Edap Tms (FOCL) Capital Expenditures (2025 - 2026)
Edap Tms (FOCL) reported Capital Expenditures of $194,000 for Q2 2026, compared with $16,000 a year earlier and down 52.1% from the prior quarter.
Edap Tms (FOCL) Capital Expenditures (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Edap Tms' Capital Expenditures came in at $661,000; for FY2025, it came in at $1.21 million, down 14.9% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $1.42 million in FY2024, -$1.27 billion in FY2023, $732,538 in FY2022 (-60.9%) and $1.87 million in FY2021 (-21.9%).
- Five-year quarterly Capital Expenditures spans a low of $16,000 in Q2 2025 and a high of $405,000 in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Edap Tms | 167.75 Mn | 100.27 Mn | 7.34 Mn | 194,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 194,000.00 |
| Mar 31, 2026 | 405,000.00 |
| Jun 30, 2025 | 16,000.00 |
| Mar 31, 2025 | 46,000.00 |
Edap Tms Capital Expenditures 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=capital-expenditures&ticker=FOCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();