Perimeter (PRM) Return on Sales [ROS] (2020 - 2026)
Perimeter Solutions (PRM) posted Return on Sales [ROS] of -94.95% for Q2 2026, down 78.83 percentage points from -16.13% a year earlier and down 152.91 percentage points from the prior quarter.
Perimeter (PRM) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Perimeter Solutions was -50.60%, down 63.34 percentage points year-over-year; for FY2025, it came in at -30.78%, down 30.11 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive years, with a five-year change of -51.83 percentage points (FY2020 to FY2025).
- In prior years, Perimeter Solutions' Return on Sales [ROS] was -0.67% in FY2024 (-29.99 pp), 29.32% in FY2023 (-6.76 pp) and 36.08% in FY2022.
- Quarterly Return on Sales [ROS] has run from a low of -3238.14% in Q4 2021 to a high of 108.02% in Q1 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last five quarters, with an average year-over-year change of -17.26 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2025, with a gain of 234.81 percentage points; the weakest was Q4 2021, with a drop of 3236.92 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 57.96% (Q1 2026), -160.74% (Q4 2025) and -27.69% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 22.81% |
| 10 | Perimeter | 5.03 Bn | 4.42 Bn | 238.36 Mn | 106.82% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 106.82% |
| Jun 30, 2026 | -94.95% |
| Mar 31, 2026 | 57.96% |
| Dec 31, 2025 | -160.74% |
| Sep 30, 2025 | -27.69% |
| Jun 30, 2025 | -16.13% |
| Mar 31, 2025 | 108.02% |
| Dec 31, 2024 | 71.11% |
| Sep 30, 2024 | -12.22% |
| Jun 30, 2024 | 35.37% |
| Mar 31, 2024 | -126.79% |
| Dec 31, 2023 | -15.00% |
| Sep 30, 2023 | 19.04% |
| Jun 30, 2023 | 83.20% |
| Mar 31, 2023 | 29.30% |
| Dec 31, 2022 | -144.78% |
| Sep 30, 2022 | 81.69% |
| Jun 30, 2022 | 15.49% |
| Mar 31, 2022 | 74.55% |
| Dec 31, 2021 | -3,238.14% |
Perimeter Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();