Merit Medical Systems (MMSI) Other Accumulated Expenses (2018 - 2025)
Merit Medical Systems' Other Accumulated Expenses came in at $50.5 million for Q4 2025, up 30.4% from $38.74 million a year earlier.
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Analysis
Merit Medical Systems (MMSI) Other Accumulated Expenses (2018 - 2025) Analysis & Trends
Going back to Q4 2018, Merit Medical Systems' Other Accumulated Expenses data covers 8 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $38.74 million in FY2024 (-3.8%), $40.26 million in FY2023 (+9.8%), $36.67 million in FY2022 (+4.4%) and $35.12 million in FY2021 (-17.0%).
- The Q4 2025 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Merit Medical Systems | 5.10 Bn | 3.32 Bn | 215.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 50.50 Mn |
| Dec 31, 2024 | 38.74 Mn |
| Dec 31, 2023 | 40.26 Mn |
| Dec 31, 2022 | 36.67 Mn |
| Dec 31, 2021 | 35.12 Mn |
| Dec 31, 2020 | 42.30 Mn |
| Dec 31, 2019 | 27.29 Mn |
| Dec 31, 2018 | 27.69 Mn |
API Access
Merit Medical Systems Other 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=other-accumulated-expenses&ticker=MMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();