Femasys (FEMY) Shares Outstanding (Diluted) (2020 - 2026)
Femasys' Shares Outstanding (Diluted) was 3.36 million in Q2 2026, up 132.5% from 1.44 million a year earlier but down 14.0% from the prior quarter.
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Analysis
Femasys (FEMY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Femasys came in at 1.98 million, up 77.6% from FY2024.
- Shares Outstanding (Diluted) has now increased for five consecutive years, with a five-year compound annual growth rate of 110.4% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 1.11 million in FY2024 (+44.7%), 769,219 in FY2023 (+30.2%), 590,751 in FY2022 (+76.0%) and 335,601 in FY2021 (+599.3%).
- Quarterly Shares Outstanding (Diluted) has moved between 335,601 (Q4 2021) and 3.9 million (Q1 2026) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 17 straight quarters, with growth averaging 80.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.1% in Q3 2022 to 599.3% in Q4 2021.
- Per Business Quant data, FEMY's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 3.9 million (Q1 2026), 1.98 million (Q4 2025) and 2.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Femasys | 6.53 Mn | -14.13 Mn | 189,391.00 | 3.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.36 Mn |
| Mar 31, 2026 | 3.90 Mn |
| Dec 31, 2025 | 1.98 Mn |
| Sep 30, 2025 | 2.05 Mn |
| Jun 30, 2025 | 1.44 Mn |
| Mar 31, 2025 | 1.26 Mn |
| Dec 31, 2024 | 1.11 Mn |
| Sep 30, 2024 | 1.11 Mn |
| Jun 30, 2024 | 1.11 Mn |
| Mar 31, 2024 | 1.09 Mn |
| Dec 31, 2023 | 769,219.00 |
| Sep 30, 2023 | 754,657.00 |
| Jun 30, 2023 | 655,380.00 |
| Mar 31, 2023 | 593,613.00 |
| Dec 31, 2022 | 590,751.00 |
| Sep 30, 2022 | 590,680.00 |
| Jun 30, 2022 | 590,649.00 |
| Mar 31, 2022 | 590,208.00 |
| Dec 31, 2021 | 335,601.00 |
| Sep 30, 2021 | 589,986.00 |
API Access
Femasys Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();