Steelcast

Steelcast R&D per Employee

The R&D Spending per Employee of Steelcast (STEELCAS.NS) as of Oct 9, 2026 is 28,197.79 INR. In the previous year, R&D Spending per Employee was 24,458.56 INR — a change of 15.29% (higher).

R&D per Employee

28,197.79INR

YoY

15.29%

Last updated:

R&D Spending per Employee of Steelcast is 2025 28,197.79 INR. R&D Spending per Employee of Steelcast was 2024 24,458.56 INR. It decreases by 15.29% higher compared to the previous year.

The Steelcast R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2018
24,204.42 INR
Jan 1, 2019
16,461.88 INR
Jan 1, 2020
16,774.59 INR
Jan 1, 2021
22,435.36 INR
Jan 1, 2022
32,165.75 INR
Jan 1, 2023
32,728.18 INR
Jan 1, 2024
24,458.56 INR
Jan 1, 2025
28,197.79 INR
The Steelcast R&D per Employee history
YEARR&D per EmployeeYoY
28,197.79INR+15.29%
24,458.56INR-25.27%
32,728.18INR+1.75%
32,165.75INR+43.37%
22,435.36INR+33.75%
16,774.59INR+1.90%
16,461.88INR-31.99%
24,204.42INR+43.99%
16,809.62INR-6.56%
17,990.06INR—
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Steelcast Stock analysis

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

Frequently Asked Questions about Steelcast stock

R&D Spending per Employee of Steelcast is 28,197.79 INR in 2025.

R&D Spending per Employee of Steelcast changed from 24,458.56 INR to 28,197.79 INR, representing a 15.29% change. The value is higher than the previous year.

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

Access this data via the Eulerpool API

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