Multicap Strategy

Narnolia Financial Services Ltd
PMS Multi Cap & Flexi Cap
Benchmark
Nifty 50 TRI
Inception Date
28 March 2012
Min. Investment
₹50,00,000
AUM (Cr.)
₹204.08
SIP Available
No
STP Available
No

Investment Strategy

Investment Approach

Stock filtering through proprietary model which considers fundamental, quantitative multiple years data/MCQ approach to buying. Momentum in earnings, Capital allocation strategy, Qualitative financial ratio/priority to resilience over high-beta.

Investment Objective

The key objective of the Narnolia Multi cap Strategy is to outperform the strategy's benchmark on a sustainable risk-adjusted basis. It is done by managing the beta of the portfolio to Nifty 500 while adding alpha opportunistically based on our rigorous bottom-up proprietary model.

Performance Returns

Returns as on 2025-12-31

Trailing Returns

Period Strategy Benchmark Outperformance
1 MONTH -0.55% -0.28% -0.27%
3 MONTHS 6.89% 6.33% 0.56%
6 MONTHS 3.52% 2.92% 0.60%
1 YEAR 5.14% 11.88% -6.74%
2 YEAR 8.82% 10.98% -2.16%
3 YEAR 12.23% 14.32% -2.09%
5 YEAR 12.49% 14.68% -2.19%
SINCE INCEPTION 15.46% 13.85% 1.61%

Calendar Year Performance

Year Return
CY 2025 5.14%
CY 2024 12.62%
CY 2023 19.33%
CY 2022 -1.76%
CY 2021 40.67%
CY 2020 30.58%
CY 2019 9.15%
CY 2018 -2.48%
CY 2017 37.18%
CY 2016 4.73%
CY 2015 15.21%
CY 2014 62.42%
CY 2013 9.30%
CY 2012 20.65%

Financial Year Performance

Year Return
FY 26_YTD 14.24%
FY 25 4.23%
FY 24 27.12%
FY 23 -7.28%
FY 22 29.39%
FY 21 80.36%
FY 20 -19.37%
FY 19 4.60%
FY 18 17.73%
FY 17 27.74%
FY 16 1.97%
FY 15 67.39%
FY 14 25.51%
FY 13 4.37%
FY 12 3.34%

Past performance is not indicative of future results. Returns are subject to market risks.

Fund Managers

Shailendra Kumar is the Co-Founder & Chief Investment Officer at Narnolia. He is known for his deep understanding and experience of over two decades in the space of fund management & investment advisory. Under his leadership, Narnolia has been recognised as the ‘Most Consistent Portfolio Manager of the country in 2018 & 2019’ and also as the ‘Pioneer and 2nd largest Investment Advisor of the country in 2021. His preferred investing style is ‘growth-in-value’.  Shailendra holds a post-graduate degree in Management & Systems from IIT, Delhi. He has a strong academic orientation having authored as well as mentored numerous financial publications and research papers. He has also done extensive work on corporate valuations and derivative pricing.

Portfolio Details

Portfolio Composition

Large Cap
0%
Mid Cap
0%
Small Cap
0%
Cash & Equivalent
0%

Top 5 Holdings

  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A

Top 5 Sectors

  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A

Portfolio Characteristics

total number of stocks
21
top 5 stocks percent
N/A
top 5 sectors percent
N/A
average market cap
514057.75
portfolio age
13 Yrs, 9 Months
sip
Not Available
stp
Not Available

Fee Structure

Fixed Fee

AMC: 2.5%

Variable Fee

AMC: 1.25%

Hurdle: 10%

Profit Sharing: %

Exit Load

Disclaimer

* Returns are as on31st December 2025 , * Returns over a 1 year period are annualized * Returns are calculated using the Time Weighted Rate of Return (TWRR) method and as provided by the respective AMCs. *ND (No Data) , * NA(Not Applicable) * Returns of the respective Benchmark Indices used are tabulated above. Benchmark(s) given are as per SEBI circular no. SEBI/HO/IMD/IMD-PoD-2/P/CIR/2022/172 dated December 16, 2022 and the APMI circular no. APMI/2022-23/02 dated 23rd March,2023 and Revised Annexure-1

This profile is provided for general informational purposes only and is based on publicly available information. While reasonable care is taken, the content may not always reflect the latest updates.

Nothing on this page constitutes investment, financial, or legal advice. Investment decisions should be made after consulting a qualified advisor and reviewing official scheme documents.

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Last Updated: January 2026 · Published by Affluense AI (affluense.ai)