RTC Group (RTC) Fair Value & Analysis
Industrials · GB · Market cap 12.7M GBX
Fair value as of: Jun 25, 2026
Analysis
RTC Group (RTC) currently trades at p1.01, while our model-based Fair Value estimate is p3.03 — implying the stock looks roughly 200.0% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
RTC Group plc, through its subsidiaries, provides recruitment services in the United Kingdom, the United States, and the Middle East. It offers technical recruitment solutions to the general engineering, manufacturing, transport, build environment, infrastructure, commercial disciplines, sales and technical sales, scientific, chemical, energy and utilities, and defense and aerospace sectors; technical and engineering workforce solutions, such as recruitment, training, account management, contingent labor, and fleet provision to the rail, energy, construction, highways, and transportation sectors; and contract and permanent staffing solutions. The company also provides hotels; labour logistics services; conferencing rooms of various sizes to accommodate meetings, en-suite bedrooms, and bar and dining facilities to accommodate business and leisure guests. In addition, it offers office space. RTC Group plc was founded in 1963 and is headquartered in Derby, the United Kingdom.
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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.