Synlogic (SYBX) Price to Book (2015 - 2026)
Synlogic's (SYBX) Price to Book came in at 0.68 for Q2 2026, down 42.3% from 1.18 a year earlier.
Powered by 
Analysis
Synlogic (SYBX) Price to Book (2015 - 2026) Analysis & Trends
For FY2025, Synlogic's Price to Book stood at 1.10, down 14.0% from FY2024.
- In prior years, Synlogic's Price to Book was 1.28 in FY2024 (+68.1%), 0.76 in FY2023 (+24.4%), 0.61 in FY2022 (-32.5%) and 0.91 in FY2021 (+26.9%).
- The Q2 2026 figure stands as the lowest quarterly Price to Book since Q3 2023.
- On a year-over-year basis, Price to Book increased in three of the last seven quarters, with growth averaging 47.0%.
- The strongest year-over-year quarter for Price to Book in the past five years was Q3 2024, with growth of 336.9%; the weakest was Q2 2022, with a decline of 56.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Synlogic | 12.42 Mn | -48.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.68 |
| Dec 31, 2025 | 1.10 |
| Sep 30, 2025 | 1.89 |
| Jun 30, 2025 | 1.18 |
| Mar 31, 2025 | 1.11 |
| Dec 31, 2024 | 1.28 |
| Sep 30, 2024 | 1.33 |
| Jun 30, 2024 | 1.34 |
| Mar 31, 2024 | 2.23 |
| Dec 31, 2023 | 0.76 |
| Sep 30, 2023 | 0.30 |
| Jun 30, 2023 | 0.54 |
| Mar 31, 2023 | 0.63 |
| Dec 31, 2022 | 0.61 |
| Sep 30, 2022 | 0.67 |
| Jun 30, 2022 | 0.69 |
| Mar 31, 2022 | 1.27 |
| Dec 31, 2021 | 0.91 |
| Sep 30, 2021 | 1.04 |
| Jun 30, 2021 | 1.59 |
API Access
Synlogic 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=SYBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "SYBX", "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=SYBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();