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Magnite, Inc (MGNI) Fair Value & Analysis

Communication Services · US · Market cap $2.6B

Price$18.00
Fair Value$17.17
Upside-4.6%
Quality95/100
Evidence: High Range $12.87 – $21.46

Analysis

Magnite, Inc (MGNI) currently trades at $18.00, while our model-based Fair Value estimate is $17.17 — implying the stock looks roughly 4.6% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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

Magnite, Inc., together with its subsidiaries, operates an independent omni-channel sell-side advertising platform in the United States and internationally. The company's platform offers applications and services for sellers of digital advertising inventory, or publishers that own and operate CTV channels, applications, websites, and other digital media properties to manage and monetize their inventory; and for buyers, including advertisers, agencies, agency trading desks, and demand side platforms to buy digital advertising inventory, as well as an independent marketplace that brings buyers and sellers together. It markets its solutions through sales teams that operate from various locations. Magnite, Inc. was formerly known as The Rubicon Project, Inc. and changed name to Magnite, Inc. in July 2020. The company was incorporated in 2007 and is headquartered in New York, New York.

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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.