Teva Pharmaceutical Industries (TEVA) Goodwill impairment charges (2016 - 2024)
Teva Pharmaceutical Industries (TEVA) recorded Goodwill impairment charges of $280 million in Q4 2024, down 53.3% from the prior quarter.
Teva Pharmaceutical Industries (TEVA) Goodwill impairment charges (2016 - 2024) Analysis & Trends
For FY2024, Teva Pharmaceutical Industries reported Goodwill impairment charges of $1.28 billion, up 82.9% from FY2023.
- Annual Goodwill impairment charges has a four-year compound annual growth rate of -27.5% (FY2020 to FY2024).
- Across earlier years, Goodwill impairment charges came in at $700 million in FY2023 (-65.8%), $2.05 billion in FY2022 and $4.63 billion in FY2020.
- The Q4 2024 figure is the lowest quarterly Goodwill impairment charges since Q2 2018.
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 |
|---|---|
| Dec 31, 2024 | 280.00 Mn |
| Sep 30, 2024 | 600.00 Mn |
| Jun 30, 2024 | 400.00 Mn |
| Jun 30, 2023 | 700.00 Mn |
| Dec 31, 2022 | 1.30 Bn |
| Jun 30, 2022 | 745.00 Mn |
| Sep 30, 2020 | 4.63 Bn |
| Dec 31, 2018 | 2.73 Bn |
| Jun 30, 2018 | 120.00 Mn |
| Mar 31, 2018 | 180.00 Mn |
| Dec 31, 2017 | 11.00 Bn |
| Jun 30, 2017 | 6.10 Bn |
| Dec 31, 2016 | 900.00 Mn |
Teva Pharmaceutical Industries Goodwill impairment charges 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=goodwill-impairment-charges&ticker=TEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-impairment-charges", "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=goodwill-impairment-charges&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();