Kyverna Therapeutics, Inc. (KYTX) Operating Expenses (2023 - 2026)
Kyverna Therapeutics' Operating Expenses was $39.56 million in Q2 2026, down 10.9% from $44.41 million a year earlier and down 4.4% from the prior quarter.
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Kyverna Therapeutics, Inc. (KYTX) Operating Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kyverna Therapeutics' Operating Expenses was $158.93 million through Jun 30, 2026, down 7.4% year-over-year; for FY2025, it was $169.83 million, up 19.1% from FY2024.
- In earlier years, Operating Expenses was $142.6 million in FY2024 (+128.5%) and $62.41 million in FY2023.
- Quarterly Operating Expenses has moved between $11.45 million (Q1 2023) and $47.41 million (Q1 2025) over five years.
- Compared with a year earlier, Operating Expenses has declined for four straight quarters, with growth averaging 37.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2024 (growth of 156.5%); the worst was Q1 2026 (a decline of 12.7%).
- Per Business Quant data, KYTX's Operating Expenses in the three quarters before Q2 2026 was $41.37 million (Q1 2026), $39.28 million (Q4 2025) and $38.73 million (Q3 2025).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.56 Mn |
| Mar 31, 2026 | 41.37 Mn |
| Dec 31, 2025 | 39.28 Mn |
| Sep 30, 2025 | 38.73 Mn |
| Jun 30, 2025 | 44.41 Mn |
| Mar 31, 2025 | 47.41 Mn |
| Dec 31, 2024 | 41.04 Mn |
| Sep 30, 2024 | 38.77 Mn |
| Jun 30, 2024 | 33.44 Mn |
| Mar 31, 2024 | 29.36 Mn |
| Dec 31, 2023 | 21.38 Mn |
| Sep 30, 2023 | 16.28 Mn |
| Jun 30, 2023 | 13.30 Mn |
| Mar 31, 2023 | 11.45 Mn |
API Access
Kyverna Therapeutics, Inc. Operating 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=operating-expenses&ticker=KYTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=KYTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();