Q32 Bio (QTTB) Price to Book (2018 - 2026)
Q32 Bio's (QTTB) Price to Book was 2.86 for Q2 2026, up 40.8% from the prior quarter.
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Analysis
Q32 Bio (QTTB) Price to Book (2018 - 2026) Analysis & Trends
For FY2025, Price to Book at Q32 Bio was 1.02, down 82.0% from FY2024.
- By year, Price to Book came in at 5.65 in FY2024 and 1.23 in FY2021 (-57.7%).
- The Q2 2026 figure ranks as the highest quarterly Price to Book since Q4 2024.
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 | Q32 Bio | 195.35 Mn | -78.94 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.86 |
| Mar 31, 2026 | 2.03 |
| Dec 31, 2025 | 1.02 |
| Dec 31, 2024 | 5.65 |
| Sep 30, 2024 | 29.61 |
| Jun 30, 2024 | 6.43 |
| Mar 31, 2024 | 0.35 |
| Sep 30, 2022 | 0.44 |
| Jun 30, 2022 | 0.47 |
| Mar 31, 2022 | 0.66 |
| Dec 31, 2021 | 1.23 |
| Sep 30, 2021 | 2.27 |
| Jun 30, 2021 | 1.85 |
| Mar 31, 2021 | 2.37 |
| Dec 31, 2020 | 2.90 |
| Sep 30, 2020 | 2.85 |
| Jun 30, 2020 | 3.53 |
| Mar 31, 2020 | 3.10 |
| Dec 31, 2019 | 3.61 |
| Sep 30, 2019 | 3.09 |
API Access
Q32 Bio 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=QTTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "QTTB", "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=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();