Profound Medical (PROF) Other Accumulated Expenses (2023 - 2026)
Profound Medical's Other Accumulated Expenses was $996,000 in Q2 2026, up 95.7% from $509,000 a year earlier but down 2.0% from the prior quarter.
Profound Medical (PROF) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Profound Medical came in at $944,000, down 47.7% from FY2024.
- In earlier years, Other Accumulated Expenses was $1.8 million in FY2024 (+79.7%) and $1 million in FY2023.
- Quarterly Other Accumulated Expenses has moved between $509,000 (Q2 2025) and $1.8 million (Q4 2024) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in three of the last four quarters, with growth averaging 33.5%.
- Per Business Quant data, PROF's Other Accumulated Expenses in the three quarters before Q2 2026 was $1.02 million (Q1 2026), $944,000 (Q4 2025) and $630,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Profound Medical | 213.72 Mn | 40.60 Mn | 1.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 996,000.00 |
| Mar 31, 2026 | 1.02 Mn |
| Dec 31, 2025 | 944,000.00 |
| Sep 30, 2025 | 630,000.00 |
| Jun 30, 2025 | 509,000.00 |
| Mar 31, 2025 | 955,000.00 |
| Dec 31, 2024 | 1.80 Mn |
| Dec 31, 2023 | 1.00 Mn |
Profound Medical Other 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=other-accumulated-expenses&ticker=PROF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=PROF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();