Femasys (FEMY) Liabilities and Shareholders Equity (2020 - 2026)
Femasys (FEMY) posted Liabilities and Shareholders Equity of $12.29 million for 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) Liabilities and Shareholders Equity (2020 - 2026) Analysis & Trends
At the end of FY2025, Femasys' Liabilities and Shareholders Equity came in at $20.72 million, up 66.5% from FY2024.
- Annual Liabilities and Shareholders Equity shows a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- In prior years, Femasys' Liabilities and Shareholders Equity was $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 stands as the lowest quarterly Liabilities and Shareholders Equity since Q4 2020.
- On a year-over-year basis, Liabilities and Shareholders Equity increased in four of the last eight quarters, with an average decline of 5.4%.
- The strongest year-over-year quarter for Liabilities and Shareholders Equity in the past five years was Q4 2021, with growth of 275.7%; the weakest was Q4 2024, with a decline of 55.2%.
- According to Business Quant data, Liabilities and Shareholders Equity for the three prior quarters was $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) | Liabilities and Shareholders Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 114.23 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 108.25 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 93.28 Bn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 19.35 Bn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 47.25 Bn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 45.46 Bn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 14.14 Bn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 50.73 Bn |
| 10 | Femasys | 4.87 Mn | -15.80 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 Liabilities and Shareholders Equity 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=liabilities-and-shareholders-equity&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-and-shareholders-equity", "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=liabilities-and-shareholders-equity&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();