Crescent Biopharma (CBIO) Price to Sales (2014 - 2026)
Crescent Biopharma's (CBIO) Price to Sales stood at 480.86 in Q2 2026, down 1.4% from the prior quarter.
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Analysis
Crescent Biopharma (CBIO) Price to Sales (2014 - 2026) Analysis & Trends
For FY2025, Crescent Biopharma's Price to Sales came in at 11.39.
- Across earlier years, Price to Sales came in at 1519692.36 in FY2023 (+591.8%), 219686.30 in FY2022 and 6086.17 in FY2021 (+235.6%).
- The Q2 2026 figure is the lowest quarterly Price to Sales in data going back to Q1 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Crescent Biopharma | 395.80 Mn | -311.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 480.86 |
| Mar 31, 2026 | 487.48 |
| Dec 31, 2024 | 21,494.65 |
| Dec 31, 2022 | 177,883.65 |
| Sep 30, 2022 | 16,091.29 |
| Jun 30, 2022 | 17,540.23 |
| Dec 31, 2021 | 6,086.16 |
| Sep 30, 2021 | 8,682.10 |
| Jun 30, 2021 | 5,389.66 |
| Mar 31, 2021 | 6,993.06 |
| Dec 31, 2020 | 1,813.51 |
| Sep 30, 2020 | 1,468.35 |
| Jun 30, 2020 | 1,951.64 |
| Mar 31, 2020 | 1,104.10 |
| Sep 30, 2017 | 2.48 Mn |
| Jun 30, 2017 | 564,264.14 |
| Mar 31, 2017 | 240,441.25 |
| Sep 30, 2016 | 306,085.43 |
| Dec 31, 2015 | 308,034.39 |
| Mar 31, 2015 | 1,052.37 |
API Access
Crescent Biopharma Price to Sales 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-sales&ticker=CBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "CBIO", "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-sales&ticker=CBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();