Edap Tms (FOCL) Change in Inventory (2025 - 2026)
Edap Tms (FOCL) reported Change in Inventory of -$384,000 for Q2 2026, compared with -$2.1 million a year earlier.
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Analysis
Edap Tms (FOCL) Change in Inventory (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Edap Tms' Change in Inventory came in at -$1.92 million; for FY2025, it came in at -$6.85 million.
- By year, Change in Inventory came in at $4.37 million in FY2024, -$4.53 billion in FY2023, -$4.57 million in FY2022 and $189,899 in FY2021.
- Five-year quarterly Change in Inventory spans a low of -$2.1 million in Q2 2025 and a high of $747,000 in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.20 Bn | 228.23 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 180.27 Bn | 150.70 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 160.17 Bn | 143.98 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 158.42 Bn | 138.71 Bn | 2.08 Bn | 307.40 Mn |
| 5 | Medtronic | 122.86 Bn | 88.11 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 118.45 Bn | 104.57 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 67.12 Bn | 61.89 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.72 Bn | 35.73 Bn | 1.35 Bn | 23.50 Mn |
| 10 | Edap Tms | 159.49 Mn | 109.17 Mn | 7.34 Mn | -384,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -384,000.00 |
| Mar 31, 2026 | 747,000.00 |
| Jun 30, 2025 | -2.10 Mn |
| Mar 31, 2025 | -187,000.00 |
API Access
Edap Tms Change in Inventory 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-inventory&ticker=FOCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();