Data Applications Co Stock

Data Applications Co Forward P/E

The Forward P/E Ratio of Data Applications Co (3848.T) as of Sep 5, 2026 is 25.47. In the previous year, Forward P/E Ratio was 13.84 — a change of 84.02% (higher).

Forward P/E

25.47

YoY

84.02%

Last updated:

Forward P/E Ratio of Data Applications Co is 2026 25.47 . Forward P/E Ratio of Data Applications Co was 2025 13.84 . It decreases by 84.02% higher compared to the previous year.

The Data Applications Co Forward P/E history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Forward P/E
Date
Forward P/E
Jan 1, 2018
14.39 JPY
Jan 1, 2019
13.49 JPY
Jan 1, 2020
25.57 JPY
Jan 1, 2021
41.16 JPY
Jan 1, 2022
21.22 JPY
Jan 1, 2023
31.76 JPY
Jan 1, 2024
13.84 JPY
Jan 1, 2025
25.47 JPY
The Data Applications Co Forward P/E history
YEARForward P/EYoY
25.47+84.02%
13.84-56.43%
31.76+49.71%
21.22-48.45%
41.16+60.98%
25.57+89.51%
13.49-6.23%
14.39-8.02%
15.64-9.02%
17.19-15.41%
20.33-27.26%
27.94
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Data Applications Co Stock analysis

What does Data Applications Co do? Data Applications Co is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Data Applications Co stock

Forward P/E Ratio of Data Applications Co is 25.47 in 2026.

Forward P/E Ratio of Data Applications Co changed from 13.84 to 25.47, representing a 84.02% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of Forward P/E Ratio Data Applications Co since 2006 – with annual values, charts, and detailed analysis.

The Forward P/E uses estimated future earnings to value a stock. A lower forward P/E relative to the trailing P/E suggests analysts expect earnings growth.

To evaluate Forward P/E Ratio's, it is essential to compare it with peers in the same industry and sector. On Eulerpool, you can find direct industry comparisons for Forward P/E Ratio.

A 'good' varies by industry and company stage. On Eulerpool, you can compare Forward P/E Ratio's Data Applications Co with sector peers and the industry average to assess whether it is attractive.

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Valuation — Data Applications Co

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