BioXcel Therapeutics (BTAIQ) Non-Current Assets (2017 - 2026)
BioXcel Therapeutics' Non-Current Assets came in at $99,000 for Q2 2026, down 81.9% from $546,000 a year earlier and down 15.4% from the prior quarter.
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Analysis
BioXcel Therapeutics (BTAIQ) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, BioXcel Therapeutics' Non-Current Assets was $231,000, down 75.5% from FY2024.
- Non-Current Assets has declined in each of the last three years, with a five-year compound annual growth rate of -39.6% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $944,000 in FY2024 (-39.4%), $1.56 million in FY2023 (-47.8%), $2.99 million in FY2022 (+13.6%) and $2.63 million in FY2021 (-8.5%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q1 2018.
- Year-over-year, Non-Current Assets has declined for 14 consecutive quarters, with an average decline of 60.3% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2021 (growth of 68.3%), and the weakest in Q1 2026 (a decline of 85.2%).
- Business Quant data shows BTAIQ's Non-Current Assets at $117,000 (Q1 2026), $231,000 (Q4 2025) and $389,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 159.77 Bn |
| 10 | BioXcel Therapeutics | 409,050.01 | -94.20 Mn | 160,000.00 | 99,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99,000.00 |
| Mar 31, 2026 | 117,000.00 |
| Dec 31, 2025 | 231,000.00 |
| Sep 30, 2025 | 389,000.00 |
| Jun 30, 2025 | 546,000.00 |
| Mar 31, 2025 | 789,000.00 |
| Dec 31, 2024 | 944,000.00 |
| Sep 30, 2024 | 1.10 Mn |
| Jun 30, 2024 | 1.25 Mn |
| Mar 31, 2024 | 1.41 Mn |
| Dec 31, 2023 | 1.56 Mn |
| Sep 30, 2023 | 1.71 Mn |
| Jun 30, 2023 | 1.86 Mn |
| Mar 31, 2023 | 2.84 Mn |
| Dec 31, 2022 | 2.99 Mn |
| Sep 30, 2022 | 3.16 Mn |
| Jun 30, 2022 | 3.31 Mn |
| Mar 31, 2022 | 3.48 Mn |
| Dec 31, 2021 | 2.63 Mn |
| Sep 30, 2021 | 4.40 Mn |
API Access
BioXcel Therapeutics Non-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=non-current-assets&ticker=BTAIQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();