BioXcel Therapeutics (BTAIQ) Accumulated Depreciation (2017 - 2026)
BioXcel Therapeutics' Accumulated Depreciation came in at $1.88 million for Q2 2026, up 13.6% from $1.65 million a year earlier and up 1.0% from the prior quarter.
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Analysis
BioXcel Therapeutics (BTAIQ) Accumulated Depreciation (2017 - 2026) Analysis & Trends
At the end of FY2025, BioXcel Therapeutics' Accumulated Depreciation was $1.8 million, up 20.0% from FY2024.
- Accumulated Depreciation has increased in each of the last seven years, with a five-year compound annual growth rate of 37.9% (FY2020 to FY2025).
- Going back by year, Accumulated Depreciation was $1.5 million in FY2024 (+25.9%), $1.19 million in FY2023 (+34.8%), $885,000 in FY2022 (+47.0%) and $602,000 in FY2021 (+66.3%).
- The Q2 2026 figure represents the highest quarterly Accumulated Depreciation in data going back to Q4 2017.
- Year-over-year, Accumulated Depreciation has increased for 27 consecutive quarters, with growth averaging 21.7% over the last eight quarters.
- The year-over-year growth in Accumulated Depreciation has ranged between 13.6% (Q2 2026) and 66.3% (Q4 2021) over the last five years.
- Business Quant data shows BTAIQ's Accumulated Depreciation at $1.86 million (Q1 2026), $1.8 million (Q4 2025) and $1.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | BioXcel Therapeutics | 1.57 Mn | 1.57 Mn | 160,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.88 Mn |
| Mar 31, 2026 | 1.86 Mn |
| Dec 31, 2025 | 1.80 Mn |
| Sep 30, 2025 | 1.73 Mn |
| Jun 30, 2025 | 1.65 Mn |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.43 Mn |
| Jun 30, 2024 | 1.35 Mn |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 1.19 Mn |
| Sep 30, 2023 | 1.12 Mn |
| Jun 30, 2023 | 1.04 Mn |
| Mar 31, 2023 | 965,000.00 |
| Dec 31, 2022 | 885,000.00 |
| Sep 30, 2022 | 848,000.00 |
| Jun 30, 2022 | 763,000.00 |
| Mar 31, 2022 | 679,000.00 |
| Dec 31, 2021 | 602,000.00 |
| Sep 30, 2021 | 526,000.00 |
API Access
BioXcel Therapeutics Accumulated Depreciation 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=accumulated-depreciation&ticker=BTAIQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=BTAIQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();