Edap Tms (FOCL) Change in Accrued Expenses (2025 - 2026)
Edap Tms (FOCL) recorded Change in Accrued Expenses of -$381,000 in Q3 2026, compared with -$303,000 a year earlier.
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Analysis
Edap Tms (FOCL) Change in Accrued Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Edap Tms' Change in Accrued Expenses came in at $1.28 million as of Sep 30, 2026; for FY2025, it came in at -$462,000.
- Across earlier years, Change in Accrued Expenses came in at $1.68 million in FY2024 (+63.8%), $1.03 million in FY2023 (-9.6%), $1.14 million in FY2022 (+36.1%) and $835,478 in FY2021.
- The Q3 2026 figure is the lowest quarterly Change in Accrued Expenses since Q2 2025.
- Per Business Quant, the preceding three quarters came in at -$92,000 (Q2 2026), $993,000 (Q1 2026) and $759,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Edap Tms | 152.99 Mn | 39.72 Mn | 5.05 Mn | -381,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -381,000.00 |
| Jun 30, 2026 | -92,000.00 |
| Mar 31, 2026 | 993,000.00 |
| Dec 31, 2025 | 759,000.00 |
| Sep 30, 2025 | -303,000.00 |
| Jun 30, 2025 | -389,000.00 |
| Mar 31, 2025 | -529,000.00 |
API Access
Edap Tms Change in Accrued 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();