BioXcel Therapeutics (BTAIQ) Research & Development (2017 - 2026)
BioXcel Therapeutics' Research & Development came in at $3.16 million for Q2 2026, down 69.1% from $10.26 million a year earlier but up 7.1% from the prior quarter.
BioXcel Therapeutics (BTAIQ) Research & Development (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BioXcel Therapeutics reported Research & Development of $21.56 million, down 16.5% year-over-year; for FY2025, it came in at $30.25 million, down 0.6% from FY2024.
- Research & Development has declined in each of the last three years, with a five-year compound annual growth rate of -12.2% (FY2020 to FY2025).
- Going back by year, Research & Development was $30.44 million in FY2024 (-63.9%), $84.33 million in FY2023 (-7.6%), $91.24 million in FY2022 (+73.1%) and $52.71 million in FY2021 (-9.1%).
- The five-year range for quarterly Research & Development is $2.96 million (Q1 2026) to $32.46 million (Q4 2022).
- Year-over-year, Research & Development increased in three of the last eight quarters, with an average decline of 20.8%.
- The fastest year-over-year change in Research & Development over five years came in Q4 2022 (growth of 159.2%), and the weakest in Q3 2024 (a decline of 74.0%).
- Business Quant data shows BTAIQ's Research & Development at $2.96 million (Q1 2026), $6.7 million (Q4 2025) and $8.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 993.80 Mn |
| 10 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 | 3.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.16 Mn |
| Mar 31, 2026 | 2.96 Mn |
| Dec 31, 2025 | 6.70 Mn |
| Sep 30, 2025 | 8.74 Mn |
| Jun 30, 2025 | 10.26 Mn |
| Mar 31, 2025 | 4.55 Mn |
| Dec 31, 2024 | 5.90 Mn |
| Sep 30, 2024 | 5.10 Mn |
| Jun 30, 2024 | 8.03 Mn |
| Mar 31, 2024 | 11.40 Mn |
| Dec 31, 2023 | 9.93 Mn |
| Sep 30, 2023 | 19.62 Mn |
| Jun 30, 2023 | 26.97 Mn |
| Mar 31, 2023 | 27.80 Mn |
| Dec 31, 2022 | 32.46 Mn |
| Sep 30, 2022 | 22.06 Mn |
| Jun 30, 2022 | 17.91 Mn |
| Mar 31, 2022 | 18.56 Mn |
| Dec 31, 2021 | 12.53 Mn |
| Sep 30, 2021 | 11.93 Mn |
BioXcel Therapeutics 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=BTAIQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();