Perimeter (PRM) Non Operating Interest Expenses (2020 - 2026)
Perimeter Solutions' Non Operating Interest Expenses was $19.59 million in Q2 2026, up 97.3% from $9.93 million a year earlier but down 19.6% from the prior quarter.
Perimeter (PRM) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Perimeter Solutions' Non Operating Interest Expenses was $63.51 million through Jun 30, 2026, up 63.7% year-over-year; for FY2025, it was $39.14 million, down 3.3% from FY2024.
- Non Operating Interest Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $40.46 million in FY2024 (-2.2%), $41.38 million in FY2023 (-2.8%) and $42.59 million in FY2022.
- Quarterly Non Operating Interest Expenses has moved between $6.35 million (Q4 2021) and $24.36 million (Q1 2026) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has increased for three straight quarters, with growth averaging 27.8% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2026 (growth of 152.6%); the worst was Q2 2023 (a decline of 14.8%).
- Per Business Quant data, PRM's Non Operating Interest Expenses in the three quarters before Q2 2026 was $24.36 million (Q1 2026), $9.69 million (Q4 2025) and $9.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 129.00 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 212.30 Mn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 198.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 146.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | - |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 83.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 6.40 Mn |
| 10 | Perimeter | 5.03 Bn | 4.42 Bn | 238.36 Mn | 20.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.37 Mn |
| Jun 30, 2026 | 19.59 Mn |
| Mar 31, 2026 | 24.36 Mn |
| Dec 31, 2025 | 9.69 Mn |
| Sep 30, 2025 | 9.87 Mn |
| Jun 30, 2025 | 9.93 Mn |
| Mar 31, 2025 | 9.64 Mn |
| Dec 31, 2024 | 9.17 Mn |
| Sep 30, 2024 | 10.05 Mn |
| Jun 30, 2024 | 10.59 Mn |
| Mar 31, 2024 | 10.65 Mn |
| Dec 31, 2023 | 10.44 Mn |
| Sep 30, 2023 | 10.45 Mn |
| Jun 30, 2023 | 10.34 Mn |
| Mar 31, 2023 | 10.15 Mn |
| Dec 31, 2022 | 10.00 Mn |
| Sep 30, 2022 | 9.94 Mn |
| Jun 30, 2022 | 12.14 Mn |
| Mar 31, 2022 | 10.50 Mn |
| Dec 31, 2021 | 6.35 Mn |
Perimeter Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=PRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=PRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();