TransMedics (TMDX) Convertible Debt (2023 - 2026)
TransMedics (TMDX) posted Convertible Debt of $454.26 million for Q2 2026, up 0.6% from $451.36 million a year earlier and up 0.2% from the prior quarter.
TransMedics (TMDX) Convertible Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, TransMedics' Convertible Debt came in at $452.8 million, up 0.6% from FY2024.
- In prior years, TransMedics' Convertible Debt was $449.94 million in FY2024 (+0.6%) and $447.14 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Convertible Debt in data going back to Q2 2023.
- On a year-over-year basis, Convertible Debt has increased in each of the last nine quarters, with growth averaging 0.6% over the last eight quarters.
- According to Business Quant data, Convertible Debt for the three prior quarters was $453.53 million (Q1 2026), $452.8 million (Q4 2025) and $452.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | TransMedics | 2.51 Bn | 622.71 Mn | 113.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 454.26 Mn |
| Mar 31, 2026 | 453.53 Mn |
| Dec 31, 2025 | 452.80 Mn |
| Sep 30, 2025 | 452.08 Mn |
| Jun 30, 2025 | 451.36 Mn |
| Mar 31, 2025 | 450.65 Mn |
| Dec 31, 2024 | 449.94 Mn |
| Sep 30, 2024 | 449.24 Mn |
| Jun 30, 2024 | 448.53 Mn |
| Mar 31, 2024 | 447.84 Mn |
| Dec 31, 2023 | 447.14 Mn |
| Sep 30, 2023 | 446.45 Mn |
| Jun 30, 2023 | 445.80 Mn |
TransMedics 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=TMDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "ticker": "TMDX", "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=TMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();