Merit Medical Systems (MMSI) Return on Capital Employed [ROCE] (2011 - 2026)
Merit Medical Systems' Return on Capital Employed [ROCE] was 7.97% in Q2 2026, up 0.94 percentage points from 7.03% a year earlier and up 0.41 percentage points from the prior quarter.
Merit Medical Systems (MMSI) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Merit Medical Systems came in at 7.99%, up 0.76 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for five consecutive years, with a five-year change of +8.09 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 7.22% in FY2024 (+0.30 pp), 6.92% in FY2023 (+0.82 pp), 6.10% in FY2022 (+1.81 pp) and 4.29% in FY2021 (+4.39 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q4 2011.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of +0.37 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2021 (a gain of 5.24 percentage points); the worst was Q1 2024 (a drop of 0.54 percentage points).
- Per Business Quant data, MMSI's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 7.56% (Q1 2026), 7.64% (Q4 2025) and 7.03% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Merit Medical Systems | 5.10 Bn | 3.32 Bn | 215.17 Mn | 7.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.97% |
| Mar 31, 2026 | 7.56% |
| Dec 31, 2025 | 7.64% |
| Sep 30, 2025 | 7.03% |
| Jun 30, 2025 | 7.03% |
| Mar 31, 2025 | 7.16% |
| Dec 31, 2024 | 7.14% |
| Sep 30, 2024 | 7.03% |
| Jun 30, 2024 | 6.96% |
| Mar 31, 2024 | 6.23% |
| Dec 31, 2023 | 6.65% |
| Sep 30, 2023 | 7.38% |
| Jun 30, 2023 | 6.64% |
| Mar 31, 2023 | 6.77% |
| Dec 31, 2022 | 6.13% |
| Sep 30, 2022 | 5.57% |
| Jun 30, 2022 | 5.32% |
| Mar 31, 2022 | 4.32% |
| Dec 31, 2021 | 4.32% |
| Sep 30, 2021 | 3.85% |
Merit Medical Systems Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MMSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();