Teva Pharmaceutical Industries (TEVA) Asset Writedowns and Impairment (2009 - 2026)
Teva Pharmaceutical Industries' Asset Writedowns and Impairment was $113 million in Q2 2026, up 14.1% from $99 million a year earlier.
Teva Pharmaceutical Industries (TEVA) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Teva Pharmaceutical Industries' Asset Writedowns and Impairment was $975 million through Jun 30, 2026, down 7.7% year-over-year; for FY2025, it was $1.03 billion, down 19.7% from FY2024.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of -30.9% (FY2020 to FY2025).
- In earlier years, Asset Writedowns and Impairment was $1.28 billion in FY2024 (+82.9%), $700 million in FY2023 (-65.8%), $2.05 billion in FY2022 (+250.2%) and $584 million in FY2021 (-91.1%).
- Quarterly Asset Writedowns and Impairment has moved between $10 million (Q1 2026) and $1.04 billion (Q4 2022) over five years.
- Compared with a year earlier, Asset Writedowns and Impairment was higher in two of the last six quarters, with an average decline of 24.6%.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was Q4 2022 (growth of 469.9%); the worst was Q3 2021 (a decline of 99.1%).
- Per Business Quant data, TEVA's Asset Writedowns and Impairment in the three quarters before Q2 2026 was $10 million (Q1 2026), $773 million (Q4 2025) and $79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Teva Pharmaceutical Industries | 46.06 Bn | 32.91 Bn | 2.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.00 Mn |
| Mar 31, 2026 | 10.00 Mn |
| Dec 31, 2025 | 773.00 Mn |
| Sep 30, 2025 | 79.00 Mn |
| Jun 30, 2025 | 99.00 Mn |
| Mar 31, 2025 | 77.00 Mn |
| Dec 31, 2024 | 280.00 Mn |
| Sep 30, 2024 | 600.00 Mn |
| Jun 30, 2024 | 400.00 Mn |
| Mar 31, 2024 | 679.00 Mn |
| Sep 30, 2023 | 48.00 Mn |
| Jun 30, 2023 | 511.00 Mn |
| Mar 31, 2023 | 189.00 Mn |
| Dec 31, 2022 | 1.04 Bn |
| Sep 30, 2022 | 28.00 Mn |
| Jun 30, 2022 | 810.00 Mn |
| Mar 31, 2022 | 165.00 Mn |
| Dec 31, 2021 | 183.00 Mn |
| Sep 30, 2021 | 47.00 Mn |
| Jun 30, 2021 | 227.00 Mn |
Teva Pharmaceutical Industries Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=TEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();