Spectra Systems

Spectra Systems Acquisitions (Net)

The Acquisitions (Net) of Spectra Systems (SPSY.L) as of Oct 9, 2026 is -1.55 M USD. In the previous year, Acquisitions (Net) was -6.19 M USD — a change of -74.96% (higher).

Acquisitions (Net)

-1.55 MUSD

YoY

-74.96%

Last updated:

Acquisitions (Net) of Spectra Systems is 2024 -1.55 M USD. Acquisitions (Net) of Spectra Systems was 2023 -6.19 M USD. It decreases by -74.96% higher compared to the previous year.

The Spectra Systems Acquisitions (Net) history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Acquisitions (Net)
Date
Acquisitions (Net)
Jan 1, 2017
398,100.00 USD
Jan 1, 2018
0.00 USD
Jan 1, 2019
-245,500.00 USD
Jan 1, 2020
247,600.00 USD
Jan 1, 2021
635,500.00 USD
Jan 1, 2022
0.00 USD
Jan 1, 2023
-6.19 M USD
Jan 1, 2024
-1.55 M USD
The Spectra Systems Acquisitions (Net) history
YEARAcquisitions (Net)YoY
-1.55 MUSD-74.96%
-6.19 MUSD—
0.00USD-100.00%
635,500.00USD+156.66%
247,600.00USD-200.86%
-245,500.00USD—
0.00USD-100.00%
398,100.00USD-112.69%
-3.14 MUSD-358.70%
1.21 MUSD-216.32%
-1.04 MUSD—
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Spectra Systems Stock analysis

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

Frequently Asked Questions about Spectra Systems stock

Acquisitions (Net) of Spectra Systems is -1.55 M USD in 2024.

Acquisitions (Net) of Spectra Systems changed from -6.19 M USD to -1.55 M USD, representing a -74.96% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of Acquisitions (Net) Spectra Systems 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 USD 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 Spectra Systems historically and in real time.

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