Teva Pharmaceutical Industries (TEVA) Operating Expenses (2009 - 2026)
Teva Pharmaceutical Industries' Operating Expenses was $1.29 billion in Q2 2026, up 134.4% from $549 million a year earlier and up 144.7% from the prior quarter.
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Analysis
Teva Pharmaceutical Industries (TEVA) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Teva Pharmaceutical Industries' Operating Expenses was $3.02 billion through Jun 30, 2026, up 38.5% year-over-year; for FY2025, it was $2.3 billion, up 6.5% from FY2024.
- Operating Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.16 billion in FY2024 (+2.1%), $2.12 billion in FY2023 (+4.8%), $2.02 billion in FY2022 (-2.3%) and $2.07 billion in FY2021 (-4.8%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2009.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 20.8%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 134.4%); the worst was Q4 2021 (a decline of 16.0%).
- Per Business Quant data, TEVA's Operating Expenses in the three quarters before Q2 2026 was $526 million (Q1 2026), $634 million (Q4 2025) and $573 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Teva Pharmaceutical Industries | 48.14 Bn | 34.98 Bn | 2.15 Bn | 1.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.29 Bn |
| Mar 31, 2026 | 526.00 Mn |
| Dec 31, 2025 | 634.00 Mn |
| Sep 30, 2025 | 573.00 Mn |
| Jun 30, 2025 | 549.00 Mn |
| Mar 31, 2025 | 544.00 Mn |
| Dec 31, 2024 | 549.00 Mn |
| Sep 30, 2024 | 538.00 Mn |
| Jun 30, 2024 | 552.00 Mn |
| Mar 31, 2024 | 520.00 Mn |
| Dec 31, 2023 | 519.00 Mn |
| Sep 30, 2023 | 521.00 Mn |
| Jun 30, 2023 | 547.00 Mn |
| Mar 31, 2023 | 530.00 Mn |
| Dec 31, 2022 | 498.00 Mn |
| Sep 30, 2022 | 458.00 Mn |
| Jun 30, 2022 | 541.00 Mn |
| Mar 31, 2022 | 521.00 Mn |
| Dec 31, 2021 | 521.00 Mn |
| Sep 30, 2021 | 513.00 Mn |
API Access
Teva Pharmaceutical Industries Operating 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=operating-expenses&ticker=TEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();