Profound Medical (PROF) Operating Leases (2019 - 2026)
Profound Medical's Operating Leases came in at $2.75 million for Q2 2026, compared with $72,000 a year earlier and down 4.8% from the prior quarter.
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Analysis
Profound Medical (PROF) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2024, Profound Medical's Operating Leases was $203,000, down 59.7% from FY2023.
- Operating Leases has declined in each of the last five years, with a five-year compound annual growth rate of -34.1% (FY2019 to FY2024).
- Going back by year, Operating Leases was $504,000 in FY2023 (-38.3%), $817,000 in FY2022 (-27.5%), $1.13 million in FY2021 (-17.4%) and $1.36 million in FY2020 (-16.7%).
- The five-year range for quarterly Operating Leases is $72,000 (Q2 2025) to $2.89 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Profound Medical | 206.65 Mn | 33.54 Mn | 1.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.75 Mn |
| Mar 31, 2026 | 2.89 Mn |
| Jun 30, 2025 | 72,000.00 |
| Mar 31, 2025 | 136,000.00 |
| Dec 31, 2024 | 203,000.00 |
| Dec 31, 2023 | 504,000.00 |
| Dec 31, 2022 | 817,000.00 |
| Dec 31, 2021 | 1.13 Mn |
| Dec 31, 2020 | 1.36 Mn |
| Dec 31, 2019 | 1.63 Mn |
API Access
Profound Medical Operating Leases 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=operating-leases&ticker=PROF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=PROF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();