Datasection

Datasection Acquisitions (Net)

The Acquisitions (Net) of Datasection (3905.T) as of Oct 10, 2026 is -171.16 M JPY. In the previous year, Acquisitions (Net) was 125.09 M JPY — a change of -236.82% (lower).

Acquisitions (Net)

-171.16 MJPY

YoY

-236.82%

Last updated:

Acquisitions (Net) of Datasection is 2025 -171.16 M JPY. Acquisitions (Net) of Datasection was 2024 125.09 M JPY. It decreases by -236.82% lower compared to the previous year.

The Datasection Acquisitions (Net) history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Acquisitions (Net)
Date
Acquisitions (Net)
Jan 1, 2018
-198.19 M JPY
Jan 1, 2019
-472.44 M JPY
Jan 1, 2020
-27.22 M JPY
Jan 1, 2021
-335.00 M JPY
Jan 1, 2022
-114.08 M JPY
Jan 1, 2023
41.05 M JPY
Jan 1, 2024
125.09 M JPY
Jan 1, 2025
-171.16 M JPY
The Datasection Acquisitions (Net) history
YEARAcquisitions (Net)YoY
-171.16 MJPY-236.82%
125.09 MJPY+204.75%
41.05 MJPY-135.98%
-114.08 MJPY-65.95%
-335.00 MJPY+1,130.89%
-27.22 MJPY-94.24%
-472.44 MJPY+138.37%
-198.19 MJPY+166.45%
-74.38 MJPY+1,733.00%
-4.06 MJPY-82.99%
-23.85 MJPY+103.85%
-11.70 MJPY—
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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

Acquisitions (Net) of Datasection is -171.16 M JPY in 2025.

Acquisitions (Net) of Datasection changed from 125.09 M JPY to -171.16 M JPY, representing a -236.82% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of Acquisitions (Net) Datasection since 2006 – with annual values, charts, and detailed analysis.

Net acquisitions represent the cash spent on acquiring other businesses, net of divestitures. Large acquisitions can transform a company's growth trajectory.

Acquisitions (Net)'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 Acquisitions (Net)'s Datasection historically and in real time.

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