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Akme Fintrade (India) Limited (AFIL) Fair Value & Analysis

Financial Services · IN · Market cap ₹6.0B

Price₹10.38
Fair Value₹14.58
Upside+40.5%
Quality97/100
Evidence: High Range ₹6.32 – ₹18.23

Fair value as of: Jun 29, 2026

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Analysis

Akme Fintrade (India) Limited (AFIL) currently trades at ₹10.38, while our model-based Fair Value estimate is ₹14.58 — implying the stock looks roughly 40.5% undervalued today. We read business quality at 97/100 (high quality), in the Financial Services 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

Akme Fintrade (India) Limited, a non-banking financial company, provides lending services in India. The company offers two-wheeler, four-wheeler, old vehicle, business, solar rooftop, mahila udyog, farm equipment, corporate, and working capital loans, as well as provides loan against property. Akme Fintrade (India) Limited was founded in 1995 and is based in Udaipur, India.

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Frequently asked questions

Is Akme Fintrade (India) Limited (AFIL) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹14.58 versus a price of ₹10.38 — about +40% (undervalued). Model-based estimate, not financial advice.
What is the fair value of AFIL?
Our 21-model fair value for Akme Fintrade (India) Limited is ₹14.58 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹10.38.
What is the quality score of AFIL?
Akme Fintrade (India) Limited has a Quality Score of 97/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.