AFSL (AFSL) Fair Value & Analysis
Financial Services · Market cap ₹10.2B
Fair value as of: Jul 3, 2026
From 24 valuation models · updated today
Price vs Fair Value (12 months)
12‑month range ₹201.00 – ₹255.66 · fair‑value band ₹241.56 – ₹402.59 · the ₹201.15 price screens below the ₹322.08 fair value. As of Jul 3, 2026.
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AFSL (AFSL) currently trades at ₹201.15, while our model-based Fair Value estimate is ₹322.08 — implying the stock looks roughly 60.1% undervalued today. We read business quality at 57/100 (solid 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.
Over the trailing twelve months, AFSL generated revenue of ₹239B at a net margin of 0.4%. It earns a return on equity of 8.4%. Net debt stands at ₹1.5B. The stock trades on a trailing P/E of 9.7. Fundamentals as of Jul 3, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 3, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
AFSL reported revenue of ₹239B in FY2026 versus ₹5.8B in FY2022, a compound +152.8%/yr. Reported net income was ₹963M in FY2026, compounding +11.7%/yr from FY2022.
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Similar stocks
6 more Capital Markets stocks, each showing price versus our Fair Value estimate (as of Jul 3, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Huatai Securities Co HTSC | $0.2700 | $0.0100 | -96% |
| Morgan Stanley, a financial holding company, MS | $227.09 | $148.60 | -35% |
| The Goldman Sachs Group GS | $1,093 | $241.15 | -78% |
| CITIC Securities Company 600030 | ¥25.66 | ¥32.02 | +25% |
| 6030 6030 | HK$27.26 | HK$30.74 | +13% |
| Mirae Asset Securities Co 006800 | 56,400 KRW | 92,987 KRW | +65% |
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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.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.