Femasys (FEMY) Shares Outstanding (2020 - 2026)
Femasys (FEMY) posted Shares Outstanding of 3.36 million for Q2 2026, up 132.5% from 1.44 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Femasys (FEMY) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Femasys' Shares Outstanding came in at 1.98 million, up 77.6% from FY2024.
- Annual Shares Outstanding has increased for five consecutive years, with a five-year compound annual growth rate of 110.4% (FY2020 to FY2025).
- In prior years, Femasys' Shares Outstanding 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%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q2 2020.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 17 quarters, with growth averaging 74.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 0.1% (Q3 2022) to 599.3% (Q4 2021).
- According to Business Quant data, Shares Outstanding for the three prior quarters was 3.33 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 (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 703.80 Mn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 383.50 Mn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 576.30 Mn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 274.79 Mn |
| 10 | Femasys | 4.87 Mn | -15.80 Mn | 189,391.00 | 3.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.36 Mn |
| Mar 31, 2026 | 3.33 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 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&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();