Precipio

Precipio R&D per Employee

The R&D Spending per Employee of Precipio (PRPO) as of Oct 10, 2026 is 37,704.92 USD. In the previous year, R&D Spending per Employee was 44,262.30 USD — a change of -14.81% (lower).

R&D per Employee

37,704.92USD

YoY

-14.81%

Last updated:

R&D Spending per Employee of Precipio is 2024 37,704.92 USD. R&D Spending per Employee of Precipio was 2023 44,262.30 USD. It decreases by -14.81% lower compared to the previous year.

The Precipio R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2017
8,196.72 USD
Jan 1, 2018
18,032.79 USD
Jan 1, 2019
45,737.70 USD
Jan 1, 2020
36,065.57 USD
Jan 1, 2021
37,704.92 USD
Jan 1, 2022
44,262.30 USD
Jan 1, 2023
44,262.30 USD
Jan 1, 2024
37,704.92 USD
The Precipio R&D per Employee history
YEARR&D per EmployeeYoY
37,704.92USD-14.81%
44,262.30USD0.00%
44,262.30USD+17.39%
37,704.92USD+4.55%
36,065.57USD-21.15%
45,737.70USD+153.64%
18,032.79USD+120.00%
8,196.72USD-64.84%
23,311.48USD-23.26%
30,377.05USD-36.04%
47,491.80USD—
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Precipio Stock analysis

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

Frequently Asked Questions about Precipio stock

R&D Spending per Employee of Precipio is 37,704.92 USD in 2024.

R&D Spending per Employee of Precipio changed from 44,262.30 USD to 37,704.92 USD, representing a -14.81% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of R&D Spending per Employee Precipio since 2006 – with annual values, charts, and detailed analysis.

R&D per employee shows the research and development investment allocated per employee. Higher values indicate innovation-focused companies.

R&D Spending 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 R&D Spending per Employee's Precipio historically and in real time.

Access this data via the Eulerpool API

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