Perimeter Solutions (PRM) Gross Margin (2020 - 2026)
Perimeter Solutions (PRM) recorded Gross Margin of 55.13% in Q2 2026, down 7.28 percentage points from 62.41% a year earlier but up 14.52 percentage points from the prior quarter.
Perimeter Solutions (PRM) Gross Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Perimeter Solutions' Gross Margin came in at 54.70% as of Jun 30, 2026, down 3.19 percentage points year-over-year; for FY2025, it came in at 57.46%, up 0.94 percentage points from FY2024.
- Annual Gross Margin has increased for four straight years, with a five-year change of +9.74 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 56.52% in FY2024 (+16.69 pp), 39.83% in FY2023 (+4.14 pp), 35.69% in FY2022 (+48.47 pp) and -12.78% in FY2021 (-60.50 pp).
- Quarterly Gross Margin has ranged from -8.30% in Q4 2022 to 63.12% in Q3 2025 over the past five years.
- On a year-over-year basis, Gross Margin rose in six of the last eight quarters, with an average year-over-year change of +3.86 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 39.81 percentage points in Q4 2023, against a drop of 7.28 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 40.61% (Q1 2026), 45.15% (Q4 2025) and 63.12% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 37.78% |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 40.51% |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 36.94% |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 33.47% |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 39.04% |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 37.71% |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 54.48% |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 41.28% |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 44.13% |
| 10 | Perimeter Solutions | 4.57 Bn | 3.72 Bn | 117.87 Mn | 55.13% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.13% |
| Mar 31, 2026 | 40.61% |
| Dec 31, 2025 | 45.15% |
| Sep 30, 2025 | 63.12% |
| Jun 30, 2025 | 62.41% |
| Mar 31, 2025 | 39.09% |
| Dec 31, 2024 | 48.58% |
| Sep 30, 2024 | 62.83% |
| Jun 30, 2024 | 57.57% |
| Mar 31, 2024 | 35.06% |
| Dec 31, 2023 | 31.52% |
| Sep 30, 2023 | 48.95% |
| Jun 30, 2023 | 38.52% |
| Mar 31, 2023 | 23.71% |
| Sep 30, 2022 | 54.05% |
| Jun 30, 2022 | 28.64% |
| Mar 31, 2022 | 28.42% |
| Dec 31, 2021 | -12.78% |
| Sep 30, 2021 | 55.95% |
| Jun 30, 2021 | 43.94% |
Perimeter Solutions Gross Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=gross-margin&ticker=PRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "PRM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=PRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();