BioCardia (BCDA) EPS (Diluted) (2010 - 2026)
BioCardia (BCDA) recorded EPS (Diluted) of -$0.15 in Q2 2026, compared with -$0.40 a year earlier.
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Analysis
BioCardia (BCDA) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a TTM basis, BioCardia's EPS (Diluted) came in at -$0.68 as of Jun 30, 2026; for FY2025, it came in at -$1.63.
- Across earlier years, EPS (Diluted) came in at -$55.84 in FY2024, -$81.31 in FY2023, -$83.67 in FY2022 and -$88.70 in FY2021.
- The Q2 2026 figure is the highest quarterly EPS (Diluted) since Q4 2012.
- Per Business Quant, the preceding three quarters came in at -$0.21 (Q1 2026), -$0.39 (Q4 2025) and -$0.29 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 2.27 |
| 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 | 1.67 |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 1.85 |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 4.37 |
| 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 | 4.31 |
| 10 | BioCardia | 12.46 Mn | -407,934.31 | - | -0.15 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.15 |
| Mar 31, 2026 | -0.21 |
| Dec 31, 2025 | -0.39 |
| Sep 30, 2025 | -0.29 |
| Jun 30, 2025 | -0.40 |
| Mar 31, 2025 | -0.59 |
| Dec 31, 2024 | -16.13 |
| Sep 30, 2024 | -12.21 |
| Jun 30, 2024 | -11.57 |
| Mar 31, 2024 | -15.93 |
| Dec 31, 2023 | -14.56 |
| Sep 30, 2023 | -18.09 |
| Jun 30, 2023 | -24.06 |
| Mar 31, 2023 | -24.60 |
| Dec 31, 2022 | -21.28 |
| Sep 30, 2022 | -21.48 |
| Jun 30, 2022 | -17.55 |
| Mar 31, 2022 | -23.36 |
| Dec 31, 2021 | -24.32 |
| Sep 30, 2021 | -19.02 |
API Access
BioCardia EPS (Diluted) 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-diluted&ticker=BCDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=BCDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();