Merit Medical Systems (MMSI) Total Debt (2010 - 2026)
Merit Medical Systems (MMSI) posted Total Debt of $736.26 million for Q2 2026, up 0.6% from $731.8 million a year earlier and up 0.1% from the prior quarter.
Merit Medical Systems (MMSI) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Merit Medical Systems' Total Debt came in at $734.04 million, up 0.6% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- In prior years, Merit Medical Systems' Total Debt was $729.55 million in FY2024 (-11.4%), $823.01 million in FY2023 (+315.6%), $198.01 million in FY2022 (-18.5%) and $242.84 million in FY2021 (-30.9%).
- The Q2 2026 figure stands as the highest quarterly Total Debt since Q3 2024.
- On a year-over-year basis, Total Debt has increased in each of the last three quarters, with growth averaging 16.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q4 2023, with growth of 315.6%; the weakest was Q4 2021, with a decline of 30.9%.
- According to Business Quant data, Total Debt for the three prior quarters was $735.16 million (Q1 2026), $734.04 million (Q4 2025) and $732.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 16.81 Bn |
| 10 | Merit Medical Systems | 5.25 Bn | 3.47 Bn | 215.17 Mn | 736.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 736.26 Mn |
| Mar 31, 2026 | 735.16 Mn |
| Dec 31, 2025 | 734.04 Mn |
| Sep 30, 2025 | 732.92 Mn |
| Jun 30, 2025 | 731.80 Mn |
| Mar 31, 2025 | 730.67 Mn |
| Dec 31, 2024 | 729.55 Mn |
| Sep 30, 2024 | 750.51 Mn |
| Jun 30, 2024 | 801.32 Mn |
| Mar 31, 2024 | 800.14 Mn |
| Dec 31, 2023 | 823.01 Mn |
| Sep 30, 2023 | 286.12 Mn |
| Jun 30, 2023 | 338.98 Mn |
| Mar 31, 2023 | 197.67 Mn |
| Dec 31, 2022 | 198.01 Mn |
| Sep 30, 2022 | 216.66 Mn |
| Jun 30, 2022 | 246.02 Mn |
| Mar 31, 2022 | 252.49 Mn |
| Dec 31, 2021 | 242.84 Mn |
| Sep 30, 2021 | 278.68 Mn |
Merit Medical Systems Total Debt 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=total-debt&ticker=MMSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();