Femasys (FEMY) Depreciation and Depletion (2020 - 2026)
Femasys (FEMY) recorded Depreciation and Depletion of $63,806 in 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 and Depletion (2020 - 2026) Analysis & Trends
On a TTM basis, Femasys' Depreciation and Depletion came in at $269,894 as of Jun 30, 2026, down 9.9% year-over-year; for FY2025, it was $295,859, up 6.7% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $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 is the lowest quarterly Depreciation and Depletion since Q2 2024.
- On a year-over-year basis, Depreciation and Depletion has declined for three consecutive quarters, with an average decline of 8.3% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 23.2% in Q2 2025, against a decline of 52.4% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $65,578 (Q1 2026), $68,488 (Q4 2025) and $72,022 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 317.00 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 | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 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 and Depletion 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-depletion&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();