Teva Pharmaceutical Industries (TEVA) Total Non-Current Liabilities (2009 - 2026)
Teva Pharmaceutical Industries' Total Non-Current Liabilities came in at $16.45 billion for Q2 2026, down 23.2% from $21.44 billion a year earlier and down 10.0% from the prior quarter.
Teva Pharmaceutical Industries (TEVA) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Teva Pharmaceutical Industries' Total Non-Current Liabilities was $19.38 billion, down 6.9% from FY2024.
- Total Non-Current Liabilities has declined in each of the last nine years, with a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $20.81 billion in FY2024 (-9.9%), $23.11 billion in FY2023 (-3.5%), $23.94 billion in FY2022 (-5.7%) and $25.4 billion in FY2021 (-3.9%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q2 2016.
- Year-over-year, Total Non-Current Liabilities has declined for 11 consecutive quarters, with an average decline of 8.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2023 (growth of 0.4%), and the weakest in Q2 2026 (a decline of 23.2%).
- Business Quant data shows TEVA's Total Non-Current Liabilities at $18.28 billion (Q1 2026), $19.38 billion (Q4 2025) and $21.11 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Teva Pharmaceutical Industries | 45.31 Bn | 32.16 Bn | 2.15 Bn | 16.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.45 Bn |
| Mar 31, 2026 | 18.28 Bn |
| Dec 31, 2025 | 19.38 Bn |
| Sep 30, 2025 | 21.11 Bn |
| Jun 30, 2025 | 21.44 Bn |
| Mar 31, 2025 | 20.99 Bn |
| Dec 31, 2024 | 20.81 Bn |
| Sep 30, 2024 | 21.58 Bn |
| Jun 30, 2024 | 21.74 Bn |
| Mar 31, 2024 | 21.44 Bn |
| Dec 31, 2023 | 23.11 Bn |
| Sep 30, 2023 | 23.31 Bn |
| Jun 30, 2023 | 23.66 Bn |
| Mar 31, 2023 | 24.55 Bn |
| Dec 31, 2022 | 23.94 Bn |
| Sep 30, 2022 | 23.21 Bn |
| Jun 30, 2022 | 25.13 Bn |
| Mar 31, 2022 | 25.19 Bn |
| Dec 31, 2021 | 25.40 Bn |
| Sep 30, 2021 | 24.58 Bn |
Teva Pharmaceutical Industries 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=TEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TEVA", "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=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();