BioXcel Therapeutics (BTAIQ) Assets (2017 - 2026)
BioXcel Therapeutics' Assets came in at $28.8 million for Q2 2026, up 11.7% from $25.79 million a year earlier but down 15.4% from the prior quarter.
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Analysis
BioXcel Therapeutics (BTAIQ) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, BioXcel Therapeutics' Assets was $44.92 million, up 17.2% from FY2024.
- Assets carries a five-year compound annual growth rate of -27.2% (FY2020 to FY2025).
- Going back by year, Assets was $38.34 million in FY2024 (-48.0%), $73.7 million in FY2023 (-64.2%), $205.85 million in FY2022 (-14.0%) and $239.44 million in FY2021 (+8.9%).
- The five-year range for quarterly Assets is $25.79 million (Q2 2025) to $261.33 million (Q3 2021).
- Year-over-year, Assets increased in two of the last eight quarters, with an average decline of 25.5%.
- The fastest year-over-year change in Assets over five years came in Q4 2025 (growth of 17.2%), and the weakest in Q4 2023 (a decline of 64.2%).
- Business Quant data shows BTAIQ's Assets at $34.03 million (Q1 2026), $44.92 million (Q4 2025) and $44.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 27.42 Bn |
| 10 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 | 28.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.80 Mn |
| Mar 31, 2026 | 34.03 Mn |
| Dec 31, 2025 | 44.92 Mn |
| Sep 30, 2025 | 44.79 Mn |
| Jun 30, 2025 | 25.79 Mn |
| Mar 31, 2025 | 38.57 Mn |
| Dec 31, 2024 | 38.34 Mn |
| Sep 30, 2024 | 48.89 Mn |
| Jun 30, 2024 | 65.44 Mn |
| Mar 31, 2024 | 82.32 Mn |
| Dec 31, 2023 | 73.70 Mn |
| Sep 30, 2023 | 100.45 Mn |
| Jun 30, 2023 | 140.10 Mn |
| Mar 31, 2023 | 180.10 Mn |
| Dec 31, 2022 | 205.85 Mn |
| Sep 30, 2022 | 244.82 Mn |
| Jun 30, 2022 | 248.24 Mn |
| Mar 31, 2022 | 211.05 Mn |
| Dec 31, 2021 | 239.44 Mn |
| Sep 30, 2021 | 261.33 Mn |
API Access
BioXcel Therapeutics Assets 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=assets&ticker=BTAIQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "BTAIQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();