Traws Pharma (TRAW) Price to Book (2013 - 2026)
Traws Pharma's (TRAW) Price to Book stood at 7.58 in Q2 2026, up 627.2% from 1.04 a year earlier.
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Analysis
Traws Pharma (TRAW) Price to Book (2013 - 2026) Analysis & Trends
For FY2023, Traws Pharma's Price to Book came in at 1.48, up 207.2% from FY2022.
- Across earlier years, Price to Book came in at 0.48 in FY2022 (-48.4%), 0.93 in FY2021 (-93.4%), 14.15 in FY2020 and 0.47 in FY2019 (-70.8%).
- The Q2 2026 figure is the highest quarterly Price to Book since Q4 2020.
- Peak year-over-year performance for Price to Book in the last five years was growth of 627.2% in Q2 2026, against a decline of 93.4% in Q4 2021 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Traws Pharma | 3.36 Mn | -15.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.58 |
| Sep 30, 2025 | 2.90 |
| Jun 30, 2025 | 1.04 |
| Mar 31, 2025 | 2.67 |
| Mar 31, 2024 | 3.54 |
| Dec 31, 2023 | 1.48 |
| Sep 30, 2023 | 1.03 |
| Jun 30, 2023 | 1.31 |
| Mar 31, 2023 | 0.67 |
| Dec 31, 2022 | 0.48 |
| Sep 30, 2022 | 0.55 |
| Jun 30, 2022 | 0.72 |
| Mar 31, 2022 | 0.91 |
| Dec 31, 2021 | 0.93 |
| Sep 30, 2021 | 1.23 |
| Jun 30, 2021 | 3.31 |
| Mar 31, 2021 | 6.37 |
| Dec 31, 2020 | 14.15 |
| Sep 30, 2020 | 4.23 |
| Jun 30, 2020 | 6.35 |
API Access
Traws Pharma 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=TRAW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "TRAW", "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=TRAW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();