PKSHA Technology

PKSHA Technology Net Debt / EBITDA

The Net Debt to EBITDA of PKSHA Technology (3993.T) as of Oct 27, 2026 is -1.79. In the previous year, Net Debt to EBITDA was -2.81 — a change of -36.20% (higher).

Net Debt / EBITDA

-1.79

YoY

-36.20%

Last updated:

Net Debt to EBITDA of PKSHA Technology is 2025 -1.79 . Net Debt to EBITDA of PKSHA Technology was 2024 -2.81 . It decreases by -36.20% higher compared to the previous year.

The PKSHA Technology Net Debt / EBITDA history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Net Debt / EBITDA
Date
Net Debt / EBITDA
Jan 1, 2018
-9.10 JPY
Jan 1, 2019
-28.32 JPY
Jan 1, 2020
-36.27 JPY
Jan 1, 2021
-8.41 JPY
Jan 1, 2022
-3.62 JPY
Jan 1, 2023
-8.43 JPY
Jan 1, 2024
-2.81 JPY
Jan 1, 2025
-1.79 JPY
The PKSHA Technology Net Debt / EBITDA history
YEARNet Debt / EBITDAYoY
-1.79-36.20%
-2.81-66.64%
-8.43+132.59%
-3.62-56.92%
-8.41-76.81%
-36.27+28.06%
-28.32+211.24%
-9.10-34.31%
-13.85+670.26%
-1.80—

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PKSHA Technology Stock analysis

What does PKSHA Technology do? PKSHA Technology Inc is a Japanese company specializing in the development of products and solutions in the field of artificial intelligence (AI) and big data analysis. The company was founded in 2014 by consultant Hitoshi Maeda and has since experienced strong growth. PKSHA Technology is one of the most popular companies on Eulerpool.

Frequently Asked Questions about PKSHA Technology stock

Net Debt to EBITDA of PKSHA Technology is -1.79 in 2025.

Net Debt to EBITDA of PKSHA Technology changed from -2.81 to -1.79, representing a -36.20% change. The value is higher than the previous year.

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

Net Debt/EBITDA measures how many years it would take to repay all debt using EBITDA. Lower ratios indicate stronger debt repayment capacity.

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

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