Femasys (FEMY) Assets (2020 - 2026)
Femasys (FEMY) recorded Assets of $12.29 million in Q2 2026, down 10.8% from $13.78 million a year earlier and down 25.5% from the prior quarter.
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Analysis
Femasys (FEMY) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Femasys reported Assets of $20.72 million, up 66.5% from FY2024.
- Annual Assets has a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- Across earlier years, Assets came in at $12.45 million in FY2024 (-55.2%), $27.76 million in FY2023 (+64.3%), $16.9 million in FY2022 (-40.9%) and $28.58 million in FY2021 (+275.7%).
- The Q2 2026 figure is the lowest quarterly Assets since Q4 2020.
- On a year-over-year basis, Assets rose in four of the last eight quarters, with an average decline of 5.4%.
- Peak year-over-year performance for Assets in the last five years was growth of 275.7% in Q4 2021, against a decline of 55.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.5 million (Q1 2026), $20.72 million (Q4 2025) and $16.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 13.87 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 50.73 Bn |
| 10 | Femasys | 6.32 Mn | -14.34 Mn | 189,391.00 | 12.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.29 Mn |
| Mar 31, 2026 | 16.50 Mn |
| Dec 31, 2025 | 20.72 Mn |
| Sep 30, 2025 | 16.29 Mn |
| Jun 30, 2025 | 13.78 Mn |
| Mar 31, 2025 | 13.28 Mn |
| Dec 31, 2024 | 12.45 Mn |
| Sep 30, 2024 | 15.59 Mn |
| Jun 30, 2024 | 20.28 Mn |
| Mar 31, 2024 | 24.37 Mn |
| Dec 31, 2023 | 27.76 Mn |
| Sep 30, 2023 | 14.85 Mn |
| Jun 30, 2023 | 14.31 Mn |
| Mar 31, 2023 | 13.87 Mn |
| Dec 31, 2022 | 16.90 Mn |
| Sep 30, 2022 | 20.03 Mn |
| Jun 30, 2022 | 23.12 Mn |
| Mar 31, 2022 | 25.53 Mn |
| Dec 31, 2021 | 28.58 Mn |
| Sep 30, 2021 | 31.16 Mn |
API Access
Femasys Assets 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=assets&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();