Dare Bioscience (DARE) Depreciation & Amortization (CF) (2013 - 2025)
Dare Bioscience (DARE) posted Depreciation & Amortization (CF) of $534,395 for Q4 2025, compared with $6,368 a year earlier and up 13.6% from the prior quarter.
Dare Bioscience (DARE) Depreciation & Amortization (CF) (2013 - 2025) Analysis & Trends
For FY2025, Dare Bioscience's Depreciation & Amortization (CF) came in at $1.63 million.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 106.8% (FY2020 to FY2025).
- In prior years, Dare Bioscience's Depreciation & Amortization (CF) was $42,325 in FY2024 (+10.3%), $38,363 in FY2023 (+58.5%), $24,202 in FY2022 (-8.4%) and $26,413 in FY2021 (-38.9%).
- The Q4 2025 figure stands as the highest quarterly Depreciation & Amortization (CF) in data going back to Q1 2013.
- On a year-over-year basis, Depreciation & Amortization (CF) increased in three of the last four quarters, with growth averaging 10.7%.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q3 2023, with growth of 205.2%; the weakest was Q3 2022, with a decline of 52.2%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $470,284 (Q3 2025), $471,697 (Q2 2025) and $158,110 (Q1 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 | Dare Bioscience | 12.89 Mn | -52.57 Mn | -132,343.00 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 534,395.00 |
| Sep 30, 2025 | 470,284.00 |
| Jun 30, 2025 | 471,697.00 |
| Mar 31, 2025 | 158,110.00 |
| Dec 31, 2024 | 6,368.00 |
| Sep 30, 2024 | 9,742.00 |
| Jun 30, 2024 | 15,437.00 |
| Mar 31, 2024 | 10,778.00 |
| Dec 31, 2023 | 9,980.00 |
| Sep 30, 2023 | 9,260.00 |
| Jun 30, 2023 | 9,615.00 |
| Mar 31, 2023 | 9,508.00 |
| Dec 31, 2022 | 10,622.00 |
| Sep 30, 2022 | 3,034.00 |
| Jun 30, 2022 | 5,319.00 |
| Mar 31, 2022 | 5,227.00 |
| Dec 31, 2021 | 7,047.00 |
| Sep 30, 2021 | 6,343.00 |
| Jun 30, 2021 | 6,613.00 |
| Mar 31, 2021 | 6,410.00 |
Dare Bioscience 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=DARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "DARE", "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=DARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();