Teva Pharmaceutical Industries (TEVA) Other Non-Current Liabilities (2009 - 2026)
Teva Pharmaceutical Industries' Other Non-Current Liabilities came in at $3.79 billion for Q2 2026, down 3.7% from $3.94 billion a year earlier but up 2.2% from the prior quarter.
Teva Pharmaceutical Industries (TEVA) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Teva Pharmaceutical Industries' Other Non-Current Liabilities was $3.81 billion, down 5.5% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $4.03 billion in FY2024 (+0.2%), $4.02 billion in FY2023 (+1.9%), $3.95 billion in FY2022 (+53.0%) and $2.58 billion in FY2021 (+15.1%).
- The five-year range for quarterly Other Non-Current Liabilities is $2.2 billion (Q3 2021) to $4.36 billion (Q2 2024).
- Year-over-year, Other Non-Current Liabilities has declined for five consecutive quarters, with an average decline of 3.9% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q3 2022 (growth of 75.2%), and the weakest in Q3 2025 (a decline of 15.7%).
- Business Quant data shows TEVA's Other Non-Current Liabilities at $3.71 billion (Q1 2026), $3.81 billion (Q4 2025) and $3.66 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Teva Pharmaceutical Industries | 45.31 Bn | 32.16 Bn | 2.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.79 Bn |
| Mar 31, 2026 | 3.71 Bn |
| Dec 31, 2025 | 3.81 Bn |
| Sep 30, 2025 | 3.66 Bn |
| Jun 30, 2025 | 3.94 Bn |
| Mar 31, 2025 | 4.01 Bn |
| Dec 31, 2024 | 4.03 Bn |
| Sep 30, 2024 | 4.34 Bn |
| Jun 30, 2024 | 4.36 Bn |
| Mar 31, 2024 | 3.99 Bn |
| Dec 31, 2023 | 4.02 Bn |
| Sep 30, 2023 | 3.95 Bn |
| Jun 30, 2023 | 4.09 Bn |
| Mar 31, 2023 | 3.98 Bn |
| Dec 31, 2022 | 3.95 Bn |
| Sep 30, 2022 | 3.86 Bn |
| Jun 30, 2022 | 3.86 Bn |
| Mar 31, 2022 | 3.29 Bn |
| Dec 31, 2021 | 2.58 Bn |
| Sep 30, 2021 | 2.20 Bn |
Teva Pharmaceutical Industries Other 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=other-non-current-liabilities&ticker=TEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();