Novartis Ag (NVS) Total Liabilities (2009 - 2026)
Novartis Ag (NVS) recorded Total Liabilities of $80.09 billion in Q2 2026, up 28.5% from $62.34 billion a year earlier and up 0.6% from the prior quarter.
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Analysis
Novartis Ag (NVS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Novartis Ag reported Total Liabilities of $64.4 billion, up 10.8% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $58.12 billion in FY2024 (+9.3%), $53.2 billion in FY2023 (-8.3%), $58.03 billion in FY2022 (-9.3%) and $63.97 billion in FY2021 (-10.0%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q1 2019.
- On a year-over-year basis, Total Liabilities has increased for seven consecutive quarters, with growth averaging 10.9% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 29.5% in Q1 2026, against a decline of 19.3% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $79.61 billion (Q1 2026), $64.4 billion (Q4 2025) and $62.54 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Vertex Pharmaceuticals | 138.78 Bn | 110.77 Bn | 2.91 Bn | 11.83 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.09 Bn |
| Mar 31, 2026 | 79.61 Bn |
| Dec 31, 2025 | 64.40 Bn |
| Sep 30, 2025 | 62.54 Bn |
| Jun 30, 2025 | 62.34 Bn |
| Mar 31, 2025 | 61.49 Bn |
| Dec 31, 2024 | 58.12 Bn |
| Sep 30, 2024 | 60.08 Bn |
| Jun 30, 2024 | 55.60 Bn |
| Mar 31, 2024 | 54.58 Bn |
| Dec 31, 2023 | 53.20 Bn |
| Sep 30, 2023 | 74.45 Bn |
| Jun 30, 2023 | 59.05 Bn |
| Mar 31, 2023 | 60.10 Bn |
| Dec 31, 2022 | 58.03 Bn |
| Sep 30, 2022 | 57.57 Bn |
| Jun 30, 2022 | 59.90 Bn |
| Mar 31, 2022 | 63.51 Bn |
| Dec 31, 2021 | 63.97 Bn |
| Sep 30, 2021 | 64.27 Bn |
API Access
Novartis Ag 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=NVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NVS", "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=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();