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 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Vertex Pharmaceuticals | 135.58 Bn | 107.59 Bn | 2.84 Bn | 7.18 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();