About the Company: P. E. Analytics Ltd is engaged in providing proprietary Real Estate Business Intelligence and Analytics platform on B2B business model to various users such as Developers, construction industry, Investors, Banks, Housing finance companies, Equity research firms, real estate PE funds, REIT’s, financial institutions, Mortgage Insurers, HNIs, Lenders and Investors in real estate.
Due to company’s in depth research, authentic data base and years of experience, unbiased and credible data, the company has quickly transformed itself into India’s most comprehensive Business Intelligence platform for real estate in India.
company provides authenticate real estate data, analytics and market research reports available on various formats and pricing on annual subscription basis and ad hoc reports as per requirement of users.
clients are among the largest and most respected names in the Real Estate Private Equity Fraternity, Leading Developers, Banks, Housing Finance Companies, Fund House, Real Estate Research Companies and BFSI.
Key facts about the Company:
Company’s Data base:
Company’s proprietary database, covers pan India footprint across 44 cities, real estate data covering more than data 180 points over 13 years and over 156 months on month data base.
Company has a coverage of over 42,000 developers, over 1,36,000 projects in India and over 97,00,000 units.
While the transparency of the Real estate markets and availability of information varies greatly by cities and markets, the team at P.E. Analytics works hard to capture all relevant information possible.
Coverage of Database:
P.E. Analytics provides comprehensive and extensive real estate data at the national and sub-national/regional levels representing over 1,36,00 projects across 44 cities covering 42,000 developers.
Company add approximately 300 projects every month. Company’s clients can have access to the most up-to-date, comprehensive property data in a handy printed format.
The key USP of the data is that on subscription the clients gain access to 100 months of proprietary catalogue data that aids in generation of historical trends and predictive analysis.
What Company Offer in Research & Consulting:
Competitors in the Business:
The Data Analytics industry is characterized by fragmented and highly competitive market participants. Company compete with other market players as well which are Bhugol Analytics Private Limited, Liases Foras Real Estate Rating & Research Private Limited, Propstack Services Private Limited.
Management Team:
- Mr. Samir Jasuja (Designation: Managing Director)
- Mrs. Vasihali Jasuja (Designation: Director)
Objectives of the Issue:
Offer for Sale: (Rs.15.04 cr )
- Each of the Selling Shareholders will be entitled to the proceeds of the Offer for Sale. Company will not receive any proceeds from the Offer for Sale.
Fresh Issue (Rs. 16.55 cr)
- Expenditure for Technological upgradation.
- Retail Initiative (B2C Expansion plan).
- General Corporate purposes.
- To meet Issue Expenses.
Fund Utilization:
Particulars | Amount |
---|---|
Expenditure for Technological upgradation | 2.16 cr |
Retail Initiative (B2C Expansion Plan) | 9.25 cr |
Retail Initiative (B2C Expansion Plan):
Company is presently focused on B2B segment and the revenue verticals and expenditures are fully contributed by B2B business.
Now, the company has plan to enter and penetrate the B2C segment i.e. retail segment, which is highly ignored or low penetrated segment in the real estate industry.
Generally in past retails managed to source the information related to property in part and pieces either through the real estate brokers or near by local public or some websites.
So, just to take this gap as an opportune and to empower the retail buyers and sellers with accurate and real time information related to desired property, company has planned to enter the B2C segment as a new business vertical.
Company already has huge data base and can easily take leverage of the existing quality data base to cater direct customers.
Company has plan to create Tech Enabled Data Platform that will help the retail real estate buyer & seller for data analytics that help in informed decision making.
This platform will deliver data, information and data analytics along with the various reports related to macro and micro details of the real estate/property in desired location for the interested retail buyer and sellers. This B2C initiative will be launched on pilot basis in two to three metro cities.
This platform will include customized reports, Project Rating report that can be made jointly with rating agency or by the company, Tech Enabled Project Monitoring solution that with Unique tool with every project plotted on Google maps along with the social and physical infrastructure, ability to draw own catchment on a single road or up to 5 Km radius.
Financials of the Company:
(in Crores) | FY 19 | FY 20 | FY 21 | 30th Sept 21 |
---|---|---|---|---|
Revenue | 16.13 | 17.24 | 19.75 | 12.15 |
Net Profit | 3.47 | 1.17 | 6.92 | 4.10 |
IPO Details:
Details | Info |
---|---|
Issue Opens on | 22nd March 2022 |
Issue Closes on:. | 25th March 2022 |
Issue Price | Rs.111 – 114 |
Face Value | Rs.10 |
Minimum Lot | 1200 |
Minimum Investment | Rs.1,36,800 |
Issue Constitutes | 26.44% |
Issue Size | Rs.31.60 cr |
Market Cap | Rs.119.49 cr |
Listing at | NSE SME |
Equity Shares Offered (Fresh) | 14,52,000 |
Equity Shares Offered (OFS) | 13,20,000 |
Total Equity Shares Offered (Fresh + OFS) | 27,72,000 |
Equity Shares Prior to the Issue | 90,30,104 |
Equity Shares after the issue | 1,04,82,104 |
Also Read : List of Upcoming IPO’s in India.
Also Read : List of Upcoming SME IPO’s in India.
Important Dates:
Finalization of Basis of Allotment | on or Before 30th March 2022 |
Initiation of Refunds | on or Before 31st March 2022 |
Credit of Equity Shares: | On or Before 1st April 2022 |
Listing Date: | On or Before 4th April 2022 |
Company Contact Info: |
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P. E. Analytics Limited Plot No. 348, Udyog Vihar, Phase II, Gurugram-122016, Haryana Tel: +91- 124- 4522725, E-mail: info@propequity.in Website: www.propequity.in |