Algoquant Fintech Ltd: ₹223 Cr Sales, ₹19 Cr PAT – Coding Profits at Ultrasonic Speeds
1. At a Glance
Algoquant Fintech (earlier known as Hindustan Everest Tools — from wrenches to algorithms, quite the glow-up) is a tech-driven trading shop that runs high-frequency arbitrage strategies in Indian capital markets. With ₹223 Cr sales, ₹19 Cr PAT, and a market cap of ₹2,132 Cr, the company is valued like a SaaS unicorn but functions like a quant hedge fund. Stock is up 62% in 1 year and 167% in 5 years — basically, coding their way into Dalal Street’s good books.
2. Introduction
Imagine a world where traders don’t scream on phones but machines silently eat microsecond spreads. That’s Algoquant. Instead of building spanners, they now build execution engines, risk models, and hedged derivative strategies that scalp pennies at light speed.
Their model is simple:
Low-risk arbitrage: Capturing price inefficiencies in derivatives.
High-frequency trading (HFT): Beating competitors by microseconds.
Completely hedged: They’re not betting on market direction, just milking gaps.
Geographically, they’ve spread across Delhi, Mumbai, Bangalore, Ahmedabad, Kolkata, Ghaziabad, and Gift City. Clearly, the only “offline presence” they need is server racks near NSE/BSE.
In FY21, ownership shifted when Algoquant Investments Pvt Ltd (earlier Mandelia Investments) took over. Since then, performance has shot up. Coincidence? Probably not.
3. Business Model (WTF Do They Even Do?)
In plain desi English:
Step 1: Deploy math + code + servers near the exchange.
Step 2: Run algo strategies (statistical arbitrage, index futures vs options, etc).
Step 3: Earn consistent low-risk returns.
Key revenue sources (FY23):
Trading in financial instruments: 92%
Interest on margin money: 2%
FD income: 2%
Loans: 2%
Write-backs/provisions: 2%
Basically, the firm makes most of its money from algo trading spreads. Ancillary interest income is pocket change.
But here’s the catch — trading firms thrive until they don’t. A single regulation change, a new SEBI margin framework, or exchange tech failure could derail the strategy.
4. Financials Overview
Source table
Metric
Latest Qtr (Jun’25)
YoY Qtr (Jun’24)
Prev Qtr (Mar’25)
YoY %
QoQ %
Revenue
₹54.5 Cr
₹65.6 Cr
₹53.9 Cr
-17.0%
+1.1%
EBITDA
₹9.47 Cr
₹22.1 Cr
₹3.23 Cr
-57.2%
+193%
PAT
₹4.55 Cr
₹14.0 Cr
₹1.06 Cr
-67.5%
+329%
EPS (₹)
0.16
0.65
0.04
-75.4%
+300%
Commentary: Sales dropped YoY, profits tanked (-67.5%) thanks to volatile arbitrage spreads. But QoQ, they bounced back from a weak March quarter. Annualised EPS = ₹0.64 → P/E ~118x.
