Sands Lab

Sands Lab Net Debt / EBITDA

The Net Debt to EBITDA of Sands Lab (411080.KQ) as of Nov 2, 2026 is 11.88. In the previous year, Net Debt to EBITDA was 85.24 — a change of -86.06% (lower).

Net Debt / EBITDA

11.88

YoY

-86.06%

Last updated:

Net Debt to EBITDA of Sands Lab is 2024 11.88 . Net Debt to EBITDA of Sands Lab was 2023 85.24 . It decreases by -86.06% lower compared to the previous year.

The Sands Lab Net Debt / EBITDA history

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Net Debt / EBITDA
Date
Net Debt / EBITDA
Jan 1, 2020
505.75 KRW
Jan 1, 2021
-8.21 KRW
Jan 1, 2022
-2.85 KRW
Jan 1, 2023
85.24 KRW
Jan 1, 2024
11.88 KRW
The Sands Lab Net Debt / EBITDA history
YEARNet Debt / EBITDAYoY
11.88-86.06%
85.24-3,094.25%
-2.85-65.35%
-8.21-101.62%
505.75—

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Sands Lab Stock analysis

What does Sands Lab do? Sands Lab Inc is a company based in Gwacheon, South Korea, operating in the Information Technology sector. It provides database and online information services, with 44 employees. The company completed its IPO on February 15, 2023. Sands Lab develops CTI platforms and uses artificial intelligence and big data technology for cybersecurity threat prediction and response. Its products include malware network shield (MNX), malware document shield (MDX), malware agent shield (MAX), and other system integration platforms. Sands Lab is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Sands Lab stock

Net Debt to EBITDA of Sands Lab is 11.88 in 2024.

Net Debt to EBITDA of Sands Lab changed from 85.24 to 11.88, representing a -86.06% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of Net Debt to EBITDA Sands Lab 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 Sands Lab with sector peers and the industry average to assess whether it is attractive.

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