Femasys (FEMY) Enterprise Value (2021 - 2026)
Femasys (FEMY) posted Enterprise Value of $11.2 million for Q2 2026, down 60.4% from $28.25 million a year earlier and down 44.0% from the prior quarter.
Powered by 
Analysis
Femasys (FEMY) Enterprise Value (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Femasys was -$8.02 million; for FY2025, it came in at $13.51 million, down 39.2% from FY2024.
- Annual Enterprise Value shows a four-year compound annual growth rate of 76.5% (FY2021 to FY2025).
- In prior years, Femasys' Enterprise Value was $22.24 million in FY2024, -$6.72 million in FY2023, -$2.28 million in FY2022 and $1.39 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Enterprise Value since Q4 2023.
- On a year-over-year basis, Enterprise Value has declined in each of the last four quarters, with growth averaging 0.5% over the last seven quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q1 2024, with growth of 503.5%; the weakest was Q2 2026, with a decline of 60.4%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $19.98 million (Q1 2026), $13.51 million (Q4 2025) and $12.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Femasys | 6.32 Mn | -14.34 Mn | 189,391.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.20 Mn |
| Mar 31, 2026 | 19.98 Mn |
| Dec 31, 2025 | 13.51 Mn |
| Sep 30, 2025 | 12.08 Mn |
| Jun 30, 2025 | 28.25 Mn |
| Mar 31, 2025 | 30.04 Mn |
| Dec 31, 2024 | 22.24 Mn |
| Sep 30, 2024 | 17.07 Mn |
| Jun 30, 2024 | 11.82 Mn |
| Mar 31, 2024 | 16.42 Mn |
| Dec 31, 2023 | -6.72 Mn |
| Sep 30, 2023 | 38.97 Mn |
| Jun 30, 2023 | -3.02 Mn |
| Mar 31, 2023 | 2.72 Mn |
| Dec 31, 2022 | -2.28 Mn |
| Sep 30, 2022 | -2.66 Mn |
| Jun 30, 2022 | 9.35 Mn |
| Mar 31, 2022 | 4.91 Mn |
| Dec 31, 2021 | 1.39 Mn |
| Sep 30, 2021 | 54.02 Mn |
API Access
Femasys Enterprise Value 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=enterprise-value&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();