Perimeter Solutions

Perimeter Solutions Gross Margin

The Gross Margin of Perimeter Solutions (PRM) as of Oct 12, 2026 is 57.46 %. In the previous year, Gross Margin was 56.52 % — a change of 1.66% (higher).

Gross Margin

57.46 %

YoY

1.66%

Last updated:

Gross Margin of Perimeter Solutions is 2025 57.46 % . Gross Margin of Perimeter Solutions was 2024 56.52 % . It decreases by 1.66% higher compared to the previous year.

Perimeter Solutions's gross margin stands at 64.9%, up from 61.8% several years earlier.

The Perimeter Solutions Gross Margin history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Gross Margin
Date
Gross Margin
Jan 1, 2019
35.05 USD
Jan 1, 2020
47.72 USD
Jan 1, 2021
47.64 USD
Jan 1, 2022
35.69 USD
Jan 1, 2023
39.83 USD
Jan 1, 2024
56.52 USD
Jan 1, 2025
57.46 USD
The Perimeter Solutions Gross Margin history
YEARGross MarginYoY
57.46 %+1.66%
56.52 %+41.92%
39.83 %+11.61%
35.69 %-25.09%
47.64 %-0.17%
47.72 %+36.14%
35.05 %—
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Perimeter Solutions Stock analysis

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

Frequently Asked Questions about Perimeter Solutions stock

Gross Margin of Perimeter Solutions is 57.46 % in 2025.

Gross Margin of Perimeter Solutions changed from 56.52 % to 57.46 %, representing a 1.66% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of Gross Margin Perimeter Solutions since 2006 – with annual values, charts, and detailed analysis.

Gross Margin measures the percentage of revenue remaining after COGS. Higher gross margins indicate more efficient production and stronger pricing power.

A 'good' varies by industry and company stage. On Eulerpool, you can compare Gross Margin's Perimeter Solutions with sector peers and the industry average to assess whether it is attractive.

To evaluate Gross Margin's, it is essential to compare it with peers in the same industry and sector. On Eulerpool, you can find direct industry comparisons for Gross Margin.

Access this data via the Eulerpool API

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