SRT Marine Systems plc (SRTMF) Fair Value & Analysis
Technology · US · Market cap $333M
Fair value as of: Jun 24, 2026
Analysis
SRT Marine Systems plc (SRTMF) currently trades at $1.22, while our model-based Fair Value estimate is $0.4200 — implying the stock looks roughly 65.6% overvalued today. We read business quality at 87/100 (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: medium).
About the company
SRT Marine Systems plc, together with its subsidiaries, develops and supplies automatic identification system (AIS) based maritime domain awareness technologies, products, and systems. It offers Digital AtoN Systems (DAS), a system that enhance port and waterway traffic control and navigation safety; NAIS-National Vessel Tracking System, a vessel identification and tracking system solution; MDM-Coastguard, a maritime domain surveillance system; VMS-Fisheries, a system for monitoring, managing, and controlling fishing vessels; and VTS-Ports and Waterways, a monitoring, managing, and controlling system for maritime infrastructure, ports, and waterways. The company also provides maritime communication and navigation transceivers. It serves mariners, infrastructure owners, coast guards, and fishing authorities in the United Kingdom, the rest of Europe, the Middle East, North America, South East Asia, and internationally. The company was formerly known as Software Radio Technology Plc an…
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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.