TransMedics (TMDX) Property, Plant & Equipment (Net) (2018 - 2026)
TransMedics' Property, Plant & Equipment (Net) was $365.3 million in Q2 2026, up 17.0% from $312.26 million a year earlier and up 1.0% from the prior quarter.
TransMedics (TMDX) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at TransMedics came in at $327.66 million, up 14.6% from FY2024.
- Property, Plant & Equipment (Net) has now increased for five consecutive years, with a five-year compound annual growth rate of 133.2% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $285.97 million in FY2024 (+64.4%), $173.94 million in FY2023 (+804.9%), $19.22 million in FY2022 (+95.3%) and $9.84 million in FY2021 (+107.0%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2018.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for eight straight quarters, with growth averaging 39.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 8.0% in Q3 2021 to 804.9% in Q4 2023.
- Per Business Quant data, TMDX's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $361.57 million (Q1 2026), $327.66 million (Q4 2025) and $313.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | TransMedics | 2.76 Bn | 874.10 Mn | 113.20 Mn | 365.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 365.30 Mn |
| Mar 31, 2026 | 361.57 Mn |
| Dec 31, 2025 | 327.66 Mn |
| Sep 30, 2025 | 313.02 Mn |
| Jun 30, 2025 | 312.26 Mn |
| Mar 31, 2025 | 311.24 Mn |
| Dec 31, 2024 | 285.97 Mn |
| Sep 30, 2024 | 271.74 Mn |
| Jun 30, 2024 | 229.03 Mn |
| Mar 31, 2024 | 214.42 Mn |
| Dec 31, 2023 | 173.94 Mn |
| Sep 30, 2023 | 131.00 Mn |
| Jun 30, 2023 | 19.97 Mn |
| Mar 31, 2023 | 19.16 Mn |
| Dec 31, 2022 | 19.22 Mn |
| Sep 30, 2022 | 18.47 Mn |
| Jun 30, 2022 | 16.18 Mn |
| Mar 31, 2022 | 12.04 Mn |
| Dec 31, 2021 | 9.84 Mn |
| Sep 30, 2021 | 5.06 Mn |
TransMedics Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TMDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();