York Space Systems, Inc (YSS) Fair Value & Analysis
Industrials · US · Market cap $3.9B
Analysis
York Space Systems, Inc (YSS) currently trades at $28.56, while our model-based Fair Value estimate is $35.08 — implying the stock looks roughly 22.8% undervalued today. We read business quality at 87/100 (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: low) — always confirm before acting.
About the company
York Space Systems, Inc. operates as a space and defense prime providing a comprehensive suite of mission-critical solutions for national security, government and commercial customers in the United States. It provides space and defense primes with proprietary hardware and software capabilities designed to address customers' requirements across the elements of the space ecosystem throughout the mission lifecycle. The company also engages in the design, production, integration, and operation of spacecraft to manage spacecraft and constellations. It offers S-CLASS, LX-CLASS, and M-CLASS spacecraft, which are satellite platforms to a range of space market needs. In addition, the company provides software that enables versatile integration of a variety of payloads for customers and supply chain commonalities across platforms, as well as software-enabled services. The company was formerly known as Yellowstone Midco Holdings II, LLC and changed its name to York Space Systems, Inc. in Janua…
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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.