Medicalgorithmics Stock

Medicalgorithmics Debt/EBITDA

The Total Debt to EBITDA Ratio of Medicalgorithmics (MDG.WA) as of Aug 23, 2026 is -0.76. In the previous year, Total Debt to EBITDA Ratio was 1.95 — a change of -138.76% (lower).

Debt/EBITDA

-0.76

YoY

-138.76%

Last updated:

Total Debt to EBITDA Ratio of Medicalgorithmics is 2026 -0.76 . Total Debt to EBITDA Ratio of Medicalgorithmics was 2025 1.95 . It decreases by -138.76% lower compared to the previous year.

The Medicalgorithmics Debt/EBITDA history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Debt/EBITDA
Date
Debt/EBITDA
Jan 1, 2017
1.73 PLN
Jan 1, 2018
2.61 PLN
Jan 1, 2019
732.93 PLN
Jan 1, 2020
-1.02 PLN
Jan 1, 2021
1.74 PLN
Jan 1, 2022
0.46 PLN
Jan 1, 2023
1.95 PLN
Jan 1, 2024
-0.76 PLN
The Medicalgorithmics Debt/EBITDA history
YEARDebt/EBITDAYoY
-0.76-138.76%
1.95+322.13%
0.46-73.49%
1.74-270.18%
-1.02-100.14%
732.93+28,023.68%
2.61+50.21%
1.73-62.60%
4.64+319,143.61%
0.00+647.67%
0.00
Access this data via the Eulerpool API

Medicalgorithmics Stock analysis

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

Frequently Asked Questions about Medicalgorithmics stock

Total Debt to EBITDA Ratio of Medicalgorithmics is -0.76 in 2026.

Total Debt to EBITDA Ratio of Medicalgorithmics changed from 1.95 to -0.76, representing a -138.76% change. The value is lower than the previous year.

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

Debt/EBITDA measures total debt relative to earnings before interest, taxes, depreciation, and amortization. It indicates the years needed to repay all debt from EBITDA.

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

Access this data via the Eulerpool API

Leverage — Medicalgorithmics

All Key Metrics — Medicalgorithmics