Merit Medical Systems (MMSI) Total Liabilities (2010 - 2026)
Merit Medical Systems' Total Liabilities was $1.18 billion in Q3 2026, up 7.2% from $1.1 billion a year earlier but down 0.3% from the prior quarter.
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Analysis
Merit Medical Systems (MMSI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Merit Medical Systems came in at $1.1 billion, up 6.0% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $1.04 billion in FY2024 (-7.5%), $1.12 billion in FY2023 (+116.2%), $519.57 million in FY2022 (-14.6%) and $608.5 million in FY2021 (-13.8%).
- Quarterly Total Liabilities has moved between $512.45 million (Q1 2023) and $1.18 billion (Q2 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for six straight quarters, with growth averaging 2.4% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2023 (growth of 116.2%); the worst was Q1 2022 (a decline of 15.1%).
- Per Business Quant data, MMSI's Total Liabilities in the three quarters before Q3 2026 was $1.18 billion (Q2 2026), $1.09 billion (Q1 2026) and $1.1 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Merit Medical Systems | 5.24 Bn | 3.36 Bn | 200.63 Mn | 1.18 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.18 Bn |
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 1.10 Bn |
| Sep 30, 2025 | 1.10 Bn |
| Jun 30, 2025 | 1.10 Bn |
| Mar 31, 2025 | 1.04 Bn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 1.05 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.09 Bn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 578.62 Mn |
| Jun 30, 2023 | 633.87 Mn |
| Mar 31, 2023 | 512.45 Mn |
| Dec 31, 2022 | 519.57 Mn |
| Sep 30, 2022 | 543.90 Mn |
| Jun 30, 2022 | 558.21 Mn |
| Mar 31, 2022 | 573.22 Mn |
| Dec 31, 2021 | 608.50 Mn |
API Access
Merit Medical Systems Total 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-liabilities&ticker=MMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();