Novartis Ag (NVS) Total Current Liabilities (2009 - 2026)
Novartis Ag's Total Current Liabilities was $31.75 billion in Q2 2026, up 0.1% from $31.71 billion a year earlier and up 1.2% from the prior quarter.
Novartis Ag (NVS) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Novartis Ag came in at $27.28 billion, down 4.9% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $28.69 billion in FY2024 (+8.7%), $26.39 billion in FY2023 (-7.9%), $28.66 billion in FY2022 (-5.1%) and $30.21 billion in FY2021 (-8.6%).
- Quarterly Total Current Liabilities has moved between $26.39 billion (Q4 2023) and $48.39 billion (Q3 2023) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in five of the last eight quarters, with an average decline of 0.3%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2023 (growth of 71.9%); the worst was Q3 2024 (a decline of 41.9%).
- Per Business Quant data, NVS's Total Current Liabilities in the three quarters before Q2 2026 was $31.37 billion (Q1 2026), $27.28 billion (Q4 2025) and $32 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 18.66 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.75 Bn |
| Mar 31, 2026 | 31.37 Bn |
| Dec 31, 2025 | 27.28 Bn |
| Sep 30, 2025 | 32.00 Bn |
| Jun 30, 2025 | 31.71 Bn |
| Mar 31, 2025 | 31.62 Bn |
| Dec 31, 2024 | 28.69 Bn |
| Sep 30, 2024 | 28.13 Bn |
| Jun 30, 2024 | 27.61 Bn |
| Mar 31, 2024 | 29.29 Bn |
| Dec 31, 2023 | 26.39 Bn |
| Sep 30, 2023 | 48.39 Bn |
| Jun 30, 2023 | 31.91 Bn |
| Mar 31, 2023 | 30.55 Bn |
| Dec 31, 2022 | 28.66 Bn |
| Sep 30, 2022 | 28.16 Bn |
| Jun 30, 2022 | 27.65 Bn |
| Mar 31, 2022 | 29.81 Bn |
| Dec 31, 2021 | 30.21 Bn |
| Sep 30, 2021 | 29.88 Bn |
Novartis Ag Total 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-current-liabilities&ticker=NVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();