Edap Tms (FOCL) Change in Receivables (2025 - 2026)
Edap Tms' Change in Receivables came in at $101,000 for Q3 2026, down 80.7% from $523,000 a year earlier.
Edap Tms (FOCL) Change in Receivables (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Edap Tms reported Change in Receivables of -$3.68 million; for FY2025, it was $567,000, up 278.0% from FY2024.
- Going back by year, Change in Receivables was $150,000 in FY2024 (-97.2%), $5.31 million in FY2023 (+155.3%), $2.08 million in FY2022 and $121,890 in FY2021.
- The five-year range for quarterly Change in Receivables is -$4.92 million (Q1 2025) to $3.83 million (Q2 2025).
- Business Quant data shows FOCL's Change in Receivables at -$2.94 million (Q2 2026), -$1.99 million (Q1 2026) and $1.14 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | 476.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 160.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 53.40 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | -53.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 69.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 19.90 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 133.00 Mn |
| 10 | Edap Tms | 152.99 Mn | 39.72 Mn | 5.05 Mn | 101,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101,000.00 |
| Jun 30, 2026 | -2.94 Mn |
| Mar 31, 2026 | -1.99 Mn |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | 523,000.00 |
| Jun 30, 2025 | 3.83 Mn |
| Mar 31, 2025 | -4.92 Mn |
Edap Tms Change in Receivables 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=change-in-receivables&ticker=FOCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();