TransMedics (TMDX) Total Liabilities (2018 - 2026)
TransMedics (TMDX) posted Total Liabilities of $946.34 million for Q2 2026, up 65.3% from $572.42 million a year earlier and up 0.6% from the prior quarter.
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Analysis
TransMedics (TMDX) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, TransMedics' Total Liabilities came in at $595.27 million, up 3.4% from FY2024.
- Annual Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 65.4% (FY2020 to FY2025).
- In prior years, TransMedics' Total Liabilities was $575.47 million in FY2024 (+1.2%), $568.85 million in FY2023 (+533.7%), $89.77 million in FY2022 (+33.9%) and $67.04 million in FY2021 (+39.3%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Total Liabilities has increased in each of the last 20 quarters, with growth averaging 17.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 0.7% in Q2 2025 to 721.4% in Q2 2023.
- According to Business Quant data, Total Liabilities for the three prior quarters was $940.81 million (Q1 2026), $595.27 million (Q4 2025) and $590.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | TransMedics | 2.86 Bn | 975.91 Mn | 113.20 Mn | 946.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 946.34 Mn |
| Mar 31, 2026 | 940.81 Mn |
| Dec 31, 2025 | 595.27 Mn |
| Sep 30, 2025 | 590.83 Mn |
| Jun 30, 2025 | 572.42 Mn |
| Mar 31, 2025 | 571.22 Mn |
| Dec 31, 2024 | 575.47 Mn |
| Sep 30, 2024 | 575.65 Mn |
| Jun 30, 2024 | 568.68 Mn |
| Mar 31, 2024 | 564.36 Mn |
| Dec 31, 2023 | 568.85 Mn |
| Sep 30, 2023 | 562.77 Mn |
| Jun 30, 2023 | 545.15 Mn |
| Mar 31, 2023 | 94.46 Mn |
| Dec 31, 2022 | 89.77 Mn |
| Sep 30, 2022 | 87.02 Mn |
| Jun 30, 2022 | 66.37 Mn |
| Mar 31, 2022 | 64.10 Mn |
| Dec 31, 2021 | 67.04 Mn |
| Sep 30, 2021 | 52.60 Mn |
API Access
TransMedics Total Liabilities 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=total-liabilities&ticker=TMDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();