Edap Tms (FOCL) Total Non-Current Liabilities (2009 - 2026)
Edap Tms (FOCL) posted Total Non-Current Liabilities of $72.82 million for Q3 2026, up 157.9% from $28.23 million a year earlier but down 3.9% from the prior quarter.
Edap Tms (FOCL) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Edap Tms' Total Non-Current Liabilities came in at $57.95 million, up 32.0% from FY2024.
- Annual Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior years, Edap Tms' Total Non-Current Liabilities was $43.91 million in FY2024 (+25.4%), $35.03 million in FY2023 (+22.7%), $28.55 million in FY2022 (+2.3%) and $27.9 million in FY2021 (-10.1%).
- Quarterly Total Non-Current Liabilities has run from a low of $25.13 million in Q1 2022 to a high of $75.8 million in Q2 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 48.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2026, with growth of 157.9%; the weakest was Q3 2025, with a decline of 23.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $75.8 million (Q2 2026), $58.52 million (Q1 2026) and $57.95 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Edap Tms | 152.99 Mn | 39.72 Mn | 5.05 Mn | 72.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 72.82 Mn |
| Jun 30, 2026 | 75.80 Mn |
| Mar 31, 2026 | 58.52 Mn |
| Dec 31, 2025 | 57.95 Mn |
| Sep 30, 2025 | 28.23 Mn |
| Jun 30, 2025 | 30.35 Mn |
| Mar 31, 2025 | 40.64 Mn |
| Dec 31, 2024 | 43.99 Mn |
| Sep 30, 2024 | 37.05 Mn |
| Jun 30, 2024 | 33.74 Mn |
| Mar 31, 2024 | 35.62 Mn |
| Dec 31, 2023 | 34.92 Mn |
| Sep 30, 2023 | 32.14 Mn |
| Jun 30, 2023 | 32.07 Mn |
| Mar 31, 2023 | 33.77 Mn |
| Dec 31, 2022 | 28.55 Mn |
| Sep 30, 2022 | 26.86 Mn |
| Jun 30, 2022 | 27.19 Mn |
| Mar 31, 2022 | 25.13 Mn |
| Dec 31, 2021 | 27.90 Mn |
Edap Tms Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FOCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();