Profound Medical (PROF) Operating Expenses (2018 - 2026)
Profound Medical (PROF) reported Operating Expenses of $13.01 million for Q2 2026, down 15.6% from $15.42 million a year earlier but up 9.8% from the prior quarter.
Profound Medical (PROF) Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Profound Medical's Operating Expenses came in at $49.07 million, down 2.9% year-over-year; for FY2025, it came in at $52.65 million, up 31.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $40.1 million in FY2024 (+21.6%), $32.96 million in FY2023 (-6.2%), $35.15 million in FY2022 (+5.7%) and $33.24 million in FY2021 (+48.8%).
- Five-year quarterly Operating Expenses spans a low of $8.74 million in Q1 2024 and a high of $15.42 million in Q2 2025.
- Year over year, Operating Expenses gained in four of the last six quarters, with growth averaging 18.4%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.85 million (Q1 2026), $11.36 million (Q4 2025) and $12.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 1.43 Bn |
| 10 | Profound Medical | 281.29 Mn | 99.66 Mn | 7.68 Mn | 15.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.50 Mn |
| Jun 30, 2026 | 13.01 Mn |
| Mar 31, 2026 | 11.85 Mn |
| Dec 31, 2025 | 11.36 Mn |
| Sep 30, 2025 | 12.84 Mn |
| Jun 30, 2025 | 15.42 Mn |
| Mar 31, 2025 | 13.02 Mn |
| Dec 31, 2024 | 11.31 Mn |
| Sep 30, 2024 | 10.79 Mn |
| Jun 30, 2024 | 9.26 Mn |
| Mar 31, 2024 | 8.74 Mn |
| Dec 31, 2023 | 9.81 Mn |
| Sep 30, 2023 | 7.62 Mn |
| Jun 30, 2023 | 7.49 Mn |
| Mar 31, 2023 | 8.05 Mn |
| Dec 31, 2022 | 9.38 Mn |
| Sep 30, 2022 | 9.32 Mn |
| Jun 30, 2022 | 8.71 Mn |
| Mar 31, 2022 | 7.73 Mn |
| Dec 31, 2021 | 10.23 Mn |
Profound Medical Operating 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=operating-expenses&ticker=PROF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PROF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=PROF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();