Share India Securities Limited
3,594words
3turns
0analyst exchanges
0executives
Key numbers — 40 extracted
rs,
INR 4,570
INR 88
INR 4,671
INR 347
100%
45%
52%
45.28%
44.30%
35.69%
43.01%
Guidance — 3 items
Factors Driving this Growth
opening
“Increasing Number of Capital Market Issuances SME IPO Issues 241 217 196 125 69 FY22 FY23 FY24 FY25 9M-FY26 FY25 has recorded 4x Fundraise than FY23 SME IPO Issues (INR Mn) 98,112 97,275 • • • Digital platforms lowering cost of acquisition and improving client scalability.”
Factors Driving this Growth
opening
“23,331 9,434 FY22 FY23 FY24 FY25 9M-FY26 An underpenetrated, expanding investor base and a strong IPO cycle create a long growth runway for Share India.”
Factors Driving this Growth
opening
“7.3% 4.2% 4.2% 3.7% • • • • • • Mutual fund AUM in India is expected to compound at ~16-18% CAGR, led by accelerating financialization of household savings.”
Speaking time
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Opening remarks
Factors Driving this Growth
• • Rising retail investor participation driven by financialization of household savings. Strong growth in equity derivatives and options trading volumes. • Greater demand for multi-asset trading. Increasing Number of Capital Market Issuances SME IPO Issues 241 217 196 125 69 FY22 FY23 FY24 FY25 9M-FY26 FY25 has recorded 4x Fundraise than FY23 SME IPO Issues (INR Mn) 98,112 97,275 • • • Digital platforms lowering cost of acquisition and improving client scalability. 60,955 Regulatory stability and confidence. improved market transparency boosting investor India’s IPO pipeline is robust, with 249 filings for 2026 and proposed fundraising of ~INR 4 lakh crore. 23,331 9,434 FY22 FY23 FY24 FY25 9M-FY26 An underpenetrated, expanding investor base and a strong IPO cycle create a long growth runway for Share India. Source: SEBI, Economic Times, Indiagraphs 17 Expanding Wealth Creating a Strong Distribution Opportunity Indian Wealth Management Market (USD Bn) Number of HNWIs in India Mutual Fu
Key Growth Drivers for Algorithmic Trading Adoption
Rapid growth in derivatives trading demands speed, precision, and systematic execution. Advances in technology and exchange infrastructure such as low-latency systems, co-location, and robust matching engines. Easy access through plug-and-play algo platforms for retail and HNI investors. Increasing preference for rule-based, emotion-free trading strategies. Adoption of adaptive, self-learning models enhancing strategy performance and scalability. Lower market execution at scale, driving superior cost and execution efficiency. improved price discovery, and consistent impact, • • • • • • Pre 2010 Indian equity markets were largely dominated by manual trading 2010-2015 Adoption of Execution Focused Algos such as VWAP and TWAP by Institutional Investors 2016-2020 Expansion of co- location, low- latency infrastructure, and broker APIs enabled proprietary trading desks and broker-led algos Post 2020 Plug-and-play algo platforms enabling retail & HNI adoption of AI/ML-driven strategies. • Wel
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