Teva Pharmaceutical Industries (TEVA) Total Current Liabilities (2009 - 2026)
Teva Pharmaceutical Industries' Total Current Liabilities was $15.65 billion in Q2 2026, up 31.9% from $11.86 billion a year earlier and up 15.6% from the prior quarter.
Teva Pharmaceutical Industries (TEVA) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Teva Pharmaceutical Industries came in at $13.46 billion, up 5.2% from FY2024.
- Total Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $12.8 billion in FY2024 (+4.5%), $12.25 billion in FY2023 (+6.8%), $11.47 billion in FY2022 (+4.0%) and $11.03 billion in FY2021 (-16.2%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q4 2017.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 4.9% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2024 (growth of 32.5%); the worst was Q1 2025 (a decline of 19.1%).
- Per Business Quant data, TEVA's Total Current Liabilities in the three quarters before Q2 2026 was $13.53 billion (Q1 2026), $13.46 billion (Q4 2025) and $11.49 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Teva Pharmaceutical Industries | 45.31 Bn | 32.16 Bn | 2.15 Bn | 15.65 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.65 Bn |
| Mar 31, 2026 | 13.53 Bn |
| Dec 31, 2025 | 13.46 Bn |
| Sep 30, 2025 | 11.49 Bn |
| Jun 30, 2025 | 11.86 Bn |
| Mar 31, 2025 | 11.16 Bn |
| Dec 31, 2024 | 12.80 Bn |
| Sep 30, 2024 | 13.80 Bn |
| Jun 30, 2024 | 13.04 Bn |
| Mar 31, 2024 | 13.79 Bn |
| Dec 31, 2023 | 12.25 Bn |
| Sep 30, 2023 | 11.39 Bn |
| Jun 30, 2023 | 11.84 Bn |
| Mar 31, 2023 | 10.41 Bn |
| Dec 31, 2022 | 11.47 Bn |
| Sep 30, 2022 | 11.53 Bn |
| Jun 30, 2022 | 11.00 Bn |
| Mar 31, 2022 | 11.61 Bn |
| Dec 31, 2021 | 11.03 Bn |
| Sep 30, 2021 | 11.83 Bn |
Teva Pharmaceutical Industries 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=TEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();