Femasys (FEMY) Depreciation & Amortization (CF) (2020 - 2026)
Femasys' Depreciation & Amortization (CF) came in at $63,806 for Q2 2026, down 17.8% from $77,667 a year earlier and down 2.7% from the prior quarter.
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Analysis
Femasys (FEMY) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Femasys reported Depreciation & Amortization (CF) of $269,894, down 9.9% year-over-year; for FY2025, it was $295,859, up 6.7% from FY2024.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $277,178 in FY2024 (-42.3%), $480,187 in FY2023 (-11.0%), $539,434 in FY2022 (-2.1%) and $551,092 in FY2021 (-1.7%).
- The Q2 2026 figure represents the lowest quarterly Depreciation & Amortization (CF) since Q2 2024.
- Year-over-year, Depreciation & Amortization (CF) has declined for three consecutive quarters, with an average decline of 8.3% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q2 2025 (growth of 23.2%), and the weakest in Q2 2024 (a decline of 52.4%).
- Business Quant data shows FEMY's Depreciation & Amortization (CF) at $65,578 (Q1 2026), $68,488 (Q4 2025) and $72,022 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Femasys | 6.53 Mn | -14.13 Mn | 189,391.00 | 63,806.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63,806.00 |
| Mar 31, 2026 | 65,578.00 |
| Dec 31, 2025 | 68,488.00 |
| Sep 30, 2025 | 72,022.00 |
| Jun 30, 2025 | 77,667.00 |
| Mar 31, 2025 | 77,682.00 |
| Dec 31, 2024 | 74,207.00 |
| Sep 30, 2024 | 69,943.00 |
| Jun 30, 2024 | 63,045.00 |
| Mar 31, 2024 | 69,983.00 |
| Dec 31, 2023 | 91,410.00 |
| Sep 30, 2023 | 124,737.00 |
| Jun 30, 2023 | 132,387.00 |
| Mar 31, 2023 | 131,653.00 |
| Dec 31, 2022 | 132,288.00 |
| Sep 30, 2022 | 134,755.00 |
| Jun 30, 2022 | 135,622.00 |
| Mar 31, 2022 | 136,769.00 |
| Dec 31, 2021 | 133,904.00 |
| Sep 30, 2021 | 135,260.00 |
API Access
Femasys 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=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "FEMY", "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=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();