Edap Tms (FOCL) Operating Leases (2019 - 2026)
Edap Tms (FOCL) posted Operating Leases of $644,000 for Q2 2026, down 66.3% from the prior quarter.
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Analysis
Edap Tms (FOCL) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Edap Tms' Operating Leases came in at $1.07 million, down 35.2% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- In prior years, Edap Tms' Operating Leases was $1.65 million in FY2024 (+73.9%), $948,979 in FY2023 (+3.5%), $917,202 in FY2022 (-9.7%) and $1.02 million in FY2021 (-22.5%).
- The Q2 2026 figure stands as the lowest quarterly Operating Leases in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Edap Tms | 167.75 Mn | 100.27 Mn | 7.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 644,000.00 |
| Mar 31, 2026 | 1.91 Mn |
| Dec 31, 2025 | 1.07 Mn |
| Dec 31, 2024 | 1.70 Mn |
| Dec 31, 2023 | 948,979.00 |
| Dec 31, 2022 | 917,202.38 |
| Dec 31, 2021 | 1.02 Mn |
| Dec 31, 2020 | 1.31 Mn |
| Dec 31, 2019 | 1.91 Mn |
API Access
Edap Tms 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=FOCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "FOCL", "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=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();