Edap Tms (FOCL) Other Operating Expenses (2009 - 2025)
Edap Tms' Other Operating Expenses was -$1,169 in Q3 2025.
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Analysis
Edap Tms (FOCL) Other Operating Expenses (2009 - 2025) Analysis & Trends
For FY2024, Other Operating Expenses at Edap Tms came in at -$6.9 million.
- In earlier years, Other Operating Expenses was $6.45 million in FY2023, -$16.15 million in FY2022, -$12.85 million in FY2021 and -$10.45 million in FY2020.
- The Q3 2025 figure marks the lowest quarterly Other Operating Expenses since Q1 2023.
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 |
|---|---|
| Sep 30, 2025 | -1,169.06 |
| Jun 30, 2025 | -1,131.96 |
| Mar 31, 2023 | -11.95 Mn |
| Dec 31, 2022 | -7.71 Mn |
| Sep 30, 2022 | -5.85 Mn |
| Jun 30, 2022 | -5.82 Mn |
| Mar 31, 2022 | -5.37 Mn |
| Dec 31, 2021 | -5.91 Mn |
| Sep 30, 2021 | -5.24 Mn |
| Jun 30, 2021 | -4.48 Mn |
| Mar 31, 2021 | -3.96 Mn |
| Dec 31, 2020 | -4.62 Mn |
| Sep 30, 2020 | -3.70 Mn |
| Jun 30, 2020 | -3.41 Mn |
| Mar 31, 2020 | -3.84 Mn |
| Dec 31, 2019 | -4.69 Mn |
| Sep 30, 2019 | -3.92 Mn |
| Jun 30, 2019 | -4.15 Mn |
| Mar 31, 2019 | 1.15 Mn |
| Dec 31, 2018 | -4.76 Mn |
API Access
Edap Tms Other Operating Expenses 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=other-operating-expenses&ticker=FOCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();