BioXcel Therapeutics (BTAIQ) Cash & Equivalents (2017 - 2026)
BioXcel Therapeutics (BTAIQ) reported Cash & Equivalents of $12.84 million for Q2 2026, down 26.3% from $17.44 million a year earlier and down 25.3% from the prior quarter.
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Analysis
BioXcel Therapeutics (BTAIQ) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, BioXcel Therapeutics posted Cash & Equivalents of $28.42 million, down 4.8% from FY2024.
- Cash & Equivalents has declined for four consecutive years, with a five-year compound annual growth rate of -33.2% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $29.85 million in FY2024 (-54.2%), $65.22 million in FY2023 (-66.3%), $193.73 million in FY2022 (-16.8%) and $232.97 million in FY2021 (+9.3%).
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q4 2017.
- Year over year, Cash & Equivalents has now declined in each of the last 17 quarters, with an average decline of 40.3% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 9.3%); the low point was Q2 2025 (a decline of 69.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.18 million (Q1 2026), $28.42 million (Q4 2025) and $36.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 | 12.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.84 Mn |
| Mar 31, 2026 | 17.18 Mn |
| Dec 31, 2025 | 28.42 Mn |
| Sep 30, 2025 | 36.18 Mn |
| Jun 30, 2025 | 17.44 Mn |
| Mar 31, 2025 | 31.01 Mn |
| Dec 31, 2024 | 29.85 Mn |
| Sep 30, 2024 | 40.39 Mn |
| Jun 30, 2024 | 56.27 Mn |
| Mar 31, 2024 | 74.14 Mn |
| Dec 31, 2023 | 65.22 Mn |
| Sep 30, 2023 | 89.96 Mn |
| Jun 30, 2023 | 127.55 Mn |
| Mar 31, 2023 | 165.52 Mn |
| Dec 31, 2022 | 193.73 Mn |
| Sep 30, 2022 | 232.31 Mn |
| Jun 30, 2022 | 233.45 Mn |
| Mar 31, 2022 | 200.44 Mn |
| Dec 31, 2021 | 232.97 Mn |
| Sep 30, 2021 | 252.91 Mn |
API Access
BioXcel Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=BTAIQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();