BioXcel Therapeutics (BTAIQ) Total Current Liabilities (2017 - 2026)
BioXcel Therapeutics (BTAIQ) recorded Total Current Liabilities of $137.15 million in Q2 2026, up 310.9% from $33.38 million a year earlier and up 149.4% from the prior quarter.
BioXcel Therapeutics (BTAIQ) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, BioXcel Therapeutics reported Total Current Liabilities of $53.93 million, up 142.5% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $22.23 million in FY2024 (-18.5%), $27.27 million in FY2023 (-17.1%), $32.9 million in FY2022 (+97.4%) and $16.67 million in FY2021 (+40.7%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q4 2017.
- On a year-over-year basis, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 70.8% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 310.9% in Q2 2026, against a decline of 35.1% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $54.99 million (Q1 2026), $53.93 million (Q4 2025) and $37.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 32.65 Bn |
| 10 | BioXcel Therapeutics | 409,050.01 | -94.20 Mn | 160,000.00 | 137.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.15 Mn |
| Mar 31, 2026 | 54.99 Mn |
| Dec 31, 2025 | 53.93 Mn |
| Sep 30, 2025 | 37.80 Mn |
| Jun 30, 2025 | 33.38 Mn |
| Mar 31, 2025 | 25.55 Mn |
| Dec 31, 2024 | 22.23 Mn |
| Sep 30, 2024 | 25.56 Mn |
| Jun 30, 2024 | 27.29 Mn |
| Mar 31, 2024 | 31.48 Mn |
| Dec 31, 2023 | 27.27 Mn |
| Sep 30, 2023 | 39.41 Mn |
| Jun 30, 2023 | 34.74 Mn |
| Mar 31, 2023 | 28.76 Mn |
| Dec 31, 2022 | 32.90 Mn |
| Sep 30, 2022 | 23.38 Mn |
| Jun 30, 2022 | 20.00 Mn |
| Mar 31, 2022 | 16.00 Mn |
| Dec 31, 2021 | 16.67 Mn |
| Sep 30, 2021 | 14.60 Mn |
BioXcel Therapeutics Total Current Liabilities 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=total-current-liabilities&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();