Perimeter Solutions (PRM) Selling, General & Administrative (2020 - 2026)
Perimeter Solutions' Selling, General & Administrative was $26.99 million in Q2 2026, up 69.1% from $15.97 million a year earlier and up 17.1% from the prior quarter.
Perimeter Solutions (PRM) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Perimeter Solutions' Selling, General & Administrative was $95.36 million through Jun 30, 2026, up 32.8% year-over-year; for FY2025, it came in at $77.58 million, up 16.0% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $66.9 million in FY2024 (+43.8%), $46.51 million in FY2023 (-22.9%), $60.32 million in FY2022 (+255.2%) and $16.98 million in FY2021 (-55.0%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q3 2020.
- Compared with a year earlier, Selling, General & Administrative has increased for 11 straight quarters, with growth averaging 34.7% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2023 (growth of 132.6%); the worst was Q1 2023 (a decline of 58.1%).
- Per Business Quant data, PRM's Selling, General & Administrative in the three quarters before Q2 2026 was $23.06 million (Q1 2026), $21.83 million (Q4 2025) and $23.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Perimeter Solutions | 4.31 Bn | 3.47 Bn | 117.87 Mn | 26.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.99 Mn |
| Mar 31, 2026 | 23.06 Mn |
| Dec 31, 2025 | 21.83 Mn |
| Sep 30, 2025 | 23.48 Mn |
| Jun 30, 2025 | 15.97 Mn |
| Mar 31, 2025 | 16.30 Mn |
| Dec 31, 2024 | 21.01 Mn |
| Sep 30, 2024 | 18.52 Mn |
| Jun 30, 2024 | 13.91 Mn |
| Mar 31, 2024 | 13.46 Mn |
| Dec 31, 2023 | 13.58 Mn |
| Sep 30, 2023 | 12.69 Mn |
| Jun 30, 2023 | 12.23 Mn |
| Mar 31, 2023 | 8.02 Mn |
| Sep 30, 2022 | 15.65 Mn |
| Jun 30, 2022 | 19.68 Mn |
| Mar 31, 2022 | 19.15 Mn |
| Dec 31, 2021 | 16.98 Mn |
| Sep 30, 2021 | 15.33 Mn |
| Jun 30, 2021 | 18.28 Mn |
Perimeter Solutions Selling, General & Administrative 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=selling-general-and-administrative&ticker=PRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();