BioXcel Therapeutics (BTAIQ) Accumulated Expenses (2017 - 2026)
BioXcel Therapeutics (BTAIQ) reported Accumulated Expenses of $3.92 million for Q2 2026, down 23.0% from $5.09 million a year earlier and down 38.6% from the prior quarter.
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Analysis
BioXcel Therapeutics (BTAIQ) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, BioXcel Therapeutics posted Accumulated Expenses of $4.34 million, down 24.7% from FY2024.
- Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -10.3% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $5.76 million in FY2024 (-53.6%), $12.42 million in FY2023 (-33.5%), $18.67 million in FY2022 (+62.5%) and $11.49 million in FY2021 (+53.9%).
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q1 2020.
- Year over year, Accumulated Expenses gained in 1 of the last eight quarters, with an average decline of 36.6%.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2023 (growth of 90.8%); the low point was Q1 2025 (a decline of 70.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.39 million (Q1 2026), $4.34 million (Q4 2025) and $4.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.92 Mn |
| Mar 31, 2026 | 6.39 Mn |
| Dec 31, 2025 | 4.34 Mn |
| Sep 30, 2025 | 4.36 Mn |
| Jun 30, 2025 | 5.09 Mn |
| Mar 31, 2025 | 3.99 Mn |
| Dec 31, 2024 | 5.76 Mn |
| Sep 30, 2024 | 10.19 Mn |
| Jun 30, 2024 | 13.49 Mn |
| Mar 31, 2024 | 13.68 Mn |
| Dec 31, 2023 | 12.42 Mn |
| Sep 30, 2023 | 26.61 Mn |
| Jun 30, 2023 | 19.13 Mn |
| Mar 31, 2023 | 17.07 Mn |
| Dec 31, 2022 | 18.67 Mn |
| Sep 30, 2022 | 13.95 Mn |
| Jun 30, 2022 | 13.37 Mn |
| Mar 31, 2022 | 10.58 Mn |
| Dec 31, 2021 | 11.49 Mn |
| Sep 30, 2021 | 10.72 Mn |
API Access
BioXcel Therapeutics Accumulated 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=accumulated-expenses&ticker=BTAIQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();