Merit Medical Systems (MMSI) Total Non-Current Liabilities (2010 - 2026)
Merit Medical Systems' Total Non-Current Liabilities came in at $1.14 billion for Q2 2026, up 5.4% from $1.08 billion a year earlier and up 6.4% from the prior quarter.
Powered by 
Analysis
Merit Medical Systems (MMSI) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Merit Medical Systems' Total Non-Current Liabilities was $1.08 billion, up 6.3% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.02 billion in FY2024 (-7.8%), $1.11 billion in FY2023 (+119.3%), $504.27 million in FY2022 (-13.8%) and $584.91 million in FY2021 (-10.4%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 11.7% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2023 (growth of 119.3%), and the weakest in Q4 2022 (a decline of 13.8%).
- Business Quant data shows MMSI's Total Non-Current Liabilities at $1.07 billion (Q1 2026), $1.08 billion (Q4 2025) and $1.08 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.66 Bn | 237.68 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 172.25 Bn | 142.68 Bn | 7.27 Bn | - |
| 3 | Danaher | 163.69 Bn | 147.49 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 152.41 Bn | 131.83 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.51 Bn | 84.76 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.97 Bn | 100.09 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.25 Bn | 60.02 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.52 Bn | 50.67 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.90 Bn | 34.90 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Merit Medical Systems | 5.47 Bn | 3.69 Bn | 215.17 Mn | 1.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | 1.05 Bn |
| Dec 31, 2025 | 1.07 Bn |
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.01 Bn |
| Dec 31, 2024 | 1.02 Bn |
| Sep 30, 2024 | 1.02 Bn |
| Jun 30, 2024 | 1.05 Bn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.11 Bn |
| Sep 30, 2023 | 547.05 Mn |
| Jun 30, 2023 | 601.97 Mn |
| Mar 31, 2023 | 480.43 Mn |
| Dec 31, 2022 | 504.27 Mn |
| Sep 30, 2022 | 511.34 Mn |
| Jun 30, 2022 | 523.90 Mn |
| Mar 31, 2022 | 540.59 Mn |
| Dec 31, 2021 | 584.91 Mn |
| Sep 30, 2021 | 583.24 Mn |
API Access
Merit Medical Systems Total Non-Current Liabilities 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-non-current-liabilities&ticker=MMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();