Data Patterns (India) Profile
Key Indicators
- Authorised Capital ₹ 8.00 Cr
as on 06-05-2024
- Paid Up Capital ₹ 7.31 Cr
as on 06-05-2024
- Company Age 39 Year, 9 Months
- Last Filing with ROC 31 Mar 2020
- Satisfied Charges ₹ 45.54 Cr
as on 06-05-2024
- Revenue 23.64%
(FY 2020)
- Profit 227.88%
(FY 2020)
- Ebitda 141.71%
(FY 2020)
- Net Worth 55.93%
(FY 2020)
- Total Assets 15.54%
(FY 2020)
About Data Patterns (India)
- CIN/LLPIN
U72200TN1985PTC061084
- Company No.
061084
- Company Classification
Private Limited Indian Non-Government Company
- Incorporation Date
14 Mar 1985
- Date of AGM
31 Dec 2020
- Date of Balance Sheet
31 Mar 2020
- Listing Status
Unlisted
- ROC Code
Roc Chennai
Industry
Company Details
- Location
Kanchipuram, Tamil Nadu, India
- Telephone
- Email Address
- Website
- Social Media-
What products or services does Data Patterns (India) Private Limited offer?
Data Patterns (India) Private Limited offers a wide range of products and services, including Electronic Development Boards, Power Supply Systems, DC Power Supply, Electric Motor, Actuators, LED Display Board & Light Boxes, Display Screen, Antennas, Wifi & Communication Tower, Antenna, Sensors & Transducers.
Who are the key members and board of directors at Data Patterns (India)?
Executive Team (2)
| Name | Designation | Appointment Date | Status |
|---|---|---|---|
Krishnamurthy Muralidharan  | Company Secretary | 16-Sep-2019 | Current |
| Srinivasagopalan Rangarajan | Managing Director | 14-Mar-1985 | Current |
Board Members(1)
| Name | Designation | Appointment Date | Status |
|---|---|---|---|
| Murthy Rekha | Whole-Time Director | 01-Nov-1989 | Current |
Financial Performance and Corporate Structure Insights of Data Patterns (India).
Data Patterns (India) Private Limited, for the financial year ended 2020, experienced significant growth in revenue, with a 23.64% increase. The company also saw a substantial improvement in profitability, with a 227.88% increase in profit. The company's net worth Soared by an impressive increase of 55.93%.
- Key Matrics
- Balance Sheet
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What is the Ownership and Shareholding Structure of Data Patterns (India)?
In 2020, Data Patterns (India) had a promoter holding of 100.00%. Access key insights, ownership, including shareholding patterns, funding, foreign investors, KMP remuneration, group structure, and overseas investments.
Related Corporates (Common Directorship)
Data Patterns (India) LimitedActive 26 years 1 monthMurthy Rekha and Srinivasagopalan Rangarajan are mutual person
Charges (Loans)
| Lender | Amount | Status |
|---|---|---|
Others Creation Date: 26 Sep 2017 | ₹36.00 Cr | Satisfied |
Indian Bank Creation Date: 16 Feb 2002 | ₹8.85 Cr | Satisfied |
Canara Bank Creation Date: 07 Oct 1992 | ₹0.75 M | Satisfied |
How Many Employees Work at Data Patterns (India)?
Data Patterns (India) has a workforce of 328 employees as of Apr 08, 2024. Unlock access to detailed historical data on individuals associated with the company, including employment records, contributions to the Employees' Provident Fund Organization (EPFO), and other related insights.
Deals i
Gain comprehensive insights into the Deals and Valuation data of Data Patterns (India), offering detailed information on various transactions, including security allotment data. Explore the intricate details of financial agreements, mergers, acquisitions, divestitures, and strategic partnerships that have shaped Data Patterns (India)'s trajectory.
Rating
Access the credit rating data, providing valuable insights into the company's creditworthiness and financial stability. Explore assessments from leading credit rating agencies, evaluating factors such as debt obligations, liquidity, profitability, and overall financial health.
Alerts
Stay informed about regulatory alerts and litigation involving and associated companies. Receive timely updates on legal proceedings, regulatory changes, and compliance issues that may impact the company's operations, reputation, and financial performance. Monitor litigation involving subsidiaries, joint ventures, and other affiliated entities to assess potential risks and liabilities.
