BioCardia (BCDA) Depreciation & Amortization (CF) (2010 - 2026)
BioCardia (BCDA) recorded Depreciation & Amortization (CF) of $3,000 in Q2 2026, down 40.0% from $5,000 a year earlier and unchanged from the prior quarter.
BioCardia (BCDA) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, BioCardia's Depreciation & Amortization (CF) came in at $13,000 as of Jun 30, 2026, down 72.9% year-over-year; for FY2025, it was $24,000, down 64.2% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of -18.8% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $67,000 in FY2024 (-20.2%), $84,000 in FY2023 (+2.4%), $82,000 in FY2022 (+36.7%) and $60,000 in FY2021 (-11.8%).
- Quarterly Depreciation & Amortization (CF) has ranged from $3,000 in Q4 2025 to $29,000 in Q3 2022 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) has declined for 12 consecutive quarters, with an average decline of 53.3% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 93.3% in Q3 2022, against a decline of 80.0% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3,000 (Q1 2026), $3,000 (Q4 2025) and $4,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | BioCardia | 12.21 Mn | -649,799.44 | - | 3,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,000.00 |
| Mar 31, 2026 | 3,000.00 |
| Dec 31, 2025 | 3,000.00 |
| Sep 30, 2025 | 4,000.00 |
| Jun 30, 2025 | 5,000.00 |
| Mar 31, 2025 | 12,000.00 |
| Dec 31, 2024 | 15,000.00 |
| Sep 30, 2024 | 16,000.00 |
| Jun 30, 2024 | 17,000.00 |
| Mar 31, 2024 | 19,000.00 |
| Dec 31, 2023 | 20,000.00 |
| Sep 30, 2023 | 21,000.00 |
| Jun 30, 2023 | 21,000.00 |
| Mar 31, 2023 | 22,000.00 |
| Dec 31, 2022 | 21,000.00 |
| Sep 30, 2022 | 29,000.00 |
| Jun 30, 2022 | 16,000.00 |
| Mar 31, 2022 | 16,000.00 |
| Dec 31, 2021 | 15,000.00 |
| Sep 30, 2021 | 15,000.00 |
BioCardia Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=BCDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=BCDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();