Veranda Learning Solutions

Veranda Learning Solutions R&D per Employee

The R&D Spending per Employee of Veranda Learning Solutions (VERANDA.NS) as of Oct 10, 2026 is 2.21 M INR. In the previous year, R&D Spending per Employee was 80,259.26 INR — a change of 2,652.59% (higher).

R&D per Employee

2.21 MINR

YoY

2,652.59%

Last updated:

R&D Spending per Employee of Veranda Learning Solutions is 2025 2.21 M INR. R&D Spending per Employee of Veranda Learning Solutions was 2024 80,259.26 INR. It decreases by 2,652.59% higher compared to the previous year.

The Veranda Learning Solutions R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2022
384,827.16 INR
Jan 1, 2023
1.39 M INR
Jan 1, 2024
80,259.26 INR
Jan 1, 2025
2.21 M INR
The Veranda Learning Solutions R&D per Employee history
YEARR&D per EmployeeYoY
2.21 MINR+2,652.59%
80,259.26INR-94.24%
1.39 MINR+262.39%
384,827.16INR—
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Veranda Learning Solutions Stock analysis

What does Veranda Learning Solutions do? Veranda Learning Solutions is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Veranda Learning Solutions stock

R&D Spending per Employee of Veranda Learning Solutions is 2.21 M INR in 2025.

R&D Spending per Employee of Veranda Learning Solutions changed from 80,259.26 INR to 2.21 M INR, representing a 2,652.59% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of R&D Spending per Employee Veranda Learning Solutions since 2006 – with annual values, charts, and detailed analysis.

R&D per employee shows the research and development investment allocated per employee. Higher values indicate innovation-focused companies.

R&D Spending per Employee's INR is a key factor for investors. Changes in this metric can signal improving or deteriorating fundamentals, directly impacting the stock price. On Eulerpool, you can track R&D Spending per Employee's Veranda Learning Solutions historically and in real time.

Access this data via the Eulerpool API

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