Rigetti Computing, Inc (RGTI) Fair Value & Analysis
Technology · US · Market cap $8.7B
Analysis
Rigetti Computing, Inc (RGTI) currently trades at $21.28, while our model-based Fair Value estimate is $4.93 — implying the stock looks roughly 76.8% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Rigetti Computing, Inc., through its subsidiaries, builds and operates quantum computers and the superconducting quantum processors the United States, the United Kingdom, rest of Europe, Asia, and internationally. The company offers quantum processing units (QPUs) and quantum computing systems to provide access to quantum computing systems through the cloud in the form of quantum computing as a service (QCaaS). It provides Novera, a 9-qubit chip QPU that features tunable couplers for fast two-qubit operations and a 5-qubit chip for testing single-qubit operations; Novera QPU that is based in fourth generation Ankaa-class architecture; 36-qubit Cepheus-1-36Q system, a multi-chip quantum computer; and 84-qubit Ankaa-3 quantum computer. The company also sells access to its quantum computers through QCaaS. In addition, the company offers Rigetti quantum cloud services, a platform that provides support for various range of programming capabilities, public or private clouds integration, a…
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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.