AlphaMadera's AlphaVal page classifies Climb Global Solutions, Inc. as a Platform & Compounding FCF business and values it using Two-stage FCF DCF, then compares the result to the current market price to flag CLMB as undervalued, fairly valued, or overvalued.

What is Climb Global Solutions, Inc.'s fair value?

Fair value for CLMB comes from a Two-stage FCF DCF model -- the approach AlphaVal selected for this company's Platform & Compounding FCF classification. The live AlphaVal page shows bear, base, and bull scenarios alongside the key assumption behind each.

How does AlphaMadera value CLMB?

AlphaVal routes each company to one of ten valuation archetypes based on its business model. CLMB was classified as Platform & Compounding FCF and is valued using Two-stage FCF DCF, built from CLMB's most recent reported fundamentals.

CLMB - Climb Global Solutions, Inc.

Price: -- -- | CONSENSUS: Buy DETAILS

AlphaVal

Deterministic, archetype-aware fair value

Platform & Compounding FCF 85% confidence

Primary model: Two-stage FCF DCF

Valuation Signal Fair Value Mild

Trading 9.6% below fair value

Current Price $27.94

Bear Case $17.26 38.2% downside ($17.26 - $27.94) / $27.94 = -38.2% 13% stage 1 growth, 11% discount

Fair Value $30.92 10.7% upside ($30.92 - $27.94) / $27.94 = 10.7% 21% stage 1 growth, 11% discount

Bull Case $48.47 73.5% upside ($48.47 - $27.94) / $27.94 = 73.5% 27% stage 1 growth, 11% discount

Adjust Assumptions

DCF Stage 1 Growth Rate

21.0%

Discount Rate (WACC)

11.0%

Terminal Growth Rate

3.0%

Key Value Driver

FCF growth rate (21% base case)

Terminal Value % of EV 47%

Implied Market Multiple 44.3x

Market is pricing in (growth) 19.6% vs our 21.0% base

Plain-Language Summary

Using a two-stage FCF DCF with 21% growth decelerating over 15 years, discounted at 11%, the base-case intrinsic value is $30.92 per share.

Warnings

Key Risks

P/E alone misleads — earnings depressed by growth investment
Cyclical or commodity businesses may be misclassified as platforms
Terminal value dominance suggests sensitivity to long-run assumptions