Ginni Filaments

Ginni Filaments R&D per Employee

The R&D Spending per Employee of Ginni Filaments (GINNIFILA.NS) as of Oct 9, 2026 is 3,570.58 INR. In the previous year, R&D Spending per Employee was 2,244.29 INR — a change of 59.10% (higher).

R&D per Employee

3,570.58INR

YoY

59.10%

Last updated:

R&D Spending per Employee of Ginni Filaments is 2025 3,570.58 INR. R&D Spending per Employee of Ginni Filaments was 2024 2,244.29 INR. It decreases by 59.10% higher compared to the previous year.

The Ginni Filaments R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2017
12,916.74 INR
Jan 1, 2018
13,524.94 INR
Jan 1, 2020
4,061.71 INR
Jan 1, 2021
1,109.89 INR
Jan 1, 2022
1,614.12 INR
Jan 1, 2023
969.57 INR
Jan 1, 2024
2,244.29 INR
Jan 1, 2025
3,570.58 INR
The Ginni Filaments R&D per Employee history
YEARR&D per EmployeeYoY
3,570.58INR+59.10%
2,244.29INR+131.47%
969.57INR-39.93%
1,614.12INR+45.43%
1,109.89INR-72.67%
4,061.71INR-69.97%
13,524.94INR+4.71%
12,916.74INR—
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Ginni Filaments Stock analysis

What does Ginni Filaments do? Ginni Filaments is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Ginni Filaments stock

R&D Spending per Employee of Ginni Filaments is 3,570.58 INR in 2025.

R&D Spending per Employee of Ginni Filaments changed from 2,244.29 INR to 3,570.58 INR, representing a 59.10% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of R&D Spending per Employee Ginni Filaments 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 Ginni Filaments historically and in real time.

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