Edap Tms (FOCL) Inventory (2009 - 2026)
Edap Tms (FOCL) recorded Inventory of $8.25 million in Q2 2026, down 54.9% from $18.28 million a year earlier and down 38.1% from the prior quarter.
Powered by 
Analysis
Edap Tms (FOCL) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Edap Tms reported Inventory of $7.77 million, down 59.6% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $19.21 million in FY2024 (+14.9%), $16.72 million in FY2023 (+32.7%), $12.6 million in FY2022 (+48.5%) and $8.49 million in FY2021 (-13.1%).
- Quarterly Inventory has ranged from $7.77 million in Q4 2025 to $23.41 million in Q3 2024 over the past five years.
- On a year-over-year basis, Inventory has declined for five consecutive quarters, with an average decline of 14.2% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 75.6% in Q2 2023, against a decline of 60.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.33 million (Q1 2026), $7.77 million (Q4 2025) and $16.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Edap Tms | 167.75 Mn | 100.27 Mn | 7.34 Mn | 8.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.25 Mn |
| Mar 31, 2026 | 13.33 Mn |
| Dec 31, 2025 | 7.77 Mn |
| Sep 30, 2025 | 16.19 Mn |
| Jun 30, 2025 | 18.28 Mn |
| Mar 31, 2025 | 19.46 Mn |
| Dec 31, 2024 | 19.76 Mn |
| Sep 30, 2024 | 23.41 Mn |
| Jun 30, 2024 | 19.24 Mn |
| Mar 31, 2024 | 18.83 Mn |
| Dec 31, 2023 | 16.26 Mn |
| Sep 30, 2023 | 16.23 Mn |
| Jun 30, 2023 | 14.53 Mn |
| Mar 31, 2023 | 13.54 Mn |
| Dec 31, 2022 | 12.02 Mn |
| Sep 30, 2022 | 9.35 Mn |
| Jun 30, 2022 | 8.28 Mn |
| Mar 31, 2022 | 8.14 Mn |
| Dec 31, 2021 | 8.58 Mn |
| Sep 30, 2021 | 9.87 Mn |
API Access
Edap Tms 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=inventory&ticker=FOCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();