BioXcel Therapeutics (BTAIQ) Current Assets (2017 - 2026)
BioXcel Therapeutics (BTAIQ) recorded Current Assets of $28.7 million in Q2 2026, up 13.7% from $25.24 million a year earlier but down 15.4% from the prior quarter.
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Analysis
BioXcel Therapeutics (BTAIQ) Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, BioXcel Therapeutics reported Current Assets of $44.69 million, up 19.5% from FY2024.
- Annual Current Assets has a five-year compound annual growth rate of -27.1% (FY2020 to FY2025).
- Across earlier years, Current Assets came in at $37.39 million in FY2024 (-48.2%), $72.14 million in FY2023 (-64.4%), $202.87 million in FY2022 (-14.3%) and $236.81 million in FY2021 (+9.1%).
- Quarterly Current Assets has ranged from $25.24 million in Q2 2025 to $256.93 million in Q3 2021 over the past five years.
- On a year-over-year basis, Current Assets rose in two of the last eight quarters, with an average decline of 24.7%.
- Peak year-over-year performance for Current Assets in the last five years was growth of 19.5% in Q4 2025, against a decline of 64.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $33.91 million (Q1 2026), $44.69 million (Q4 2025) and $44.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 59.77 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 33.67 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 36.68 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 27.35 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 27.97 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 34.96 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 13.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 41.36 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 12.54 Bn |
| 10 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 | 28.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.70 Mn |
| Mar 31, 2026 | 33.91 Mn |
| Dec 31, 2025 | 44.69 Mn |
| Sep 30, 2025 | 44.40 Mn |
| Jun 30, 2025 | 25.24 Mn |
| Mar 31, 2025 | 37.78 Mn |
| Dec 31, 2024 | 37.39 Mn |
| Sep 30, 2024 | 47.79 Mn |
| Jun 30, 2024 | 64.18 Mn |
| Mar 31, 2024 | 80.92 Mn |
| Dec 31, 2023 | 72.14 Mn |
| Sep 30, 2023 | 98.74 Mn |
| Jun 30, 2023 | 138.24 Mn |
| Mar 31, 2023 | 177.27 Mn |
| Dec 31, 2022 | 202.87 Mn |
| Sep 30, 2022 | 241.66 Mn |
| Jun 30, 2022 | 244.92 Mn |
| Mar 31, 2022 | 207.56 Mn |
| Dec 31, 2021 | 236.81 Mn |
| Sep 30, 2021 | 256.93 Mn |
API Access
BioXcel Therapeutics Current 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=current-assets&ticker=BTAIQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();