Reliable Data Services Limited (RELIABLE) Fair Value & Analysis

Technology · IN · Market cap ₹1.5B

A solid business, screening 35% undervalued on our models.

What matters now

• Solid quality (58/100) at a price below fair value, the discount is the argument here, not the business quality.
• Our model range runs from ₹140.01 (bear) to ₹233.36 (bull), base ₹186.69. The closer the price sits to the lower half, the larger the margin of safety.
• Quality 58/100 (solid quality) with medium evidence: read the verdict with care.

Price vs Fair Value (5 years)

White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Aug 13, 2026.

How to read this chart

60‑month range ₹23.74 – ₹168.87 · fair‑value band ₹140.01 – ₹233.36 · the ₹138.74 price screens below the ₹186.69 fair value. Dashed = 300-day average. As of Aug 13, 2026.

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Analysis

Reliable Data Services Limited (RELIABLE) currently trades at ₹138.74, while our model-based Fair Value estimate is ₹186.69, implying the stock looks roughly 34.6% undervalued today. The Quality Score stands at 58/100 (solid quality), in the Technology 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: medium), always confirm before acting.

Over the trailing twelve months, Reliable Data Services Limited generated revenue of ₹1.9B at a net margin of 3.7%. Revenue grew 3.8% year over year. It earns a return on equity of 8.7%. Net debt stands at ₹197M. Fundamentals as of Aug 13, 2026

Our scenario range runs from ₹140.01 (bear case) to ₹233.36 (bull case); at ₹138.74, the current price sits below that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades about 21% below its 52-week high and 95% above its 52-week low, currently below its 200-day average. For context, the median of 10 Technology peers we cover trades at 0% fair-value upside, at 35%, RELIABLE 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 (₹448.17) versus Dividend Discount (₹0.2600). Highest evidence: Growth DCF (80).

Key figures & financial health

Quality Score breakdown

About the company

Reliable Data Services Limited provides customized services to banking, financial services, and other manufacturing industries in the field of back-office processing, front office followups, and management services in India.

Full company description

Reliable Data Services Limited provides customized services to banking, financial services, and other manufacturing industries in the field of back-office processing, front office followups, and management services in India. The company offers transaction processing services, such as pick-up and processing cheques, drafts, and documents from clients; back office support for bank clearances and to expedite remittances; coordinating funds activity between banks and their clients; follow-up with correspondent banks to expedite the early clearance of cheques and remittances against the same; follow-up with correspondent banks for old outstanding amount of up country cheques sent for clearance; specialized collection of cheques and tracking of same and reporting at the frequency mentioned by the client; and collection of duplicate DDs against the lost/mutilated or time barred instruments. It also provides human resources services, including recruitment solutions comprising placement services; payroll processing services; outsourcing solutions related to manpower; basic training facility to candidates; management compensation planning; bulk return filing; and provident fund and ESI related services. In addition, it engages in providing business consulting services; designing and installing systems for budgetary control, fund management, and costing; designing of accounting and office records; MIS and system reviews; financial projections and modeling; business valuations; due diligence reviews; strategic financial management; project feasibility studies; and process review and restructuring. Further, it offers digitization of records, bulk data entry job work, management of authorization centers, delivery and tracking of documents/bills, pick-up and processing of charge slips, address verification, and handling of IPOs. The company was incorporated in 2001 and is based in Noida, India.

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

Revenue & earnings trend

FY2022 – FY2026 · reported fiscal years

Reliable Data Services Limited reported revenue of ₹1.9B in FY2026 versus ₹534M in FY2022, a compound +36.4%/yr. Reported net income was ₹68.8M in FY2026, compounding +18.6%/yr from FY2022.

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Peer Group

Information Technology Services · 490 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 Information Technology Services 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.