Femasys (FEMY) Change in Intangibles (2020 - 2025)
Femasys' Change in Intangibles was $56,875 in Q4 2025, compared with $3,821 a year earlier and up 25.0% from the prior quarter.
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Analysis
Femasys (FEMY) Change in Intangibles (2020 - 2025) Analysis & Trends
For FY2025, Change in Intangibles at Femasys came in at $105,091, up 22.1% from FY2024.
- Change in Intangibles shows a five-year compound annual growth rate of 35.1% (FY2020 to FY2025).
- In earlier years, Change in Intangibles was $86,058 in FY2024.
- The Q4 2025 figure marks the highest quarterly Change in Intangibles in data going back to Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Femasys | 6.20 Mn | -14.47 Mn | 189,391.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 56,875.00 |
| Sep 30, 2025 | 45,483.00 |
| Jun 30, 2025 | 2,733.00 |
| Dec 31, 2024 | 3,821.00 |
| Sep 30, 2024 | 32,092.00 |
| Jun 30, 2024 | 24,542.00 |
| Mar 31, 2024 | 25,603.00 |
| Dec 31, 2020 | -19,666.00 |
| Sep 30, 2020 | 20,019.00 |
API Access
Femasys Change in Intangibles 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=change-in-intangibles&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-intangibles", "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=change-in-intangibles&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();