TransMedics (TMDX) Accumulated Expenses (2018 - 2026)
TransMedics (TMDX) recorded Accumulated Expenses of $58.6 million in Q2 2026, up 37.9% from $42.49 million a year earlier but down 1.2% from the prior quarter.
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Analysis
TransMedics (TMDX) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, TransMedics reported Accumulated Expenses of $62.74 million, up 39.0% from FY2024.
- Annual Accumulated Expenses has increased for seven straight years, with a five-year compound annual growth rate of 43.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $45.15 million in FY2024 (+18.1%), $38.22 million in FY2023 (+105.1%), $18.64 million in FY2022 (+14.1%) and $16.34 million in FY2021 (+56.9%).
- Quarterly Accumulated Expenses has ranged from $12.77 million in Q3 2021 to $62.74 million in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for 20 consecutive quarters, with growth averaging 28.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Expenses ranged from 8.9% (Q1 2025) to 105.1% (Q4 2023).
- Per Business Quant, the preceding three quarters came in at $59.32 million (Q1 2026), $62.74 million (Q4 2025) and $56.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | TransMedics | 2.89 Bn | 1.00 Bn | 113.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.60 Mn |
| Mar 31, 2026 | 59.32 Mn |
| Dec 31, 2025 | 62.74 Mn |
| Sep 30, 2025 | 56.02 Mn |
| Jun 30, 2025 | 42.49 Mn |
| Mar 31, 2025 | 40.14 Mn |
| Dec 31, 2024 | 45.15 Mn |
| Sep 30, 2024 | 42.19 Mn |
| Jun 30, 2024 | 37.72 Mn |
| Mar 31, 2024 | 36.85 Mn |
| Dec 31, 2023 | 38.22 Mn |
| Sep 30, 2023 | 31.65 Mn |
| Jun 30, 2023 | 22.86 Mn |
| Mar 31, 2023 | 22.58 Mn |
| Dec 31, 2022 | 18.64 Mn |
| Sep 30, 2022 | 15.98 Mn |
| Jun 30, 2022 | 15.42 Mn |
| Mar 31, 2022 | 15.74 Mn |
| Dec 31, 2021 | 16.34 Mn |
| Sep 30, 2021 | 12.77 Mn |
API Access
TransMedics Accumulated Expenses 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=accumulated-expenses&ticker=TMDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();