Merit Medical Systems (MMSI) Total Debt (2009 - 2026)
Merit Medical Systems (MMSI) posted Total Debt of $737.4 million for Q3 2026, up 0.6% from $732.92 million a year earlier and up 0.2% from the prior quarter.
Merit Medical Systems (MMSI) Total Debt (2009 - 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 Q3 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 four quarters, with an average decline of 3.6% 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 $736.26 million (Q2 2026), $735.16 million (Q1 2026) and $734.04 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 41.37 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 31.16 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 26.48 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 14.93 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 11.95 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 598.80 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 12.58 Bn |
| 10 | Merit Medical Systems | 5.26 Bn | 3.37 Bn | 200.63 Mn | 747.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 747.79 Mn |
| Jun 30, 2026 | 747.18 Mn |
| Mar 31, 2026 | 746.39 Mn |
| Dec 31, 2025 | 744.91 Mn |
| Sep 30, 2025 | 743.53 Mn |
| Jun 30, 2025 | 742.06 Mn |
| Mar 31, 2025 | 740.11 Mn |
| Dec 31, 2024 | 739.88 Mn |
| Sep 30, 2024 | 761.97 Mn |
| Jun 30, 2024 | 813.06 Mn |
| Mar 31, 2024 | 812.61 Mn |
| Dec 31, 2023 | 835.10 Mn |
| Sep 30, 2023 | 297.81 Mn |
| Jun 30, 2023 | 350.51 Mn |
| Mar 31, 2023 | 208.57 Mn |
| Dec 31, 2022 | 209.01 Mn |
| Sep 30, 2022 | 226.97 Mn |
| Jun 30, 2022 | 256.46 Mn |
| Mar 31, 2022 | 262.79 Mn |
| Dec 31, 2021 | 253.50 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();