Edap Tms (FOCL) Pension (2011 - 2025)
Edap Tms (FOCL) recorded Pension of $2.39 million in Q4 2025, down 1.2% from $2.42 million a year earlier.
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Analysis
Edap Tms (FOCL) Pension (2011 - 2025) Analysis & Trends
Starting with Q4 2011, Edap Tms' Pension history includes 15 quarters.
- Annual Pension has a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- Across earlier years, Pension came in at $2.41 million in FY2024 (-5.6%), $2.56 million in FY2023 (+11.4%), $2.3 million in FY2022 (-14.9%) and $2.7 million in FY2021 (-17.7%).
- The Q4 2025 figure is the lowest quarterly Pension since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Edap Tms | 152.99 Mn | 39.72 Mn | 5.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.39 Mn |
| Dec 31, 2024 | 2.42 Mn |
| Dec 31, 2023 | 2.56 Mn |
| Dec 31, 2022 | 2.30 Mn |
| Dec 31, 2021 | 2.70 Mn |
| Dec 31, 2020 | 3.28 Mn |
| Dec 31, 2019 | 2.74 Mn |
| Dec 31, 2018 | 2.62 Mn |
| Dec 31, 2017 | 2.48 Mn |
| Dec 31, 2016 | 2.09 Mn |
| Dec 31, 2015 | 1.75 Mn |
| Dec 31, 2014 | 1.71 Mn |
| Dec 31, 2013 | 1.56 Mn |
| Dec 31, 2012 | 1.34 Mn |
| Dec 31, 2011 | 1.22 Mn |
API Access
Edap Tms Pension 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=pension&ticker=FOCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();