TransMedics (TMDX) Cash & Equivalents (2018 - 2026)
TransMedics (TMDX) posted Cash & Equivalents of $472.7 million for Q2 2026, up 18.0% from $400.58 million a year earlier and up 2.4% from the prior quarter.
TransMedics (TMDX) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, TransMedics' Cash & Equivalents came in at $488.37 million, up 45.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 81.8% (FY2020 to FY2025).
- In prior years, TransMedics' Cash & Equivalents was $336.65 million in FY2024 (-14.7%), $394.81 million in FY2023 (+96.2%), $201.18 million in FY2022 (+686.5%) and $25.58 million in FY2021 (+4.1%).
- Quarterly Cash & Equivalents has run from a low of $17.9 million in Q1 2022 to a high of $582.21 million in Q2 2023 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last five quarters, with growth averaging 14.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2023, with growth of 991.8%; the weakest was Q2 2024, with a decline of 37.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $461.74 million (Q1 2026), $488.37 million (Q4 2025) and $466.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 708.00 Mn |
| 10 | TransMedics | 2.72 Bn | 834.27 Mn | 113.20 Mn | 472.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 472.70 Mn |
| Mar 31, 2026 | 461.74 Mn |
| Dec 31, 2025 | 488.37 Mn |
| Sep 30, 2025 | 466.20 Mn |
| Jun 30, 2025 | 400.58 Mn |
| Mar 31, 2025 | 310.14 Mn |
| Dec 31, 2024 | 336.65 Mn |
| Sep 30, 2024 | 330.09 Mn |
| Jun 30, 2024 | 362.75 Mn |
| Mar 31, 2024 | 350.22 Mn |
| Dec 31, 2023 | 394.81 Mn |
| Sep 30, 2023 | 427.11 Mn |
| Jun 30, 2023 | 582.21 Mn |
| Mar 31, 2023 | 195.40 Mn |
| Dec 31, 2022 | 201.18 Mn |
| Sep 30, 2022 | 204.46 Mn |
| Jun 30, 2022 | 30.39 Mn |
| Mar 31, 2022 | 17.90 Mn |
| Dec 31, 2021 | 25.58 Mn |
| Sep 30, 2021 | 22.50 Mn |
TransMedics Cash & Equivalents 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=cash-and-equivalents&ticker=TMDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();