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Key data
Market Cap
₹4.59 L Cr
P/E
15.13x
ROE
36.12%
Debt / Equity
0.05
OPM
24.20%
Net Margin
19.63%
Price
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Company Overview
Infosys is one of India's largest IT services companies. It builds, runs and modernises software and technology systems for big global companies — mostly banks, retailers and manufacturers in the US and Europe. It earns from its people's billable time and, increasingly, outcome-based contracts.
Key business segments
💻
IT Services
The core
☁️
Digital & Cloud
Growth area
🤖
AI & Automation
Emerging
◆ Key Milestones
1981
Founded by Narayana Murthy & six others
1993
Lists on the stock exchange
1999
First Indian firm on NASDAQ
2011
Crosses $6 billion revenue
2015
Pushes into digital & automation
2023
A top-tier global IT bellwether
Business Model
🤝Win Deals
→👥Deploy Talent
→🛠️Deliver Projects
→🔁Renew & Expand
Deep client relationships and low-cost skilled talent turn one-off projects into recurring, sticky, dollar-earning revenue.
Compounding Flywheel
Skills Compound
More Clients
More Skills
Bigger Deals
More Cash
Reinvest
Each client adds new capabilities and references. Broader skills win bigger, stickier deals. Big deals generate strong cash flow. Cash funds training, tools and acquisitions. Which attracts the next set of clients.
Why It Wins · Moat
👥
Talent Pool
A vast, trained, low-cost engineering workforce.
🔗
Sticky Clients
Once embedded in a client's systems, it is rarely replaced.
🌐
Global Delivery
Scale to serve big multinationals across time zones.
🏆
Brand & Governance
A trusted name that wins large, sensitive contracts.
💰
Capital-light
Generates lots of cash with little investment needed.
Growth Drivers
☁️Global spending on cloud and digital transformation.
🤖AI-led modernisation projects for clients.
💸Cost pressure pushing companies to outsource.
🧩Vendor consolidation favouring large, trusted players.
📑Large multi-year deal wins.
Key Risks
▲A US or Europe slowdown freezes client tech budgets.
▲Currency: it earns in dollars, reports in rupees.
▲Wage inflation and staff attrition squeeze margins.
▲AI could disrupt the people-heavy delivery model.
▲Visa rules and regulation in key markets.