Artiva Biotherapeutics (ARTV) Other Accumulated Expenses (2023 - 2026)
Artiva Biotherapeutics (ARTV) recorded Other Accumulated Expenses of $2.77 million in Q2 2026, up 177.6% from $997,000 a year earlier and up 145.4% from the prior quarter.
Artiva Biotherapeutics (ARTV) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Artiva Biotherapeutics reported Other Accumulated Expenses of $1.02 million, down 30.4% from FY2024.
- Across earlier years, Other Accumulated Expenses came in at $1.47 million in FY2024 (-48.5%) and $2.86 million in FY2023.
- The Q2 2026 figure is the highest quarterly Other Accumulated Expenses since Q4 2023.
- On a year-over-year basis, Other Accumulated Expenses rose in two of the last five quarters, with growth averaging 10.3%.
- Per Business Quant, the preceding three quarters came in at $1.13 million (Q1 2026), $1.02 million (Q4 2025) and $895,000 (Q3 2025).
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 | Artiva Biotherapeutics | 269.19 Mn | 269.19 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.77 Mn |
| Mar 31, 2026 | 1.13 Mn |
| Dec 31, 2025 | 1.02 Mn |
| Sep 30, 2025 | 895,000.00 |
| Jun 30, 2025 | 997,000.00 |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 1.47 Mn |
| Sep 30, 2024 | 2.22 Mn |
| Dec 31, 2023 | 2.86 Mn |
Artiva Biotherapeutics Other Accumulated Expenses 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=other-accumulated-expenses&ticker=ARTV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ARTV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=ARTV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();