BioCardia (BCDA) Price to Book (2009 - 2026)
BioCardia's (BCDA) Price to Book was 5.55 for Q2 2026.
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Analysis
BioCardia (BCDA) Price to Book (2009 - 2026) Analysis & Trends
For FY2025, Price to Book at BioCardia was 9.31, up 30.3% from FY2024.
- By year, Price to Book came in at 7.15 in FY2024, 8.58 in FY2022 (+171.9%) and 3.15 in FY2021 (+72.8%).
- Five-year quarterly Price to Book spans a low of 3.08 in Q3 2025 and a high of 35.25 in Q2 2023.
- The high point for year-over-year Price to Book in five years was Q2 2023 (growth of 821.9%); the low point was Q3 2021 (a decline of 42.4%).
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 | BioCardia | 11.25 Mn | -1.62 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.55 |
| Dec 31, 2025 | 9.31 |
| Sep 30, 2025 | 3.08 |
| Dec 31, 2024 | 7.15 |
| Sep 30, 2024 | 3.20 |
| Jun 30, 2023 | 35.25 |
| Mar 31, 2023 | 20.73 |
| Dec 31, 2022 | 8.58 |
| Sep 30, 2022 | 8.45 |
| Jun 30, 2022 | 3.82 |
| Mar 31, 2022 | 4.74 |
| Dec 31, 2021 | 3.15 |
| Sep 30, 2021 | 3.95 |
| Jun 30, 2021 | 4.27 |
| Mar 31, 2021 | 3.93 |
| Dec 31, 2020 | 1.83 |
| Sep 30, 2020 | 6.86 |
| Jun 30, 2020 | 2.54 |
| Dec 31, 2019 | 8.76 |
| Sep 30, 2019 | 4.49 |
API Access
BioCardia 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=BCDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "BCDA", "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=BCDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();