Edap Tms (FOCL) Change in Accured Expenses (2025 - 2026)
Edap Tms (FOCL) recorded Change in Accured Expenses of -$92,000 in Q2 2026, compared with -$389,000 a year earlier.
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Analysis
Edap Tms (FOCL) Change in Accured Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Edap Tms' Change in Accured Expenses came in at -$17,000 as of Jun 30, 2026; for FY2025, it came in at -$462,000.
- Across earlier years, Change in Accured Expenses came in at $1.68 million in FY2024 (-99.8%), $1.02 billion in FY2023, $1.1 million in FY2022 (+36.3%) and $807,643 in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$529,000 in Q1 2025 to $993,000 in Q1 2026 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Edap Tms | 157.62 Mn | 90.14 Mn | 7.34 Mn | -92,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -92,000.00 |
| Mar 31, 2026 | 993,000.00 |
| Jun 30, 2025 | -389,000.00 |
| Mar 31, 2025 | -529,000.00 |
API Access
Edap Tms Change in Accured Expenses 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-accured-expenses&ticker=FOCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();