Merit Medical Systems (MMSI) Total Non-Current Liabilities (2010 - 2026)
Merit Medical Systems' Total Non-Current Liabilities came in at $1.12 billion for Q3 2026, up 4.3% from $1.07 billion a year earlier and unchanged from the prior quarter.
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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 $1.07 billion, up 5.0% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 10.4% (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 Q3 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 six consecutive quarters, with growth averaging 1.6% 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 $1.12 billion (Q2 2026), $1.05 billion (Q1 2026) and $1.07 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | - |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | - |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Merit Medical Systems | 5.24 Bn | 3.36 Bn | 200.63 Mn | 1.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.12 Bn |
| 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 |
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();