Edap Tms (FOCL) Convertible Debt (2010 - 2011)
Edap Tms (FOCL) recorded Convertible Debt of $1.35 million in Q2 2024, down 55.5% from $3.02 million a year earlier and down 23.0% from the prior quarter.
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Analysis
Edap Tms (FOCL) Convertible Debt (2010 - 2011) Analysis & Trends
At the end of FY2023, Edap Tms reported Convertible Debt of $2.21 million, down 42.4% from FY2022.
- Annual Convertible Debt has a three-year compound annual growth rate of 16.5% (FY2020 to FY2023).
- Across earlier years, Convertible Debt came in at $3.84 million in FY2022 (-31.2%), $5.58 million in FY2021 (+299.4%) and $1.4 million in FY2020.
- The Q2 2024 figure is the lowest quarterly Convertible Debt since Q2 2020.
- On a year-over-year basis, Convertible Debt has declined for nine consecutive quarters, with an average decline of 40.4% over the last eight quarters.
- Peak year-over-year performance for Convertible Debt in the last five years was growth of 360.8% in Q2 2021, against a decline of 55.5% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.75 million (Q1 2024), $2.15 million (Q4 2023) and $2.54 million (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn |
| 10 | Edap Tms | 156.49 Mn | 106.17 Mn | 7.34 Mn |
API Access
Edap Tms Convertible Debt 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=convertible-debt&ticker=FOCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();