Teva Pharmaceutical Industries (TEVA) Short-Term Debt repayments (2020 - 2023)
Teva Pharmaceutical Industries' Short-Term Debt repayments came in at $500 million for Q4 2023, up 150.0% from the prior quarter.
Analysis
Teva Pharmaceutical Industries (TEVA) Short-Term Debt repayments (2020 - 2023) Analysis & Trends
For FY2023, Teva Pharmaceutical Industries' Short-Term Debt repayments was $700 million.
- Short-Term Debt repayments carries a five-year compound annual growth rate of 21.9% (FY2018 to FY2023).
- Going back by year, Short-Term Debt repayments was $700 million in FY2021 (+25.2%), $559 million in FY2020 (+11.4%) and $502 million in FY2019 (+93.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,154.54 Bn | 1,123.13 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.94 Bn | 542.46 Bn | 17.26 Bn | 6.45 Bn |
| 3 | AbbVie | 511.93 Bn | 485.04 Bn | 12.70 Bn | - |
| 4 | Merck | 365.40 Bn | 319.78 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 297.27 Bn | 261.26 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.30 Bn | 234.99 Bn | 12.86 Bn | - |
| 7 | Amgen | 234.77 Bn | 190.17 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 192.76 Bn | 166.96 Bn | 6.22 Bn | - |
| 9 | Pfizer | 171.68 Bn | 118.33 Bn | 10.94 Bn | - |
| 10 | Teva Pharmaceutical Industries | 48.04 Bn | 34.89 Bn | 2.15 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 500.00 Mn |
| Sep 30, 2023 | 200.00 Mn |
| Dec 31, 2021 | 500.00 Mn |
| Dec 31, 2020 | 443.00 Mn |
API Access
Teva Pharmaceutical Industries Short-Term Debt repayments 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=short-term-debt-repayments&ticker=TEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();