Teva Pharmaceutical Industries (TEVA) Other Accumulated Expenses (2009 - 2026)
Teva Pharmaceutical Industries' Other Accumulated Expenses came in at $987 million for Q2 2026, up 5.0% from $940 million a year earlier but down 11.2% from the prior quarter.
Teva Pharmaceutical Industries (TEVA) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Teva Pharmaceutical Industries' Other Accumulated Expenses was $1.18 billion, up 15.9% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $1.02 billion in FY2024 (-2.3%), $1.04 billion in FY2023 (+3.9%), $1.01 billion in FY2022 (+11.3%) and $903 million in FY2021 (-3.2%).
- The five-year range for quarterly Other Accumulated Expenses is $770 million (Q3 2021) to $1.24 billion (Q3 2024).
- Year-over-year, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q3 2024 (growth of 22.7%), and the weakest in Q2 2025 (a decline of 21.1%).
- Business Quant data shows TEVA's Other Accumulated Expenses at $1.11 billion (Q1 2026), $1.18 billion (Q4 2025) and $1.1 billion (Q3 2025) in the three quarters before Q2 2026.
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 | 987.00 Mn |
| Mar 31, 2026 | 1.11 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 1.10 Bn |
| Jun 30, 2025 | 940.00 Mn |
| Mar 31, 2025 | 964.00 Mn |
| Dec 31, 2024 | 1.02 Bn |
| Sep 30, 2024 | 1.24 Bn |
| Jun 30, 2024 | 1.19 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Dec 31, 2023 | 1.04 Bn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 30, 2023 | 973.00 Mn |
| Mar 31, 2023 | 1.00 Bn |
| Dec 31, 2022 | 1.01 Bn |
| Sep 30, 2022 | 945.00 Mn |
| Jun 30, 2022 | 916.00 Mn |
| Mar 31, 2022 | 900.00 Mn |
| Dec 31, 2021 | 903.00 Mn |
| Sep 30, 2021 | 770.00 Mn |
Teva Pharmaceutical Industries Other Accumulated Expenses 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-accumulated-expenses&ticker=TEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();