1. At a Glance – A Tech Conglomerate or Controlled Chaos?
At ₹32.9 per share and a market cap of ₹4,548 crore, RattanIndia Enterprises Ltd is trying to convince Dalal Street that it’s not just another “Power Company Gone Startup.” In the last 3 months, the stock has fallen 25.1%, and over 6 months it’s down 36.7%. So clearly, Mr. Market is not clapping yet.
Q3 FY26 revenue stands at ₹2,006 crore, but PAT is a loss of ₹162 crore. TTM PAT? A spicy negative ₹411 crore. ROE sits at 9.59%, ROCE at 12.7%, and debt stands at ₹1,110 crore with a debt-to-equity ratio of 1.07. Interest coverage? Negative. OPM? -4.53%.
Yet — and this is important — this company operates in EV motorcycles, drones for the Indian Army, e-commerce with 42 crore lifetime orders, and fintech lending.
Loss-making? Yes. Ambitious? Definitely. Boring? Absolutely not.
Now the real question: Is this India’s next digital ecosystem builder, or just a PowerPoint empire with a scooter attached?
Let’s investigate.
2. Introduction – From Thermal Power to Thermal Startups
Once upon a time, RattanIndia was known for thermal power. Coal. Steam. Turbines.
Today? Drones with grenade-dropping capability, electric motorcycles endorsed by Hardik Pandya, and an Amazon-powered e-commerce machine shipping 4.5 orders per second.
The pivot has been dramatic.
The company divested part of its stake in RattanIndia Power, reducing shareholding from 22.07% to 19.81%. Translation? “We are no longer just a power utility cousin.”
Instead, the group is betting on:
- E-commerce via Cocoblu
- EV motorcycles via Revolt
- Fintech lending via Neotec
- Defence and agricultural drones via NeoSky
This isn’t diversification.
This is controlled chaos.
And yet, revenue has exploded over the last three years. Sales growth (3 years) stands at 689%. That’s not growth. That’s a startup on caffeine.
But profitability? That’s a different story.
Q3 FY26 reported a ₹162 crore loss, largely due to ₹189 crore unrealized MTM loss on RattanIndia Power shares.
So are losses operational? Or accounting? That’s what we’ll decode next.
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