TransMedics (TMDX) Receivables (2018 - 2026)
TransMedics' Receivables was $104.14 million in Q2 2026, down 0.7% from $104.85 million a year earlier but up 14.8% from the prior quarter.
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Analysis
TransMedics (TMDX) Receivables (2018 - 2026) Analysis & Trends
At the end of FY2025, Receivables at TransMedics came in at $84.28 million, down 13.8% from FY2024.
- Receivables shows a five-year compound annual growth rate of 65.1% (FY2020 to FY2025).
- In earlier years, Receivables was $97.72 million in FY2024 (+53.7%), $63.58 million in FY2023 (+130.3%), $27.61 million in FY2022 (+365.3%) and $5.93 million in FY2021 (-13.5%).
- Quarterly Receivables has moved between $4.15 million (Q3 2021) and $142.03 million (Q1 2025) over five years.
- Compared with a year earlier, Receivables has declined for four straight quarters, with growth averaging 18.0% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q3 2022 (growth of 431.0%); the worst was Q1 2026 (a decline of 36.1%).
- Per Business Quant data, TMDX's Receivables in the three quarters before Q2 2026 was $90.73 million (Q1 2026), $84.28 million (Q4 2025) and $80.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | TransMedics | 2.86 Bn | 975.91 Mn | 113.20 Mn | 104.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.14 Mn |
| Mar 31, 2026 | 90.73 Mn |
| Dec 31, 2025 | 84.28 Mn |
| Sep 30, 2025 | 80.70 Mn |
| Jun 30, 2025 | 104.85 Mn |
| Mar 31, 2025 | 142.03 Mn |
| Dec 31, 2024 | 97.72 Mn |
| Sep 30, 2024 | 90.13 Mn |
| Jun 30, 2024 | 81.16 Mn |
| Mar 31, 2024 | 81.94 Mn |
| Dec 31, 2023 | 63.58 Mn |
| Sep 30, 2023 | 60.65 Mn |
| Jun 30, 2023 | 47.52 Mn |
| Mar 31, 2023 | 38.62 Mn |
| Dec 31, 2022 | 27.61 Mn |
| Sep 30, 2022 | 22.04 Mn |
| Jun 30, 2022 | 12.98 Mn |
| Mar 31, 2022 | 11.72 Mn |
| Dec 31, 2021 | 5.93 Mn |
| Sep 30, 2021 | 4.15 Mn |
API Access
TransMedics Receivables 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=receivables&ticker=TMDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();