1. At a Glance – Blink and You’ll Miss the Alpha
₹1,437 crore market cap. ₹81.7 stock price. ROCE at a juicy 35.5% and ROE at 24%. Operating margins that would make FMCG CEOs cry at ~61% in Q3 FY26. This is not a manufacturing plant, not a SaaS company, not even a typical broker. This is a prop trading beast that wakes up every morning, fires up its in-house algo engines, and quietly extracts money from market inefficiencies—no marketing, no branches, no celebrity brand ambassador.
Q3 FY26 numbers?
Revenue ₹108 Cr (QoQ weak, YoY meh), PAT ₹39 Cr (+4% QoQ). EPS ₹2.21 for the quarter. And yes, they just announced an interim dividend of ₹0.10/share because why not—cash is lying around anyway.
Stock down ~15% over 1 year while profits still exist? Welcome to the world of cyclical market businesses where Mr. Market has mood swings. Question is: is this a fallen algo angel or a peak-cycle mirage?
2. Introduction – The Quietest Casino in Dalal Street
Dolat Algotech is what happens when Gujarati discipline meets hardcore derivatives math. While most brokers scream about app downloads, Dolat sits in Mumbai and Gandhinagar running risk-neutral delta-hedged F&O strategies like a quant monk.
No client onboarding drama.
No influencer reels.
No “next big fintech” PowerPoint decks.
Just proprietary trading. Their revenues rise and fall with market volatility, liquidity, and opportunity density. When markets are boring, Dolat yawns. When markets are wild, Dolat feasts.
They changed their name in 2021 from Dolat Investments to Dolat Algotech—basically telling the market: “Boss, this is not your daddy’s investment company anymore.”
But here’s the twist: despite insane margins and long-term profit growth, recent TTM profit is down 50%. So… genius quants having a bad year? Or structural risk hiding behind fancy algorithms?
Let’s
open the hood.
3. Business Model – WTF Do They Even Do?
Imagine a trader who:
- Never gets emotional
- Never overtrades
- Never revenge trades
- Never watches CNBC debates
That’s Dolat Algotech—in software form.
What actually happens:
- They run in-house developed algo software
- Focus on delta-neutral, hedged derivatives strategies
- Trade primarily in Futures & Options
- Earn from pricing inefficiencies, not directional bets
Revenue mix FY23:
- 95% from shares & securities trading
- ~4% dividend income
- Rest is chai-paani interest from liquid funds
They also park money smartly:
- ₹78 Cr in govt securities & liquid MFs (FY24)
- ₹380 Cr+ in bank FDs pledged as margins (FY23)
This is not leverage-fuelled YOLO trading. It’s capital-efficient, margin-heavy, math-driven execution. But here’s a question for you:
👉 What happens if NSE changes rules, margins spike, or algo latency advantages compress?
4. Financials Overview – Numbers That Smell Like a Trading Desk
(Consolidated, ₹ Cr)
| Metric | Latest Qtr | YoY Qtr | Prev Qtr | YoY % | QoQ % |
|---|---|---|---|---|---|
| Revenue | 108 | 119 | 59 | -9.2% | +83% |
| EBITDA | 65 | 65 | 20 | 0% | +225% |
| PAT | 39 | 38 | 5 | +2.6% | +680% |
| EPS (₹) | 2.21 | 2.12 | 0.26 | +4.2% | 🚀 |
Yes, QoQ looks crazy because Sep quarter was dull AF. That’s trading businesses for you—no smooth lines, only heartbeats.
EPS Annualisation
Q3 EPS = ₹2.21
Average of Q1, Q2, Q3 EPS ≈ (2.21 + 2.25 + 0.26) / 3 ≈ 1.57
Annualised
