Profound Medical (PROF) Accumulated Expenses (2023 - 2026)
Profound Medical (PROF) recorded Accumulated Expenses of $3.13 million in Q2 2026, down 17.8% from $3.8 million a year earlier and down 7.7% from the prior quarter.
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Analysis
Profound Medical (PROF) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Profound Medical reported Accumulated Expenses of $3.82 million, up 34.6% from FY2024.
- Across earlier years, Accumulated Expenses came in at $2.84 million in FY2024 (+17.2%) and $2.42 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses since Q4 2024.
- On a year-over-year basis, Accumulated Expenses rose in three of the last four quarters, with growth averaging 8.8%.
- Per Business Quant, the preceding three quarters came in at $3.39 million (Q1 2026), $3.82 million (Q4 2025) and $3.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Profound Medical | 281.29 Mn | 99.66 Mn | 7.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.52 Mn |
| Jun 30, 2026 | 3.13 Mn |
| Mar 31, 2026 | 3.39 Mn |
| Dec 31, 2025 | 3.82 Mn |
| Sep 30, 2025 | 3.97 Mn |
| Jun 30, 2025 | 3.80 Mn |
| Mar 31, 2025 | 3.35 Mn |
| Dec 31, 2024 | 2.84 Mn |
| Dec 31, 2023 | 2.42 Mn |
API Access
Profound Medical Accumulated 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=accumulated-expenses&ticker=PROF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PROF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();