Merck (MRK) Total Liabilities (2009 - 2026)
Merck's Total Liabilities was $87.82 billion in Q2 2026, up 28.3% from $68.46 billion a year earlier and up 6.1% from the prior quarter.
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Analysis
Merck (MRK) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Merck came in at $84.2 billion, up 19.0% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $70.73 billion in FY2024 (+2.5%), $69.04 billion in FY2023 (+9.4%), $63.1 billion in FY2022 (-6.4%) and $67.44 billion in FY2021 (+1.9%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q2 2009.
- Compared with a year earlier, Total Liabilities has increased for four straight quarters, with growth averaging 11.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2026 (growth of 28.3%); the worst was Q1 2023 (a decline of 7.3%).
- Per Business Quant data, MRK's Total Liabilities in the three quarters before Q2 2026 was $82.75 billion (Q1 2026), $84.2 billion (Q4 2025) and $77.64 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 65.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.82 Bn |
| Mar 31, 2026 | 82.75 Bn |
| Dec 31, 2025 | 84.20 Bn |
| Sep 30, 2025 | 77.64 Bn |
| Jun 30, 2025 | 68.46 Bn |
| Mar 31, 2025 | 66.72 Bn |
| Dec 31, 2024 | 70.73 Bn |
| Sep 30, 2024 | 72.97 Bn |
| Jun 30, 2024 | 68.98 Bn |
| Mar 31, 2024 | 65.43 Bn |
| Dec 31, 2023 | 69.04 Bn |
| Sep 30, 2023 | 65.43 Bn |
| Jun 30, 2023 | 65.73 Bn |
| Mar 31, 2023 | 60.89 Bn |
| Dec 31, 2022 | 63.10 Bn |
| Sep 30, 2022 | 62.56 Bn |
| Jun 30, 2022 | 63.78 Bn |
| Mar 31, 2022 | 65.72 Bn |
| Dec 31, 2021 | 67.44 Bn |
| Sep 30, 2021 | 57.63 Bn |
API Access
Merck 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=MRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MRK", "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=MRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();