Novartis Ag (NVS) Total Non-Current Liabilities (2009 - 2026)
Novartis Ag (NVS) posted Total Non-Current Liabilities of $48.34 billion for Q2 2026, up 57.8% from $30.63 billion a year earlier and up 0.2% from the prior quarter.
Novartis Ag (NVS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Novartis Ag's Total Non-Current Liabilities came in at $37.12 billion, up 26.1% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Novartis Ag's Total Non-Current Liabilities was $29.43 billion in FY2024 (+9.8%), $26.81 billion in FY2023 (-8.7%), $29.37 billion in FY2022 (-13.0%) and $33.77 billion in FY2021 (-11.3%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q1 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 25.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2026, with growth of 61.5%; the weakest was Q3 2021, with a decline of 20.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $48.23 billion (Q1 2026), $37.12 billion (Q4 2025) and $30.54 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Vertex Pharmaceuticals | 135.25 Bn | 107.26 Bn | 2.84 Bn | 5.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.34 Bn |
| Mar 31, 2026 | 48.23 Bn |
| Dec 31, 2025 | 37.12 Bn |
| Sep 30, 2025 | 30.54 Bn |
| Jun 30, 2025 | 30.63 Bn |
| Mar 31, 2025 | 29.87 Bn |
| Dec 31, 2024 | 29.43 Bn |
| Sep 30, 2024 | 31.95 Bn |
| Jun 30, 2024 | 27.99 Bn |
| Mar 31, 2024 | 25.29 Bn |
| Dec 31, 2023 | 26.81 Bn |
| Sep 30, 2023 | 26.06 Bn |
| Jun 30, 2023 | 27.14 Bn |
| Mar 31, 2023 | 29.55 Bn |
| Dec 31, 2022 | 29.37 Bn |
| Sep 30, 2022 | 29.41 Bn |
| Jun 30, 2022 | 32.26 Bn |
| Mar 31, 2022 | -12.00 Mn |
| Dec 31, 2021 | 33.77 Bn |
| Sep 30, 2021 | 34.39 Bn |
Novartis Ag 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=NVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();