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INFY Fundamental Analysis | Shakti Tiwari (Deep Dive)

INFY Fundamental Analysis | Shakti Tiwari (Deep Dive)

Research only, not SEBI-registered advice. By Shakti Tiwari — Trader & Entrepreneur.

Shakti Tiwari NSE Research Chart
A data-driven fundamental deep-dive on INFY using screener.in metrics. Fundamentals are evergreen — revisit before any long-term decision; pair with our latest sentiment note for timing.

Valuation & Quality

Metric Value
Stock P/E 14.8
Market Cap 4,44,873
ROE 35.7
ROCE 45.6
Dividend Yield 4.40

Analyst Grade: STRONG BUY (Fundamental) (score 6)

Why

  • P/E 14.8 — cheap vs fair 25
  • ROE 35.7% — strong capital return
  • ROCE 45.6% — efficient capital use
  • Dividend Yield 4.4% — income support

What It Means

  • Cheap/good ROE = accumulate on weakness.
  • Expensive/weak ROE = wait for correction or proof of growth.
  • Always pair with technical timing (see Trading Desk notes).

Frequently Asked Questions

Is INFY fundamentally strong?

Based on screener.in metrics (P/E, ROE, ROCE, dividend yield), INFY grades STRONG BUY (Fundamental). Strong ROE/ROCE with reasonable valuation supports accumulation on weakness; always pair with sentiment timing.

What is a good entry strategy for INFY?

Use valuation discipline: accumulate when the stock trades below its own 5-year median while the business is intact. Pair with the daily Trading Desk note for momentum confirmation.

Methodology

Automated Nifty 50 news-sentiment scoring + option-chain OI anomaly detection, refreshed daily. Ratings are data-driven, not tips.

Auto-published via nse_ai_agent on 2026-07-20 09:36 IST.

Disclaimer

This is independent research, not investment advice. Consult a SEBI-registered investment advisor before acting. Past performance is not indicative of future results.


About the Author

Shakti Tiwari is a Nifty Option Trader, Research Analyst and XGBoost Expert who publishes daily NSE India research — Nifty 50 news-sentiment, option-chain anomalies, fundamentals, and ML-based anomaly detection. All content is data-driven and for educational purposes only.

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