Why Every Sector Has Its Own Dashboard
P/E works for FMCG and lies for banks. The first skill of sector analysis is knowing which numbers matter where.
A generic ratio screen treats an HDFC Bank, an Infosys and a Hindustan Unilever as the same animal — and misprices all three. Each sector has a business physics of its own: banks make money on spreads, IT on billed hours, pharma on regulatory approvals, autos on monthly volumes, FMCG on shelf velocity. Sector analysis starts by swapping the generic dashboard for the native one.
- Banks/NBFCs — spreadThe gap between the highest buy price and lowest sell price. businesses: NIM, asset quality (GNPA/NNPA), CASA, credit growth; valued on P/BShare price relative to book value per share. and ROA.
- IT services — people businesses: constant-currency growth, EBIT marginOperating profit as a percentage of revenue., attrition, deal wins (TCV); valued on P/E with growth.
- Pharma — regulatory businesses: US generics pricing, ANDA pipeline, USFDA inspection status, R&D spend.
- Autos — monthly-cycle businesses: volumes, realisations, dealer inventory; cyclical P/E trap applies.
- FMCG — distribution businesses: volumeThe number of shares or contracts traded in a period. vs price-led growth, gross margins vs ad spend, rural/urban mix.
Test yourselfA screener shows an auto stock at 8× P/E (cheapest in 5 years) after two record sales years. Bargain?
Where do I find these sector metrics?
Almost all are in quarterly investor presentations (the cleanest source — companies present their own sector dashboard), earnings-call transcripts, and for system-level data: RBI publications for banking, SIAM for auto volumes, USFDA databases for pharma inspections. Screeners carry the generic ratios; the sector numbers usually need the primary documents.