Merit Medical Systems (MMSI) EBITDA (2010 - 2026)
Merit Medical Systems' EBITDA was $91.4 million in Q2 2026, up 17.4% from $77.88 million a year earlier and up 22.4% from the prior quarter.
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Analysis
Merit Medical Systems (MMSI) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Merit Medical Systems' EBITDA was $325.72 million through Jun 30, 2026, up 17.6% year-over-year; for FY2025, it was $307.89 million, up 19.2% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 27.2% (FY2020 to FY2025).
- In earlier years, EBITDA was $258.4 million in FY2024 (+20.8%), $213.93 million in FY2023 (+26.3%), $169.37 million in FY2022 (+16.8%) and $144.98 million in FY2021 (+56.7%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2010.
- Compared with a year earlier, EBITDA has increased for 24 straight quarters, with growth averaging 15.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in EBITDA ranged from 0.3% (Q1 2022) to 56.2% (Q3 2021).
- Per Business Quant data, MMSI's EBITDA in the three quarters before Q2 2026 was $74.66 million (Q1 2026), $85.73 million (Q4 2025) and $73.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Merit Medical Systems | 5.45 Bn | 3.67 Bn | 215.17 Mn | 92.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.82 Mn |
| Mar 31, 2026 | 76.07 Mn |
| Dec 31, 2025 | 87.15 Mn |
| Sep 30, 2025 | 75.34 Mn |
| Jun 30, 2025 | 79.29 Mn |
| Mar 31, 2025 | 71.75 Mn |
| Dec 31, 2024 | 67.52 Mn |
| Sep 30, 2024 | 65.14 Mn |
| Jun 30, 2024 | 71.51 Mn |
| Mar 31, 2024 | 61.00 Mn |
| Dec 31, 2023 | 58.21 Mn |
| Sep 30, 2023 | 59.46 Mn |
| Jun 30, 2023 | 50.90 Mn |
| Mar 31, 2023 | 47.07 Mn |
| Dec 31, 2022 | 51.06 Mn |
| Sep 30, 2022 | 39.22 Mn |
| Jun 30, 2022 | 43.84 Mn |
| Mar 31, 2022 | 35.85 Mn |
| Dec 31, 2021 | 42.94 Mn |
| Sep 30, 2021 | 36.84 Mn |
API Access
Merit Medical Systems EBITDA 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=ebitda&ticker=MMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();