Compare PE ratios across sectors to identify overvalued/undervalued markets
No PE ratio makes sense in isolation. A PE of 30 is cheap for a consumer staples company but expensive for a commodity steel producer. Sector PE gives you the benchmark: where does this company's valuation sit relative to its peers? Sector PE comparison is the most common first step in fundamental stock analysis on Indian exchanges.
NSE publishes sector PE data through the Nifty sectoral indices — Nifty IT, Nifty Bank, Nifty FMCG, Nifty Auto, Nifty Pharma, and 15 others. These indices are market-cap weighted, meaning large companies dominate the sector PE. Compare any individual stock's PE against the relevant Nifty sector index PE to assess relative valuation.
These ranges are approximate, based on historical Nifty sector index data. They shift with macro conditions — rising interest rates compress all PEs; falling rates expand them. The ranges below reflect typical conditions in 2021–2025.
| Sector (Nifty Index) | Historical PE Range | FY24 Approximate PE | Key Driver of Valuation |
|---|---|---|---|
| Nifty IT | 20–40x | 28–32x | Margin resilience, deal TCV growth |
| Nifty Bank | 14–25x | 15–18x | NPA cycle, credit growth, NIMs |
| Nifty FMCG | 40–70x | 50–58x | Volume growth, rural recovery |
| Nifty Auto | 18–35x | 25–30x | EV transition, premiumisation |
| Nifty Pharma | 20–45x | 30–38x | USFDA approvals, domestic chronic growth |
| Nifty Metal | 8–25x | 12–16x | Highly cyclical; China demand |
| Nifty Energy | 10–20x | 12–15x | Regulated returns, refining margins |
| Nifty Realty | 25–60x | 35–50x | Presales momentum, residential upcycle |
Sector PEs mean-revert over time. When the Nifty IT sector PE touches 40x — the top of its historical range — future returns from that point tend to be muted, regardless of how strong earnings growth looks. When it dips to 20x, as it did in late 2022 during the US tech selloff and rising interest rate cycle, it presents an entry opportunity for long-term investors.
This is the basis of sector rotation — moving money from expensive sectors to cheap sectors relative to their own historical PE ranges. It does not require predicting macro events. It requires discipline to buy what is cheap and avoid what is expensive — which is psychologically difficult because cheap sectors usually feel unloved for good reason.
In 2022–2023, IT sector PE compressed from 35x to 22x while Nifty PSU Banks expanded from 8x to 15x. Investors who rotated from IT into PSU banks captured both the compression in IT and the re-rating in banking. This is sector-relative PE analysis applied in practice — not hindsight, but a systematic process.
Once you know the sector PE, compare each company in the sector to identify relative winners. If the Nifty Pharma PE is 35x and Sun Pharma trades at 32x while Cipla trades at 28x, Cipla appears relatively cheaper within the same sector context. The next question is whether that discount is justified (different growth rates, USFDA risk profile, domestic vs export mix) or whether it represents an opportunity.
Discount-to-sector-PE analysis works best within homogeneous peer groups. Comparing TCS to an IT mid-cap using sector PE is less valid — they have different business models, client profiles, and margin structures. Create peer groups of genuinely comparable companies (large-cap IT vs large-cap IT; API pharma vs branded domestic pharma) for the most relevant sector PE comparison.
Upgrade to rupiya.io Premium for real-time quotes, advanced filters, unlimited watchlists, and AI-powered insights.
rupiya.io is for research and education only. Calculations are estimates based on publicly available data. Not investment advice.