TriSalus Life Sciences (TLSI) Return on Sales [ROS] (2022 - 2026)
TriSalus Life Sciences (TLSI) posted Return on Sales [ROS] of -86.03% for Q2 2026, down 20.64 percentage points from -65.39% a year earlier but up 8.49 percentage points from the prior quarter.
TriSalus Life Sciences (TLSI) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at TriSalus Life Sciences was -67.68%, up 18.40 percentage points year-over-year; for FY2025, it came in at -59.68%, up 63.20 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a three-year change of +234.23 percentage points (FY2022 to FY2025).
- In prior years, TriSalus Life Sciences' Return on Sales [ROS] was -122.88% in FY2024 (+171.40 pp), -294.28% in FY2023 (-0.37 pp) and -293.91% in FY2022.
- Quarterly Return on Sales [ROS] has run from a low of -364.91% in Q4 2022 to a high of -24.77% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +77.01 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2024, with a gain of 239.57 percentage points; the weakest was Q3 2023, with a drop of 151.73 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -94.52% (Q1 2026), -24.77% (Q4 2025) and -77.94% (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 | TriSalus Life Sciences | 265.55 Mn | 119.58 Mn | 9.90 Mn | -86.03% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -86.03% |
| Mar 31, 2026 | -94.52% |
| Dec 31, 2025 | -24.77% |
| Sep 30, 2025 | -77.94% |
| Jun 30, 2025 | -65.39% |
| Mar 31, 2025 | -79.95% |
| Dec 31, 2024 | -91.76% |
| Sep 30, 2024 | -118.91% |
| Jun 30, 2024 | -111.00% |
| Mar 31, 2024 | -180.77% |
| Dec 31, 2023 | -249.05% |
| Sep 30, 2023 | -358.48% |
| Jun 30, 2023 | -247.92% |
| Mar 31, 2023 | -339.18% |
| Dec 31, 2022 | -364.91% |
| Sep 30, 2022 | -206.76% |
TriSalus Life Sciences 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=TLSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TLSI", "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=TLSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();