E & M Computing

E & M Computing Acquisitions (Net)

Delisted·Jul 2, 2026

The Acquisitions (Net) of E & M Computing (EMCO.TA) as of Oct 10, 2026 is -11.42 M ILS. In the previous year, Acquisitions (Net) was -7.34 M ILS — a change of 55.56% (lower).

Acquisitions (Net)

-11.42 MILS

YoY

55.56%

Last updated:

Acquisitions (Net) of E & M Computing is 2024 -11.42 M ILS. Acquisitions (Net) of E & M Computing was 2023 -7.34 M ILS. It decreases by 55.56% lower compared to the previous year.

The E & M Computing Acquisitions (Net) history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Acquisitions (Net)
Date
Acquisitions (Net)
Jan 1, 2017
2.77 M ILS
Jan 1, 2018
-7.84 M ILS
Jan 1, 2019
-1.11 M ILS
Jan 1, 2020
-5.63 M ILS
Jan 1, 2021
-59.42 M ILS
Jan 1, 2022
-2.03 M ILS
Jan 1, 2023
-7.34 M ILS
Jan 1, 2024
-11.42 M ILS
The E & M Computing Acquisitions (Net) history
YEARAcquisitions (Net)YoY
-11.42 MILS+55.56%
-7.34 MILS+261.09%
-2.03 MILS-96.58%
-59.42 MILS+956.43%
-5.63 MILS+404.94%
-1.11 MILS-85.79%
-7.84 MILS-382.80%
2.77 MILS-152.79%
-5.25 MILS+394.63%
-1.06 MILS-138.08%
2.79 MILS—
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E & M Computing Stock analysis

What does E & M Computing do? E & M Computing is one of the most popular companies on Eulerpool.

Frequently Asked Questions about E & M Computing stock

Acquisitions (Net) of E & M Computing is -11.42 M ILS in 2024.

Acquisitions (Net) of E & M Computing changed from -7.34 M ILS to -11.42 M ILS, representing a 55.56% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of Acquisitions (Net) E & M Computing 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 ILS 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 E & M Computing historically and in real time.

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