Merit Medical Systems (MMSI) EBT (2010 - 2026)
Merit Medical Systems (MMSI) posted EBT of $51.31 million for Q2 2026, up 18.3% from $43.38 million a year earlier but down 4.2% from the prior quarter.
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Analysis
Merit Medical Systems (MMSI) EBT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Merit Medical Systems was $194.46 million, up 28.7% year-over-year; for FY2025, it was $170.94 million, up 14.0% from FY2024.
- Annual EBT has increased for four consecutive years.
- In prior years, Merit Medical Systems' EBT was $149.99 million in FY2024 (+33.8%), $112.09 million in FY2023 (+35.7%), $82.63 million in FY2022 (+53.3%) and $53.92 million in FY2021.
- Quarterly EBT has run from a low of $14.17 million in Q1 2022 to a high of $53.55 million in Q1 2026 over five years.
- On a year-over-year basis, EBT has increased in each of the last four quarters, with growth averaging 18.8% over the last eight quarters.
- The strongest year-over-year quarter for EBT in the past five years was Q2 2022, with growth of 201.5%; the weakest was Q2 2025, with a decline of 5.4%.
- According to Business Quant data, EBT for the three prior quarters was $53.55 million (Q1 2026), $51.06 million (Q4 2025) and $38.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 1.92 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.52 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.08 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.05 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.77 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.56 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.06 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 519.80 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 554.00 Mn |
| 10 | Merit Medical Systems | 5.15 Bn | 3.37 Bn | 215.17 Mn | 51.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.31 Mn |
| Mar 31, 2026 | 53.55 Mn |
| Dec 31, 2025 | 51.06 Mn |
| Sep 30, 2025 | 38.54 Mn |
| Jun 30, 2025 | 43.38 Mn |
| Mar 31, 2025 | 37.96 Mn |
| Dec 31, 2024 | 33.15 Mn |
| Sep 30, 2024 | 36.66 Mn |
| Jun 30, 2024 | 45.84 Mn |
| Mar 31, 2024 | 34.35 Mn |
| Dec 31, 2023 | 31.47 Mn |
| Sep 30, 2023 | 30.22 Mn |
| Jun 30, 2023 | 24.90 Mn |
| Mar 31, 2023 | 25.50 Mn |
| Dec 31, 2022 | 30.16 Mn |
| Sep 30, 2022 | 17.60 Mn |
| Jun 30, 2022 | 20.70 Mn |
| Mar 31, 2022 | 14.17 Mn |
| Dec 31, 2021 | 20.18 Mn |
| Sep 30, 2021 | 14.18 Mn |
API Access
Merit Medical Systems EBT 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=ebt&ticker=MMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();