BioCardia (BCDA) EPS (Basic) (2016 - 2026)
BioCardia (BCDA) posted EPS (Basic) of -$0.13 for Q2 2026, compared with -$0.40 a year earlier.
Analysis
BioCardia (BCDA) EPS (Basic) (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Basic) at BioCardia was -$0.61; for FY2025, it came in at -$1.23.
- In prior years, BioCardia's EPS (Basic) was -$2.90 in FY2024, -$8.19 in FY2023, -$10.08 in FY2022 and -$11.19 in FY2021.
- The Q2 2026 figure stands as the highest quarterly EPS (Basic) in data going back to Q1 2016.
- According to Business Quant data, EPS (Basic) for the three prior quarters was -$0.21 (Q1 2026), -$0.30 (Q4 2025) and -$0.24 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 2.30 |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 2.04 |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | -0.54 |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 1.68 |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 1.87 |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 4.40 |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -8.44 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -0.04 |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 4.34 |
| 10 | BioCardia | 12.46 Mn | -407,934.31 | - | -0.13 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.13 |
| Mar 31, 2026 | -0.21 |
| Dec 31, 2025 | -0.30 |
| Sep 30, 2025 | -0.24 |
| Jun 30, 2025 | -0.40 |
| Mar 31, 2025 | -0.59 |
| Dec 31, 2024 | -0.84 |
| Sep 30, 2024 | -0.61 |
| Jun 30, 2024 | -0.88 |
| Mar 31, 2024 | -1.35 |
| Dec 31, 2023 | -1.47 |
| Sep 30, 2023 | -1.79 |
| Jun 30, 2023 | -2.52 |
| Mar 31, 2023 | -2.60 |
| Dec 31, 2022 | -2.56 |
| Sep 30, 2022 | -2.57 |
| Jun 30, 2022 | -2.12 |
| Mar 31, 2022 | -2.92 |
| Dec 31, 2021 | -3.07 |
| Sep 30, 2021 | -2.38 |
API Access
BioCardia EPS (Basic) 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=eps-basic&ticker=BCDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=BCDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();