BioXcel Therapeutics (BTAIQ) Payables (2017 - 2026)
BioXcel Therapeutics (BTAIQ) recorded Payables of $18.78 million in Q2 2026, up 12.5% from $16.69 million a year earlier and up 15.6% from the prior quarter.
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Analysis
BioXcel Therapeutics (BTAIQ) Payables (2017 - 2026) Analysis & Trends
At the end of FY2025, BioXcel Therapeutics reported Payables of $14.7 million, down 8.1% from FY2024.
- Annual Payables has a five-year compound annual growth rate of 29.9% (FY2020 to FY2025).
- Across earlier years, Payables came in at $15.99 million in FY2024 (+17.1%), $13.65 million in FY2023 (+33.5%), $10.23 million in FY2022 (+118.6%) and $4.68 million in FY2021 (+17.6%).
- The Q2 2026 figure is the highest quarterly Payables in data going back to Q4 2017.
- On a year-over-year basis, Payables rose in six of the last eight quarters, with growth averaging 11.4%.
- Peak year-over-year performance for Payables in the last five years was growth of 141.1% in Q2 2022, against a decline of 59.8% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.25 million (Q1 2026), $14.7 million (Q4 2025) and $16.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 20.92 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 5.96 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 7.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 429.50 Mn |
| 10 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 | 18.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.78 Mn |
| Mar 31, 2026 | 16.25 Mn |
| Dec 31, 2025 | 14.70 Mn |
| Sep 30, 2025 | 16.28 Mn |
| Jun 30, 2025 | 16.69 Mn |
| Mar 31, 2025 | 15.45 Mn |
| Dec 31, 2024 | 15.99 Mn |
| Sep 30, 2024 | 14.89 Mn |
| Jun 30, 2024 | 13.26 Mn |
| Mar 31, 2024 | 17.22 Mn |
| Dec 31, 2023 | 13.65 Mn |
| Sep 30, 2023 | 10.67 Mn |
| Jun 30, 2023 | 11.20 Mn |
| Mar 31, 2023 | 7.74 Mn |
| Dec 31, 2022 | 10.23 Mn |
| Sep 30, 2022 | 5.87 Mn |
| Jun 30, 2022 | 6.02 Mn |
| Mar 31, 2022 | 5.07 Mn |
| Dec 31, 2021 | 4.68 Mn |
| Sep 30, 2021 | 3.44 Mn |
API Access
BioXcel Therapeutics Payables 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=payables&ticker=BTAIQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();