BioXcel Therapeutics (BTAIQ) Return on Assets [ROA] (2018 - 2026)
BioXcel Therapeutics (BTAIQ) recorded Return on Assets [ROA] of -194.99% in Q2 2026, up 10.99 percentage points from -205.99% a year earlier but down 25.81 percentage points from the prior quarter.
BioXcel Therapeutics (BTAIQ) Return on Assets [ROA] (2018 - 2026) Analysis & Trends
For FY2025, BioXcel Therapeutics reported Return on Assets [ROA] of -159.46%, down 17.06 percentage points from FY2024.
- Annual Return on Assets [ROA] has declined for four straight years, with a five-year change of -95.35 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at -142.40% in FY2024 (-14.02 pp), -128.38% in FY2023 (-54.12 pp), -74.26% in FY2022 (-27.70 pp) and -46.55% in FY2021 (+17.56 pp).
- Quarterly Return on Assets [ROA] has ranged from -206.08% in Q4 2023 to -37.57% in Q3 2021 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has increased for three consecutive quarters, with an average year-over-year change of +5.20 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 34.91 percentage points in Q4 2025, against a drop of 132.71 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -169.18% (Q1 2026), -147.99% (Q4 2025) and -187.53% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 20.64% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 10.47% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.65% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 28.37% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.10% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -6.13% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 2.14% |
| 10 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 | -194.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -194.99% |
| Mar 31, 2026 | -169.18% |
| Dec 31, 2025 | -147.99% |
| Sep 30, 2025 | -187.53% |
| Jun 30, 2025 | -205.99% |
| Mar 31, 2025 | -173.62% |
| Dec 31, 2024 | -182.90% |
| Sep 30, 2024 | -153.91% |
| Jun 30, 2024 | -162.42% |
| Mar 31, 2024 | -197.05% |
| Dec 31, 2023 | -206.08% |
| Sep 30, 2023 | -175.78% |
| Jun 30, 2023 | -126.67% |
| Mar 31, 2023 | -96.60% |
| Dec 31, 2022 | -73.37% |
| Sep 30, 2022 | -55.63% |
| Jun 30, 2022 | -53.16% |
| Mar 31, 2022 | -49.74% |
| Dec 31, 2021 | -42.71% |
| Sep 30, 2021 | -37.57% |
BioXcel Therapeutics Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();