Merit Medical Systems (MMSI) Cash & Equivalents (2009 - 2026)
Merit Medical Systems' Cash & Equivalents came in at $503.55 million for Q3 2026, up 28.3% from $392.46 million a year earlier and up 12.2% from the prior quarter.
Merit Medical Systems (MMSI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Merit Medical Systems' Cash & Equivalents was $446.4 million, up 18.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 51.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $376.72 million in FY2024 (-35.8%), $587.04 million in FY2023 (+905.1%), $58.41 million in FY2022 (-13.8%) and $67.75 million in FY2021 (+19.0%).
- The Q3 2026 figure represents the highest quarterly Cash & Equivalents since Q3 2024.
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with an average decline of 4.7% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2023 (growth of 905.1%), and the weakest in Q2 2025 (a decline of 46.3%).
- Business Quant data shows MMSI's Cash & Equivalents at $448.7 million (Q2 2026), $488.08 million (Q1 2026) and $446.4 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Merit Medical Systems | 5.26 Bn | 3.37 Bn | 200.63 Mn | 503.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 503.55 Mn |
| Jun 30, 2026 | 448.70 Mn |
| Mar 31, 2026 | 488.08 Mn |
| Dec 31, 2025 | 446.40 Mn |
| Sep 30, 2025 | 392.46 Mn |
| Jun 30, 2025 | 341.82 Mn |
| Mar 31, 2025 | 395.53 Mn |
| Dec 31, 2024 | 376.72 Mn |
| Sep 30, 2024 | 523.13 Mn |
| Jun 30, 2024 | 636.66 Mn |
| Mar 31, 2024 | 581.92 Mn |
| Dec 31, 2023 | 587.04 Mn |
| Sep 30, 2023 | 58.67 Mn |
| Jun 30, 2023 | 72.08 Mn |
| Mar 31, 2023 | 57.95 Mn |
| Dec 31, 2022 | 58.41 Mn |
| Sep 30, 2022 | 51.48 Mn |
| Jun 30, 2022 | 63.00 Mn |
| Mar 31, 2022 | 53.88 Mn |
| Dec 31, 2021 | 67.75 Mn |
Merit Medical Systems Cash & Equivalents 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=cash-and-equivalents&ticker=MMSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();