Profound Medical (PROF) Price to Earnings (2019 - 2026)
Profound Medical's (PROF) Price to Earnings was 4.64 for Q2 2026, down 4.9% from 4.88 a year earlier and down 8.9% from the prior quarter.
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Analysis
Profound Medical (PROF) Price to Earnings (2019 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Profound Medical was 5.59, down 16.4% from FY2024.
- By year, Price to Earnings came in at 6.69 in FY2024.
- Five-year quarterly Price to Earnings spans a low of 3.72 in Q4 2025 and a high of 6.69 in Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at 5.09 (Q1 2026), 3.72 (Q4 2025) and 3.91 (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 | 4.03 |
| Jun 30, 2026 | 4.64 |
| Mar 31, 2026 | 5.09 |
| Dec 31, 2025 | 5.59 |
| Sep 30, 2025 | 9.06 |
| Jun 30, 2025 | 11.90 |
| Mar 31, 2025 | 7.39 |
| Dec 31, 2024 | 6.69 |
| Sep 30, 2023 | 7.30 |
| Jun 30, 2023 | 9.49 |
| Mar 31, 2023 | 7.13 |
| Dec 31, 2022 | 7.93 |
| Sep 30, 2022 | 2.86 |
| Jun 30, 2022 | 5.00 |
| Mar 31, 2022 | 5.95 |
| Dec 31, 2021 | 7.60 |
| Sep 30, 2021 | 10.54 |
| Jun 30, 2021 | 11.73 |
| Mar 31, 2021 | 15.39 |
| Dec 31, 2020 | 19.22 |
API Access
Profound Medical Price to Earnings 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=price-to-earnings&ticker=PROF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=PROF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();