Data Patterns (India)

Data Patterns (India) Shareholder Yield

The Shareholder Yield of Data Patterns (India) (DATAPATTNS.NS) as of Sep 29, 2026 is 0.28 %. In the previous year, Shareholder Yield was 0.23 % — a change of 21.54% (higher).

Shareholder Yield

0.28 %

YoY

21.54%

Last updated:

Shareholder Yield of Data Patterns (India) is 2026 0.28 % . Shareholder Yield of Data Patterns (India) was 2025 0.23 % . It decreases by 21.54% higher compared to the previous year.

The Data Patterns (India) Shareholder Yield history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Shareholder Yield
Date
Shareholder Yield
Jan 1, 2019
0.00 INR
Jan 1, 2020
0.00 INR
Jan 1, 2021
0.00 INR
Jan 1, 2022
0.24 INR
Jan 1, 2023
0.15 INR
Jan 1, 2024
0.16 INR
Jan 1, 2025
0.23 INR
Jan 1, 2026
0.28 INR
The Data Patterns (India) Shareholder Yield history
YEARShareholder YieldYoY
0.28 %+21.54%
0.23 %+44.46%
0.16 %+4.09%
0.15 %-35.57%
0.24 %+10,947.06%
0.00-16.87%
0.000.00%
0.00—
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Data Patterns (India) Stock analysis

What does Data Patterns (India) do? Data Patterns (India) is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Data Patterns (India) stock

Shareholder Yield of Data Patterns (India) is 0.28 % in 2026.

Shareholder Yield of Data Patterns (India) changed from 0.23 % to 0.28 %, representing a 21.54% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of Shareholder Yield Data Patterns (India) since 2006 – with annual values, charts, and detailed analysis.

Shareholder yield combines dividend yield and buyback yield to show the total cash return to shareholders. It captures both dividends and share repurchases.

To evaluate Shareholder Yield's, it is essential to compare it with peers in the same industry and sector. On Eulerpool, you can find direct industry comparisons for Shareholder Yield.

A 'good' varies by industry and company stage. On Eulerpool, you can compare Shareholder Yield's Data Patterns (India) with sector peers and the industry average to assess whether it is attractive.

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