Merit Medical Systems (MMSI) Accumulated Expenses (2010 - 2026)
Merit Medical Systems (MMSI) posted Accumulated Expenses of $172.19 million for Q2 2026, up 22.8% from $140.2 million a year earlier and up 40.5% from the prior quarter.
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Analysis
Merit Medical Systems (MMSI) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Merit Medical Systems' Accumulated Expenses came in at $159.49 million, up 19.0% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In prior years, Merit Medical Systems' Accumulated Expenses was $134.08 million in FY2024 (+11.3%), $120.45 million in FY2023 (-2.2%), $123.19 million in FY2022 (-22.5%) and $159.01 million in FY2021 (+42.0%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last nine quarters, with growth averaging 12.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 42.0%; the weakest was Q4 2022, with a decline of 22.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $122.52 million (Q1 2026), $159.49 million (Q4 2025) and $147.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Merit Medical Systems | 5.15 Bn | 3.37 Bn | 215.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 172.19 Mn |
| Mar 31, 2026 | 122.52 Mn |
| Dec 31, 2025 | 159.49 Mn |
| Sep 30, 2025 | 147.38 Mn |
| Jun 30, 2025 | 140.20 Mn |
| Mar 31, 2025 | 118.68 Mn |
| Dec 31, 2024 | 134.08 Mn |
| Sep 30, 2024 | 127.26 Mn |
| Jun 30, 2024 | 117.57 Mn |
| Mar 31, 2024 | 113.22 Mn |
| Dec 31, 2023 | 120.45 Mn |
| Sep 30, 2023 | 119.29 Mn |
| Jun 30, 2023 | 110.66 Mn |
| Mar 31, 2023 | 119.20 Mn |
| Dec 31, 2022 | 123.19 Mn |
| Sep 30, 2022 | 124.50 Mn |
| Jun 30, 2022 | 111.96 Mn |
| Mar 31, 2022 | 122.39 Mn |
| Dec 31, 2021 | 159.01 Mn |
| Sep 30, 2021 | 141.93 Mn |
API Access
Merit Medical Systems Accumulated Expenses 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=accumulated-expenses&ticker=MMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();