Edap Tms (FOCL) Total Current Liabilities (2009 - 2026)
Edap Tms (FOCL) posted Total Current Liabilities of $36.07 million for Q3 2026, down 2.1% from $36.85 million a year earlier and down 2.1% from the prior quarter.
Edap Tms (FOCL) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Edap Tms' Total Current Liabilities came in at $37.14 million, down 5.4% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Edap Tms' Total Current Liabilities was $39.28 million in FY2024 (+28.6%), $30.54 million in FY2023 (+32.0%), $23.14 million in FY2022 (+13.8%) and $20.33 million in FY2021 (-23.1%).
- The Q3 2026 figure stands as the lowest quarterly Total Current Liabilities since Q3 2024.
- On a year-over-year basis, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 10.5%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2023, with growth of 58.7%; the weakest was Q4 2021, with a decline of 23.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $36.85 million (Q2 2026), $37.51 million (Q1 2026) and $37.14 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.05 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 | 11.80 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Edap Tms | 152.99 Mn | 39.72 Mn | 5.05 Mn | 36.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.07 Mn |
| Jun 30, 2026 | 36.85 Mn |
| Mar 31, 2026 | 37.51 Mn |
| Dec 31, 2025 | 37.14 Mn |
| Sep 30, 2025 | 36.85 Mn |
| Jun 30, 2025 | 40.15 Mn |
| Mar 31, 2025 | 36.22 Mn |
| Dec 31, 2024 | 39.35 Mn |
| Sep 30, 2024 | 32.74 Mn |
| Jun 30, 2024 | 29.40 Mn |
| Mar 31, 2024 | 30.53 Mn |
| Dec 31, 2023 | 30.54 Mn |
| Sep 30, 2023 | 27.46 Mn |
| Jun 30, 2023 | 27.51 Mn |
| Mar 31, 2023 | 28.54 Mn |
| Dec 31, 2022 | 23.14 Mn |
| Sep 30, 2022 | 21.05 Mn |
| Jun 30, 2022 | 20.73 Mn |
| Mar 31, 2022 | 17.99 Mn |
| Dec 31, 2021 | 20.33 Mn |
Edap Tms Total 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-current-liabilities&ticker=FOCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();