Mercuries Data Systems Ltd (2427) Fair Value & Analysis

Industrials · TW · Market cap 4.7B TWD

A solid business, screening 31% undervalued on our models.

What matters now

• Solid quality (56/100) at a price below fair value, the discount is the argument here, not the business quality.
• Our model range runs from 20.69 TWD (bear) to 36.48 TWD (bull), base 28.58 TWD. The closer the price sits to the lower half, the larger the margin of safety.
• Quality 56/100 (solid quality) with high evidence: the data supports the verdict.

Price vs Fair Value (5 years)

White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 21, 2026.

How to read this chart

60‑month range 9.72 TWD – 35.35 TWD · fair‑value band 20.69 TWD – 36.48 TWD · the 21.90 TWD price screens below the 28.58 TWD fair value. Dashed = 300-day average. As of Jul 21, 2026.

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Analysis

Mercuries Data Systems Ltd (2427) currently trades at 21.90 TWD, while our model-based Fair Value estimate is 28.58 TWD, implying the stock looks roughly 30.5% undervalued today. We read business quality at 56/100 (solid 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.

Over the trailing twelve months, Mercuries Data Systems Ltd generated revenue of 7.3B TWD at a net margin of 3.5%. Revenue grew 70.5% year over year. It earns a return on equity of 7.7%. Net debt stands at 594M TWD. Fundamentals as of Jul 21, 2026

Our scenario range runs from 20.69 TWD (bear case) to 36.48 TWD (bull case); at 21.90 TWD, the current price sits within that range. The share trades about 34% below its 52-week high and 9% above its 52-week low, currently below its 200-day average. For context, the median of 10 Industrials peers we cover trades at -32% fair-value upside, at 31%, 2427 screens cheaper than that median.

Fair Value models

Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.

Widest divergence: DCF Models (58.36 TWD) versus Dividend Discount (9.97 TWD). Highest evidence: Growth DCF (80).

Key figures & financial health

Quality Score breakdown

About the company

Mercuries Data Systems Ltd., together with its subsidiaries, engages in the sales, leasing, and maintenance of financial automation service machines in Taiwan.

Full company description

Mercuries Data Systems Ltd., together with its subsidiaries, engages in the sales, leasing, and maintenance of financial automation service machines in Taiwan. The company offers financial software systems, such as whitelist management, deposit machine management, device management, E-APT batching machine centralized management, multimedia reception service, teller safe management, and BTS financial branch terminal systems, as well as ATM operation integration platform; and financial automation products, including foreign exchange banknote exchange machine, professional payment kiosk, deposit machine, recycling cash dispenser, and automatic passbook printer. It also provides train dispatching radio systems; RF system for government; information technology services comprising medical information services, government procurement section, solutions for insurance industry, enterprise performance management solution, search and rescue dispatch system, 911 dispatch systems and emergency intelligent platform, SKMS stock management system, navy METOC HPC system, intelligent pre-registration and check-in management system for exhibitions, power company user electricity service big data platform, and power company's new distribution engineering information system; and automated ticket management and MRT automatic fare collection system. In addition, the company is involved in the provision of attendance, sales, maintenance, merchandising, and inspection management systems; planning, development, construction, and maintenance of software and hardware accommodating for the integrated system; management consultant and computer equipment installation; information software processing services; investment activity; computer and information software development, production, and sales; and self-produced product business and related technical consulting services. Mercuries Data Systems Ltd. was incorporated in 1965 and is headquartered in Taipei, Taiwan.

Company description, as reported by the company or data provider.

Revenue & earnings trend

FY2021 – FY2025 · reported fiscal years

Mercuries Data Systems Ltd reported revenue of 6.5B TWD in FY2025 versus 3.5B TWD in FY2021, a compound +16.9%/yr. Reported net income was 303M TWD in FY2025, compounding +19.3%/yr from FY2021.

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Peer Group

Business Equipment & Supplies · 77 stocks

How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.

Valuation Multiples vs Business Equipment & Supplies median · lower = cheaper

Snowflake

Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.

Values & ESG

Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.

ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.

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Frequently asked questions

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.