BioCardia (BCDA) Total Liabilities (2010 - 2026)
BioCardia's Total Liabilities came in at $2.06 million for Q2 2026, down 48.3% from $3.98 million a year earlier and down 26.0% from the prior quarter.
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Analysis
BioCardia (BCDA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, BioCardia's Total Liabilities was $2.52 million, down 12.8% from FY2024.
- Total Liabilities has declined in each of the last four years, with a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $2.89 million in FY2024 (-37.1%), $4.59 million in FY2023 (-6.3%), $4.9 million in FY2022 (-8.3%) and $5.34 million in FY2021 (+25.8%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2018.
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with an average decline of 23.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2022 (growth of 29.7%), and the weakest in Q2 2026 (a decline of 48.3%).
- Business Quant data shows BCDA's Total Liabilities at $2.78 million (Q1 2026), $2.52 million (Q4 2025) and $3.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | BioCardia | 12.46 Mn | -407,934.31 | - | 2.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.06 Mn |
| Mar 31, 2026 | 2.78 Mn |
| Dec 31, 2025 | 2.52 Mn |
| Sep 30, 2025 | 3.52 Mn |
| Jun 30, 2025 | 3.98 Mn |
| Mar 31, 2025 | 3.69 Mn |
| Dec 31, 2024 | 2.89 Mn |
| Sep 30, 2024 | 3.51 Mn |
| Jun 30, 2024 | 4.85 Mn |
| Mar 31, 2024 | 4.95 Mn |
| Dec 31, 2023 | 4.59 Mn |
| Sep 30, 2023 | 4.41 Mn |
| Jun 30, 2023 | 4.75 Mn |
| Mar 31, 2023 | 5.23 Mn |
| Dec 31, 2022 | 4.90 Mn |
| Sep 30, 2022 | 5.08 Mn |
| Jun 30, 2022 | 4.53 Mn |
| Mar 31, 2022 | 5.47 Mn |
| Dec 31, 2021 | 5.34 Mn |
| Sep 30, 2021 | 3.92 Mn |
API Access
BioCardia Total Liabilities 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=total-liabilities&ticker=BCDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BCDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();