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Senior plc (SNR) Fair Value & Analysis

Industrials · GB · Market cap 1.2B GBX

Pricep2.88
Fair Valuep1.20
Upside-58.3%
Quality95/100
Evidence: High Range p0.7400 – p1.65

Analysis

Senior plc (SNR) currently trades at p2.88, while our model-based Fair Value estimate is p1.20 — implying the stock looks roughly 58.3% 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: high).

About the company

Senior plc designs, manufactures, and sells high-technology components and systems for the original equipment manufacturers in the aerospace, defense, land vehicle, and power and energy markets in the United States, the United Kingdom, and internationally. It operates in two segments, Aerospace and Flexonics. The company offers fluid conveyance and thermal management components and sub-systems for fixed-wing and rotary aircraft, aero-engines, spacecraft and a variety of other industrial applications, as well as complex precision-machined parts used for conventional and advanced land vehicle propulsion systems, petrochemical, renewable energy and various other industrial applications. Its fluid conveyance system products include high- and low-pressure ducting systems; bellows, gimbals, flexible joints and couplings; control bellows, sensors and assemblies; thermal management solutions, including metallic insulation and electronics cooling plates; and high-pressure hydraulic fittings …

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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.