Datasection

Datasection Depreciation & Amortization

The Depreciation & Amortization of Datasection (3905.T) as of Oct 9, 2026 is 96.80 M JPY. In the previous year, Depreciation & Amortization was 47.14 M JPY — a change of 105.35% (higher).

Depreciation & Amortization

96.80 MJPY

YoY

105.35%

Last updated:

Depreciation & Amortization of Datasection is 2025 96.80 M JPY. Depreciation & Amortization of Datasection was 2024 47.14 M JPY. It decreases by 105.35% higher compared to the previous year.

The Datasection Depreciation & Amortization history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Depreciation & Amortization
Date
Depreciation & Amortization
Jan 1, 2015
0.00 JPY
Jan 1, 2019
33.25 M JPY
Jan 1, 2020
30.35 M JPY
Jan 1, 2021
96.99 M JPY
Jan 1, 2022
96.61 M JPY
Jan 1, 2023
566.21 M JPY
Jan 1, 2024
47.14 M JPY
Jan 1, 2025
96.80 M JPY
The Datasection Depreciation & Amortization history
YEARDepreciation & AmortizationYoY
96.80 MJPY+105.35%
47.14 MJPY-91.68%
566.21 MJPY+486.07%
96.61 MJPY-0.39%
96.99 MJPY+219.62%
30.35 MJPY-8.73%
33.25 MJPY—
0.00JPY—
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Datasection Stock analysis

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

Frequently Asked Questions about Datasection stock

Depreciation & Amortization of Datasection is 96.80 M JPY in 2025.

Depreciation & Amortization of Datasection changed from 47.14 M JPY to 96.80 M JPY, representing a 105.35% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of Depreciation & Amortization Datasection since 2006 – with annual values, charts, and detailed analysis.

Depreciation & Amortization represents the allocation of the cost of tangible and intangible assets over their useful lives.

Depreciation & Amortization's JPY 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 Depreciation & Amortization's Datasection historically and in real time.

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