TransMedics (TMDX) Research & Development (2018 - 2026)
TransMedics (TMDX) posted Research & Development of $31.63 million for Q2 2026, up 98.5% from $15.93 million a year earlier and up 27.1% from the prior quarter.
TransMedics (TMDX) Research & Development (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at TransMedics was $92.47 million, up 44.9% year-over-year; for FY2025, it was $69.06 million, up 23.4% from FY2024.
- Annual Research & Development has increased for five consecutive years, with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- In prior years, TransMedics' Research & Development was $55.97 million in FY2024 (+55.2%), $36.06 million in FY2023 (+34.5%), $26.81 million in FY2022 (+20.2%) and $22.3 million in FY2021 (+18.4%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q1 2018.
- On a year-over-year basis, Research & Development has increased in each of the last 13 quarters, with growth averaging 40.4% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q2 2026, with growth of 98.5%; the weakest was Q1 2023, with a decline of 22.1%.
- According to Business Quant data, Research & Development for the three prior quarters was $24.88 million (Q1 2026), $20.7 million (Q4 2025) and $15.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.90 Mn |
| 10 | TransMedics | 2.86 Bn | 975.91 Mn | 113.20 Mn | 31.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.63 Mn |
| Mar 31, 2026 | 24.88 Mn |
| Dec 31, 2025 | 20.70 Mn |
| Sep 30, 2025 | 15.26 Mn |
| Jun 30, 2025 | 15.93 Mn |
| Mar 31, 2025 | 17.16 Mn |
| Dec 31, 2024 | 16.46 Mn |
| Sep 30, 2024 | 14.27 Mn |
| Jun 30, 2024 | 13.86 Mn |
| Mar 31, 2024 | 11.38 Mn |
| Dec 31, 2023 | 10.76 Mn |
| Sep 30, 2023 | 11.13 Mn |
| Jun 30, 2023 | 8.29 Mn |
| Mar 31, 2023 | 5.87 Mn |
| Dec 31, 2022 | 5.76 Mn |
| Sep 30, 2022 | 6.81 Mn |
| Jun 30, 2022 | 6.71 Mn |
| Mar 31, 2022 | 7.53 Mn |
| Dec 31, 2021 | 6.31 Mn |
| Sep 30, 2021 | 5.16 Mn |
TransMedics Research & Development 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=research-and-development&ticker=TMDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=TMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();