Datavault AI Stock

Datavault AI EBITDA per Employee

The EBITDA per Employee of Datavault AI (DVLT) as of Sep 7, 2026 is -1.51 M USD. In the previous year, EBITDA per Employee was -1.29 M USD — a change of 17.69% (lower).

EBITDA per Employee

-1.51 MUSD

YoY

17.69%

Last updated:

EBITDA per Employee of Datavault AI is 2026 -1.51 M USD. EBITDA per Employee of Datavault AI was 2025 -1.29 M USD. It decreases by 17.69% lower compared to the previous year.

The Datavault AI EBITDA per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

EBITDA per Employee
Date
EBITDA per Employee
Jan 1, 2018
-296,692.31 USD
Jan 1, 2019
-286,179.49 USD
Jan 1, 2020
-289,871.79 USD
Jan 1, 2021
-302,794.87 USD
Jan 1, 2022
-462,666.67 USD
Jan 1, 2023
-550,179.49 USD
Jan 1, 2024
-1.29 M USD
Jan 1, 2025
-1.51 M USD
The Datavault AI EBITDA per Employee history
YEAREBITDA per EmployeeYoY
-1.51 MUSD+17.69%
-1.29 MUSD+133.66%
-550,179.49USD+18.91%
-462,666.67USD+52.80%
-302,794.87USD+4.46%
-289,871.79USD+1.29%
-286,179.49USD-3.54%
-296,692.31USD+69.13%
-175,423.62USD-19.48%
-217,861.28USD-3.67%
-226,169.23USD
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Datavault AI Stock analysis

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

Frequently Asked Questions about Datavault AI stock

EBITDA per Employee of Datavault AI is -1.51 M USD in 2026.

EBITDA per Employee of Datavault AI changed from -1.29 M USD to -1.51 M USD, representing a 17.69% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of EBITDA per Employee Datavault AI since 2006 – with annual values, charts, and detailed analysis.

EBITDA per employee measures operating cash earnings generated per employee, showing workforce productivity before depreciation and financing effects.

EBITDA per Employee'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 EBITDA per Employee's Datavault AI historically and in real time.

Access this data via the Eulerpool API

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