Femasys (FEMY) EPS (Basic) (2020 - 2026)
Femasys (FEMY) posted EPS (Basic) of -$1.33 for Q2 2026, compared with -$3.18 a year earlier.
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Analysis
Femasys (FEMY) EPS (Basic) (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Basic) at Femasys was -$5.98; for FY2025, it was -$9.42.
- In prior years, Femasys' EPS (Basic) was -$16.90 in FY2024, -$18.52 in FY2023, -$19.29 in FY2022 and -$22.46 in FY2021.
- The Q2 2026 figure stands as the highest quarterly EPS (Basic) in data going back to Q2 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.31 |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.15 |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.33 |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 0.62 |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 0.42 |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 1.37 |
| 10 | Femasys | 6.32 Mn | -14.34 Mn | 189,391.00 | -1.33 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.33 |
| Jun 30, 2025 | -3.18 |
| Mar 31, 2025 | -4.69 |
| Dec 31, 2024 | -4.60 |
| Sep 30, 2024 | -4.87 |
| Jun 30, 2024 | -4.22 |
| Mar 31, 2024 | -3.31 |
| Dec 31, 2023 | -5.73 |
| Sep 30, 2023 | -5.30 |
| Jun 30, 2023 | -4.42 |
| Mar 31, 2023 | -4.96 |
| Dec 31, 2022 | -4.90 |
| Sep 30, 2022 | -5.05 |
| Jun 30, 2022 | -4.46 |
| Mar 31, 2022 | -4.88 |
| Dec 31, 2021 | -7.05 |
| Sep 30, 2021 | -3.83 |
| Jun 30, 2021 | -10.43 |
| Mar 31, 2021 | -36.78 |
| Dec 31, 2020 | -34.58 |
API Access
Femasys EPS (Basic) 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=eps-basic&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();