Profound Medical (PROF) Finished Goods (2019 - 2026)
Profound Medical (PROF) recorded Finished Goods of $5.9 million in Q2 2026, up 4.9% from $5.62 million a year earlier and up 15.4% from the prior quarter.
Profound Medical (PROF) Finished Goods (2019 - 2026) Analysis & Trends
At the end of FY2025, Profound Medical reported Finished Goods of $5.28 million, up 37.6% from FY2024.
- Across earlier years, Finished Goods came in at $3.84 million in FY2024 (-17.3%) and $4.64 million in FY2023.
- The Q2 2026 figure is the highest quarterly Finished Goods in data going back to Q4 2023.
- On a year-over-year basis, Finished Goods has increased for three consecutive quarters, with growth averaging 8.9% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $5.11 million (Q1 2026), $5.28 million (Q4 2025) and $5.84 million (Q3 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.30 Mn |
| Jun 30, 2026 | 5.90 Mn |
| Mar 31, 2026 | 5.11 Mn |
| Dec 31, 2025 | 5.28 Mn |
| Sep 30, 2025 | 5.84 Mn |
| Jun 30, 2025 | 5.62 Mn |
| Mar 31, 2025 | 4.63 Mn |
| Dec 31, 2024 | 3.84 Mn |
| Dec 31, 2023 | 4.64 Mn |
| Dec 31, 2019 | 3,748.68 |
Profound Medical Finished Goods 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=finished-goods&ticker=PROF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=PROF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();