSLF) Fair Value & Analysis

Industrials · US · Market cap $540M

Price$9.06
Fair Value$7.32
Upside-19.2%
Quality95/100
Evidence: High Range $4.43 – $9.51

Fair value as of: Jun 24, 2026

Analysis

Raksul Inc (RKSLF) currently trades at $9.06, while our model-based Fair Value estimate is $7.32 — implying the stock looks roughly 19.2% overvalued today. We read business quality at 95/100 (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: high).

About the company

Raksul Inc. engages in the provision of printing services in Japan. The company offers various printing services, such as newspaper inserts and posting, apparel and uniforms, custom merchandise, other services; cardboard boxes, packaging materials; stamps, seals; and tote bags, and eco-bags. It also offers advertising services. In addition, the company operates a platform connecting shippers and trucking companies, as well as DX business for shippers; integrated IT device, SaaS management service; website development SaaS. Raksul Inc. was incorporated in 2009 and is headquartered in Minato, Japan. As of March 10, 2026, Raksul Inc. operates as a subsidiary of R2 Inc.

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Frequently asked questions

Is Raksul Inc (RKSLF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $7.32 versus a price of $9.06 — about −19% (overvalued). Model-based estimate, not financial advice.
What is the fair value of RKSLF?
Our 21-model fair value for Raksul Inc is $7.32 (as of Jun 24, 2026), built from audited fundamentals. The current price is $9.06.
What is the quality score of RKSLF?
Raksul 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.