Kyverna Therapeutics (KYTX) Other Accumulated Expenses (2023 - 2026)
Kyverna Therapeutics (KYTX) recorded Other Accumulated Expenses of $4 million in Q2 2026, up 224.5% from $1.23 million a year earlier and up 32.3% from the prior quarter.
Kyverna Therapeutics (KYTX) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Kyverna Therapeutics reported Other Accumulated Expenses of $2.17 million, down 25.2% from FY2024.
- Across earlier years, Other Accumulated Expenses came in at $2.9 million in FY2024 (+62.3%) and $1.79 million in FY2023.
- The Q2 2026 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Other Accumulated Expenses rose in three of the last four quarters, with growth averaging 83.4%.
- Per Business Quant, the preceding three quarters came in at $3.02 million (Q1 2026), $2.17 million (Q4 2025) and $2.04 million (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 | Kyverna Therapeutics | 382.97 Mn | 382.97 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.00 Mn |
| Mar 31, 2026 | 3.02 Mn |
| Dec 31, 2025 | 2.17 Mn |
| Sep 30, 2025 | 2.04 Mn |
| Jun 30, 2025 | 1.23 Mn |
| Mar 31, 2025 | 1.76 Mn |
| Dec 31, 2024 | 2.90 Mn |
| Dec 31, 2023 | 1.79 Mn |
Kyverna Therapeutics 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=KYTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "KYTX", "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=KYTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();