Medicalgorithmics Stock

Medicalgorithmics Asset Turnover

The Asset Turnover Ratio of Medicalgorithmics (MDG.WA) as of Sep 1, 2026 is 0.23. In the previous year, Asset Turnover Ratio was 0.35 — a change of -35.98% (lower).

Asset Turnover

0.23

YoY

-35.98%

Last updated:

Asset Turnover Ratio of Medicalgorithmics is 2026 0.23 . Asset Turnover Ratio of Medicalgorithmics was 2025 0.35 . It decreases by -35.98% lower compared to the previous year.

The Medicalgorithmics Asset Turnover history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Asset Turnover
Date
Asset Turnover
Jan 1, 2017
0.70 PLN
Jan 1, 2018
0.63 PLN
Jan 1, 2019
0.61 PLN
Jan 1, 2020
0.39 PLN
Jan 1, 2021
0.42 PLN
Jan 1, 2022
0.51 PLN
Jan 1, 2023
0.35 PLN
Jan 1, 2024
0.23 PLN
The Medicalgorithmics Asset Turnover history
YEARAsset TurnoverYoY
0.23-35.98%
0.35-31.07%
0.51+21.63%
0.42+7.19%
0.39-35.77%
0.61-2.70%
0.63-10.26%
0.70+103.27%
0.35-28.31%
0.48+54.05%
0.31
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Medicalgorithmics Stock analysis

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

Frequently Asked Questions about Medicalgorithmics stock

Asset Turnover Ratio of Medicalgorithmics is 0.23 in 2026.

Asset Turnover Ratio of Medicalgorithmics changed from 0.35 to 0.23, representing a -35.98% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of Asset Turnover Ratio Medicalgorithmics since 2006 – with annual values, charts, and detailed analysis.

Asset turnover measures how efficiently a company uses its assets to generate revenue. Higher ratios indicate more efficient asset utilization.

A 'good' varies by industry and company stage. On Eulerpool, you can compare Asset Turnover Ratio's Medicalgorithmics with sector peers and the industry average to assess whether it is attractive.

To evaluate Asset Turnover 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 Asset Turnover Ratio.

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Profitability — Medicalgorithmics

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