Teva Pharmaceutical Industries (TEVA) Research & Development (2009 - 2026)
Teva Pharmaceutical Industries (TEVA) recorded Research & Development of $970 million in Q2 2026, up 297.5% from $244 million a year earlier and up 336.9% from the prior quarter.
Teva Pharmaceutical Industries (TEVA) Research & Development (2009 - 2026) Analysis & Trends
On a TTM basis, Teva Pharmaceutical Industries' Research & Development came in at $1.72 billion as of Jun 30, 2026, up 75.4% year-over-year; for FY2025, it was $1.01 billion, up 1.5% from FY2024.
- Annual Research & Development has increased for three straight years, with a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $998 million in FY2024 (+4.7%), $953 million in FY2023 (+13.7%), $838 million in FY2022 (-13.3%) and $967 million in FY2021 (-3.0%).
- The Q2 2026 figure is the highest quarterly Research & Development in data going back to Q1 2009.
- On a year-over-year basis, Research & Development rose in five of the last eight quarters, with growth averaging 37.3%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 297.5% in Q2 2026, against a decline of 21.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $222 million (Q1 2026), $267 million (Q4 2025) and $256 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Teva Pharmaceutical Industries | 45.31 Bn | 32.16 Bn | 2.15 Bn | 970.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 970.00 Mn |
| Mar 31, 2026 | 222.00 Mn |
| Dec 31, 2025 | 267.00 Mn |
| Sep 30, 2025 | 256.00 Mn |
| Jun 30, 2025 | 244.00 Mn |
| Mar 31, 2025 | 247.00 Mn |
| Dec 31, 2024 | 247.00 Mn |
| Sep 30, 2024 | 240.00 Mn |
| Jun 30, 2024 | 269.00 Mn |
| Mar 31, 2024 | 242.00 Mn |
| Dec 31, 2023 | 227.00 Mn |
| Sep 30, 2023 | 253.00 Mn |
| Jun 30, 2023 | 240.00 Mn |
| Mar 31, 2023 | 234.00 Mn |
| Dec 31, 2022 | 210.00 Mn |
| Sep 30, 2022 | 175.00 Mn |
| Jun 30, 2022 | 228.00 Mn |
| Mar 31, 2022 | 225.00 Mn |
| Dec 31, 2021 | 244.00 Mn |
| Sep 30, 2021 | 222.00 Mn |
Teva Pharmaceutical Industries Research & Development 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=research-and-development&ticker=TEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();