Profound Medical (PROF) Change in Accured Expenses (2024 - 2026)
Profound Medical (PROF) posted Change in Accured Expenses of -$1.3 million for Q2 2026, compared with $245,000 a year earlier.
Profound Medical (PROF) Change in Accured Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Profound Medical was -$1.16 million; for FY2025, it was $378,000, down 53.6% from FY2024.
- In prior years, Profound Medical's Change in Accured Expenses was $815,000 in FY2024 (-39.8%) and $1.35 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Change in Accured Expenses in data going back to Q1 2024.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $311,000 (Q1 2026), $40,000 (Q4 2025) and -$207,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Profound Medical | 211.89 Mn | 38.77 Mn | 1.95 Mn | -1.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.30 Mn |
| Mar 31, 2026 | 311,000.00 |
| Dec 31, 2025 | 40,000.00 |
| Sep 30, 2025 | -207,000.00 |
| Jun 30, 2025 | 245,000.00 |
| Mar 31, 2025 | 300,000.00 |
| Dec 31, 2024 | 646,000.00 |
| Sep 30, 2024 | 676,000.00 |
| Jun 30, 2024 | 63,000.00 |
| Mar 31, 2024 | -570,000.00 |
Profound Medical Change in Accured 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=change-in-accured-expenses&ticker=PROF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PROF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();