vTv Therapeutics (VTVT) Price to Book (2024 - 2026)
vTv Therapeutics' Price to Book was 5.94 in Q2 2026, down 85.5% from 41.08 a year earlier but up 8.6% from the prior quarter.
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Analysis
vTv Therapeutics (VTVT) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, Price to Book at vTv Therapeutics came in at 5.23, down 6.2% from FY2024.
- In earlier years, Price to Book was 5.57 in FY2024.
- Quarterly Price to Book has moved between 2.67 (Q3 2025) and 41.08 (Q2 2025) over five years.
- Compared with a year earlier, Price to Book has declined for four straight quarters, with growth averaging 116.6% over the last six quarters.
- Per Business Quant data, VTVT's Price to Book in the three quarters before Q2 2026 was 5.47 (Q1 2026), 5.23 (Q4 2025) and 2.67 (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 | vTv Therapeutics | 379.35 Mn | 379.35 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.94 |
| Mar 31, 2026 | 5.47 |
| Dec 31, 2025 | 5.23 |
| Sep 30, 2025 | 2.67 |
| Jun 30, 2025 | 41.08 |
| Mar 31, 2025 | 12.81 |
| Dec 31, 2024 | 5.57 |
| Sep 30, 2024 | 4.13 |
| Jun 30, 2024 | 5.53 |
| Mar 31, 2024 | 3.75 |
API Access
vTv 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=VTVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "VTVT", "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=VTVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();