Teva Pharmaceutical Industries (TEVA) Buildings (2009 - 2025)
Teva Pharmaceutical Industries (TEVA) recorded Buildings of $2.33 billion in Q4 2025, up 18.2% from $1.97 billion a year earlier.
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Analysis
Teva Pharmaceutical Industries (TEVA) Buildings (2009 - 2025) Analysis & Trends
Starting with Q4 2009, Teva Pharmaceutical Industries' Buildings history includes 27 quarters.
- Annual Buildings has a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- Across earlier years, Buildings came in at $1.97 billion in FY2024 (-20.9%), $2.49 billion in FY2023 (+1.0%), $2.46 billion in FY2022 (-4.1%) and $2.57 billion in FY2021 (-5.6%).
- The Q4 2025 figure is the highest quarterly Buildings since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn |
| 10 | Teva Pharmaceutical Industries | 47.63 Bn | 34.48 Bn | 2.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.33 Bn |
| Dec 31, 2024 | 1.97 Bn |
| Dec 31, 2023 | 2.49 Bn |
| Dec 31, 2022 | 2.46 Bn |
| Dec 31, 2021 | 2.57 Bn |
| Dec 31, 2020 | 2.72 Bn |
| Dec 31, 2019 | 2.84 Bn |
| Sep 30, 2019 | 3.04 Bn |
| Jun 30, 2019 | 3.09 Bn |
| Mar 31, 2019 | 3.12 Bn |
| Dec 31, 2018 | 3.13 Bn |
| Sep 30, 2018 | 3.18 Bn |
| Jun 30, 2018 | 3.18 Bn |
| Mar 31, 2018 | 3.31 Bn |
| Dec 31, 2017 | 3.33 Bn |
| Sep 30, 2017 | 3.39 Bn |
| Jun 30, 2017 | 3.36 Bn |
| Mar 31, 2017 | 3.41 Bn |
| Dec 31, 2016 | 3.33 Bn |
| Sep 30, 2016 | 3.48 Bn |
API Access
Teva Pharmaceutical Industries Buildings 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=buildings&ticker=TEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();