BioXcel Therapeutics (BTAIQ) Total Non-Current Liabilities (2022 - 2026)
BioXcel Therapeutics (BTAIQ) reported Total Non-Current Liabilities of $137.15 million for Q2 2026, up 4.8% from $130.85 million a year earlier and up 3.2% from the prior quarter.
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Analysis
BioXcel Therapeutics (BTAIQ) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, BioXcel Therapeutics posted Total Non-Current Liabilities of $138.59 million, up 11.0% from FY2024.
- Total Non-Current Liabilities has a three-year compound annual growth rate of 3.0% (FY2022 to FY2025).
- By year, Total Non-Current Liabilities came in at $124.81 million in FY2024 (-2.7%), $128.31 million in FY2023 (+1.2%) and $126.74 million in FY2022.
- Five-year quarterly Total Non-Current Liabilities spans a low of $82.02 million in Q2 2022 and a high of $139.03 million in Q3 2023.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 0.9% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2023 (growth of 61.2%); the low point was Q3 2024 (a decline of 6.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $132.85 million (Q1 2026), $138.59 million (Q4 2025) and $130.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 | 137.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.15 Mn |
| Mar 31, 2026 | 132.85 Mn |
| Dec 31, 2025 | 138.59 Mn |
| Sep 30, 2025 | 130.11 Mn |
| Jun 30, 2025 | 130.85 Mn |
| Mar 31, 2025 | 125.46 Mn |
| Dec 31, 2024 | 124.81 Mn |
| Sep 30, 2024 | 130.16 Mn |
| Jun 30, 2024 | 130.55 Mn |
| Mar 31, 2024 | 133.46 Mn |
| Dec 31, 2023 | 128.31 Mn |
| Sep 30, 2023 | 139.03 Mn |
| Jun 30, 2023 | 132.21 Mn |
| Mar 31, 2023 | 124.52 Mn |
| Dec 31, 2022 | 126.74 Mn |
| Sep 30, 2022 | 115.94 Mn |
| Jun 30, 2022 | 82.02 Mn |
API Access
BioXcel Therapeutics Total Non-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-non-current-liabilities&ticker=BTAIQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();