Merit Medical Systems (MMSI) Return on Sales [ROS] (2009 - 2026)
Merit Medical Systems' Return on Sales [ROS] came in at 14.12% for Q3 2026, up 3.03 percentage points from 11.09% a year earlier but down 0.30 percentage points from the prior quarter.
Merit Medical Systems (MMSI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Merit Medical Systems reported Return on Sales [ROS] of 13.50%, up 2.19 percentage points year-over-year; for FY2025, it came in at 12.19%, up 0.71 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last five years, with a five-year change of +12.35 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 11.48% in FY2024 (+1.62 pp), 9.86% in FY2023 (+2.25 pp), 7.61% in FY2022 (+1.94 pp) and 5.67% in FY2021 (+5.83 pp).
- The five-year range for quarterly Return on Sales [ROS] is 5.53% (Q1 2022) to 14.42% (Q2 2026).
- Year-over-year, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +0.98 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2022 (a gain of 4.71 percentage points), and the weakest in Q2 2025 (a drop of 1.34 percentage points).
- Business Quant data shows MMSI's Return on Sales [ROS] at 14.42% (Q2 2026), 11.56% (Q1 2026) and 13.76% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 17.44% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 6.36% |
| 10 | Merit Medical Systems | 5.26 Bn | 3.37 Bn | 200.63 Mn | 14.12% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.12% |
| Jun 30, 2026 | 14.42% |
| Mar 31, 2026 | 11.56% |
| Dec 31, 2025 | 13.76% |
| Sep 30, 2025 | 11.09% |
| Jun 30, 2025 | 12.26% |
| Mar 31, 2025 | 11.55% |
| Dec 31, 2024 | 10.30% |
| Sep 30, 2024 | 10.96% |
| Jun 30, 2024 | 13.59% |
| Mar 31, 2024 | 11.10% |
| Dec 31, 2023 | 10.36% |
| Sep 30, 2023 | 11.15% |
| Jun 30, 2023 | 9.00% |
| Mar 31, 2023 | 8.87% |
| Dec 31, 2022 | 10.37% |
| Sep 30, 2022 | 6.50% |
| Jun 30, 2022 | 7.88% |
| Mar 31, 2022 | 5.53% |
| Dec 31, 2021 | 7.86% |
Merit Medical Systems 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=MMSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MMSI", "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=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();