Skyline Millars Limited (505650) Fair Value & Analysis
Other · IN · Market cap ₹177M
Fair value as of: Aug 13, 2026
From 3 valuation models · updated 5 days ago
A solid business, but screening 66% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (₹6.25). The favourable scenario is already priced in.
- The large gap to fair value rests on thin data (low evidence): fewer applicable models and a shorter history. Read it with extra caution.
- Solid but not exceptional quality (50/100) and above fair value, neither a clear bargain nor a standout compounder.
- A fairly wide model range (₹3.30 to ₹6.25) leaves room in how you read the outcome.
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 ₹7.60 – ₹34.81 · fair‑value band ₹3.30 – ₹6.25 · the ₹14.80 price screens above the ₹5.00 fair value. Dashed = 300-day average. As of Aug 13, 2026.
Analysis
Skyline Millars Limited (505650) currently trades at ₹14.80, while our model-based Fair Value estimate is ₹5.00, implying the stock looks roughly 66.2% overvalued today. The Quality Score stands at 50/100 (solid quality), in the Other 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: low).
Over the trailing twelve months, Skyline Millars Limited generated revenue of ₹22.8M at a net margin of 50.0%. Revenue grew 16.0% year over year. It earns a return on equity of 2.0%. The stock trades on a trailing P/E of 27.8 (as of Jul 4, 2026). Fundamentals as of Aug 13, 2026
Our scenario range runs from ₹3.30 (bear case) to ₹6.25 (bull case); at ₹14.80, the current price sits above 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 60% below its 52-week high and 5% above its 52-week low. For context, the median of 10 Other peers we cover trades at -24% fair-value upside, at -66%, 505650 screens richer 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.
All 3 models by family
Widest divergence: Asset-Based (₹3.91) versus Dividend Discount (₹1.49). Highest evidence: Gordon GGM (70).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Aug 13, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 49 · Market factors (momentum, volatility) 18
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
About the company
Skyline Millars Limited engages in the real estate development and construction equipment businesses in India. The company constructs and sells flats/commercial offices; and repairs and installs machinery and equipment. It also manufactures construction equipment and EOT cranes.
Full company description
Skyline Millars Limited engages in the real estate development and construction equipment businesses in India. The company constructs and sells flats/commercial offices; and repairs and installs machinery and equipment. It also manufactures construction equipment and EOT cranes. The company was formerly known as Millars India Limited and changed its name to Skyline Millars Limited in October 2007. Skyline Millars Limited was incorporated in 1919 and is based in Mumbai, India.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
Skyline Millars Limited reported revenue of ₹19.2M in FY2026 versus ₹0 in FY2022. Reported net income was −₹10.6M in FY2026.
505650 screens 66% overvalued. Compare with Federal Home Loan Mortgage Corporation →
Peer Group
Other · 373 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 Other 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.
VALUE 0: the price sits above our fair-value range.
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.
Similar stocks
10 more Other stocks, each showing price versus our Fair Value estimate (as of Aug 13, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Federal Home Loan Mortgage Corporation FREJO | $15.58 | $51.90 | +233% |
| 533278 533278 | ₹409.15 | ₹660.78 | +62% |
| Nestl?? India Limited 500790 | ₹1,497 | ₹191.93 | -87% |
| ITC Limited 500875 | ₹279.50 | ₹212.74 | -24% |
| Wipro Limited 507685 | ₹183.80 | ₹193.38 | +5% |
| 540376 540376 | ₹4,054 | ₹1,542 | -62% |
| 540777 540777 | ₹537.50 | ₹149.72 | -72% |
| Lupin Limited 500257 | ₹2,265 | ₹1,983 | -12% |
| Dabur India Limited 500096 | ₹413.80 | ₹122.93 | -70% |
| 540719 540719 | ₹1,835 | ₹872.41 | -52% |
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Frequently asked questions
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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.
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