Kyverna Therapeutics (KYTX) Price to Book (2024 - 2026)
Kyverna Therapeutics' (KYTX) Price to Book was 3.31 for Q2 2026, up 360.2% from 0.72 a year earlier and up 24.1% from the prior quarter.
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Analysis
Kyverna Therapeutics (KYTX) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, Price to Book at Kyverna Therapeutics was 1.79, up 195.4% from FY2024.
- By year, Price to Book came in at 0.61 in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Price to Book in data going back to Q1 2024.
- Year over year, Price to Book has now increased in each of the last four quarters, with growth averaging 203.0% over the last six quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 2.67 (Q1 2026), 1.79 (Q4 2025) and 1.73 (Q3 2025).
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 | Kyverna Therapeutics | 382.97 Mn | 382.97 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.31 |
| Mar 31, 2026 | 2.67 |
| Dec 31, 2025 | 1.79 |
| Sep 30, 2025 | 1.73 |
| Jun 30, 2025 | 0.72 |
| Mar 31, 2025 | 0.37 |
| Dec 31, 2024 | 0.61 |
| Sep 30, 2024 | 0.70 |
| Jun 30, 2024 | 0.97 |
| Mar 31, 2024 | 1.63 |
API Access
Kyverna Therapeutics Price to Book 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=price-to-book&ticker=KYTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=KYTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();