PCF Group

PCF Group EV/Revenue

The EV/Revenue (Enterprise Value to Revenue) of PCF Group (PCF.WA) as of Oct 11, 2026 is 0.94. In the previous year, EV/Revenue (Enterprise Value to Revenue) was 0.88 — a change of 6.69% (higher).

EV/Revenue

0.94

YoY

6.69%

Last updated:

EV/Revenue (Enterprise Value to Revenue) of PCF Group is 2025 0.94 . EV/Revenue (Enterprise Value to Revenue) of PCF Group was 2024 0.88 . It decreases by 6.69% higher compared to the previous year.

The PCF Group EV/Revenue history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

EV/Revenue
Date
EV/Revenue
Jan 1, 2018
1.85 PLN
Jan 1, 2019
1.63 PLN
Jan 1, 2020
1.32 PLN
Jan 1, 2021
0.36 PLN
Jan 1, 2022
0.79 PLN
Jan 1, 2023
0.26 PLN
Jan 1, 2024
0.88 PLN
Jan 1, 2025
0.94 PLN
The PCF Group EV/Revenue history
YEAREV/RevenueYoY
0.94+6.69%
0.88+244.94%
0.26-67.43%
0.79+117.28%
0.36-72.69%
1.32-18.88%
1.63-11.58%
1.85-44.19%
3.31—
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PCF Group Stock analysis

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

Frequently Asked Questions about PCF Group stock

EV/Revenue (Enterprise Value to Revenue) of PCF Group is 0.94 in 2025.

EV/Revenue (Enterprise Value to Revenue) of PCF Group changed from 0.88 to 0.94, representing a 6.69% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of EV/Revenue (Enterprise Value to Revenue) PCF Group since 2006 – with annual values, charts, and detailed analysis.

The EV/Revenue ratio compares a company's enterprise value to its total revenue. It is particularly useful for valuing high-growth companies that may not yet be profitable.

To evaluate EV/Revenue (Enterprise Value to Revenue)'s, it is essential to compare it with peers in the same industry and sector. On Eulerpool, you can find direct industry comparisons for EV/Revenue (Enterprise Value to Revenue).

A 'good' varies by industry and company stage. On Eulerpool, you can compare EV/Revenue (Enterprise Value to Revenue)'s PCF Group with sector peers and the industry average to assess whether it is attractive.

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