Edap Tms (FOCL) Total Non-Current Liabilities (2009 - 2026)
Edap Tms (FOCL) posted Total Non-Current Liabilities of $75.8 million for Q2 2026, up 78.5% from $42.47 million a year earlier and up 29.5% from the prior quarter.
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Analysis
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 28.3% from FY2024.
- Annual Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In prior years, Edap Tms' Total Non-Current Liabilities was $45.17 million in FY2024 (+33.1%), $33.95 million in FY2023 (+18.5%), $28.65 million in FY2022 (+2.7%) and $27.89 million in FY2021 (-9.6%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last six quarters, with growth averaging 30.5% over the last seven quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2026, with growth of 78.5%; the weakest was Q1 2022, with a decline of 8.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $58.52 million (Q1 2026), $57.95 million (Q4 2025) and $41.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Edap Tms | 167.75 Mn | 100.27 Mn | 7.34 Mn | 75.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.80 Mn |
| Mar 31, 2026 | 58.52 Mn |
| Dec 31, 2025 | 57.95 Mn |
| Sep 30, 2025 | 41.04 Mn |
| Jun 30, 2025 | 42.47 Mn |
| Mar 31, 2025 | 39.52 Mn |
| Dec 31, 2024 | 45.17 Mn |
| Sep 30, 2024 | 36.51 Mn |
| Jun 30, 2024 | 33.92 Mn |
| Mar 31, 2024 | 35.86 Mn |
| Dec 31, 2023 | -52.05 Mn |
| Sep 30, 2023 | 33.06 Mn |
| Jun 30, 2023 | 31.98 Mn |
| Mar 31, 2023 | 33.34 Mn |
| Dec 31, 2022 | 27.32 Mn |
| Sep 30, 2022 | 27.68 Mn |
| Jun 30, 2022 | 27.71 Mn |
| Mar 31, 2022 | 25.43 Mn |
| Dec 31, 2021 | 28.19 Mn |
| Sep 30, 2021 | 26.14 Mn |
API Access
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_KEYimport 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();