TransMedics (TMDX) Return on Sales [ROS] (2018 - 2026)
TransMedics (TMDX) recorded Return on Sales [ROS] of 12.50% in Q2 2026, down 10.74 percentage points from 23.24% a year earlier but up 4.85 percentage points from the prior quarter.
TransMedics (TMDX) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a TTM basis, TransMedics' Return on Sales [ROS] came in at 12.21% as of Jun 30, 2026, down 2.21 percentage points year-over-year; for FY2025, it was 17.93%, up 9.44 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for four straight years, with a five-year change of +120.84 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 8.49% in FY2024 (+20.38 pp), -11.89% in FY2023 (+21.75 pp), -33.64% in FY2022 (+96.65 pp) and -130.29% in FY2021 (-27.38 pp).
- Quarterly Return on Sales [ROS] has ranged from -216.61% in Q3 2021 to 23.24% in Q2 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +8.16 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 195.02 percentage points in Q3 2022, against a drop of 158.79 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 7.64% (Q1 2026), 13.23% (Q4 2025) and 16.20% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | TransMedics | 2.76 Bn | 874.10 Mn | 113.20 Mn | 12.50% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.50% |
| Mar 31, 2026 | 7.64% |
| Dec 31, 2025 | 13.23% |
| Sep 30, 2025 | 16.20% |
| Jun 30, 2025 | 23.24% |
| Mar 31, 2025 | 19.12% |
| Dec 31, 2024 | 7.11% |
| Sep 30, 2024 | 3.61% |
| Jun 30, 2024 | 10.94% |
| Mar 31, 2024 | 12.82% |
| Dec 31, 2023 | 3.21% |
| Sep 30, 2023 | -42.65% |
| Jun 30, 2023 | -1.73% |
| Mar 31, 2023 | -5.03% |
| Dec 31, 2022 | -21.61% |
| Sep 30, 2022 | -21.59% |
| Jun 30, 2022 | -47.49% |
| Mar 31, 2022 | -59.00% |
| Dec 31, 2021 | -132.57% |
| Sep 30, 2021 | -216.61% |
TransMedics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TMDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TMDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();