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Momentus Inc (MNTS) Fair Value & Analysis

Industrials · US · Market cap $195M

Price$8.23
Fair Value$4.09
Upside-50.3%
Quality95/100
Evidence: Low Range $3.07 – $5.12

Fair value as of: Jun 24, 2026

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Analysis

Momentus Inc (MNTS) currently trades at $8.23, while our model-based Fair Value estimate is $4.09 — implying the stock looks roughly 50.3% 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: low).

About the company

Momentus Inc. operates as a commercial space company in the United States. The company offers satellites, satellite buses, solar arrays, and other satellite components; transportation, communication, and infrastructure services, including hosted payloads, and other in-orbit services for government and commercial customers. It serves satellite operators. The company is based in San Jose, California.

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Frequently asked questions

Is Momentus Inc (MNTS) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $4.09 versus a price of $8.23 — about −50% (overvalued). Model-based estimate, not financial advice.
What is the fair value of MNTS?
Our 21-model fair value for Momentus Inc is $4.09 (as of Jun 24, 2026), built from audited fundamentals. The current price is $8.23.
What is the quality score of MNTS?
Momentus 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.