Pyxis Oncology (PYXS) Price to Book (2021 - 2026)
Pyxis Oncology's Price to Book came in at 16.69 for Q2 2026, compared with 0.78 a year earlier.
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Analysis
Pyxis Oncology (PYXS) Price to Book (2021 - 2026) Analysis & Trends
For FY2025, Pyxis Oncology's Price to Book was 1.35, up 74.2% from FY2024.
- Price to Book has increased in each of the last three years.
- Going back by year, Price to Book was 0.77 in FY2024 (+20.9%), 0.64 in FY2023 (+120.0%), 0.29 in FY2022 (-18.3%) and 0.36 in FY2021.
- The Q2 2026 figure represents the highest quarterly Price to Book in data going back to Q4 2021.
- Year-over-year, Price to Book increased in four of the last six quarters, with growth averaging 28.2%.
- The fastest year-over-year change in Price to Book over five years came in Q3 2024 (growth of 122.2%), and the weakest in Q1 2025 (a decline of 56.9%).
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 | Pyxis Oncology | 109.11 Mn | -155.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.69 |
| Dec 31, 2025 | 1.35 |
| Sep 30, 2025 | 2.01 |
| Jun 30, 2025 | 0.78 |
| Mar 31, 2025 | 0.59 |
| Dec 31, 2024 | 0.77 |
| Sep 30, 2024 | 1.42 |
| Jun 30, 2024 | 1.15 |
| Mar 31, 2024 | 1.36 |
| Dec 31, 2023 | 0.64 |
| Sep 30, 2023 | 0.64 |
| Jun 30, 2023 | 0.69 |
| Mar 31, 2023 | 0.97 |
| Dec 31, 2022 | 0.29 |
| Sep 30, 2022 | 0.34 |
| Jun 30, 2022 | 0.36 |
| Mar 31, 2022 | 0.56 |
| Dec 31, 2021 | 0.36 |
API Access
Pyxis Oncology 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=PYXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PYXS", "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=PYXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();