Femasys (FEMY) EBIT (2020 - 2026)
Femasys (FEMY) reported EBIT of -$5.07 million for Q2 2026, compared with -$3.85 million a year earlier.
Analysis
Femasys (FEMY) EBIT (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Femasys' EBIT came in at -$19.1 million; for FY2025, it was -$17.59 million.
- By year, EBIT came in at -$17.79 million in FY2024, -$14.51 million in FY2023, -$11.6 million in FY2022 and -$8.34 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly EBIT since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.10 Bn | 237.13 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 174.02 Bn | 144.45 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 162.87 Bn | 146.68 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 150.08 Bn | 129.50 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 120.45 Bn | 85.70 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 113.84 Bn | 99.95 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 65.73 Bn | 60.49 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Becton Dickinson | 53.43 Bn | 50.58 Bn | 2.32 Bn | 663.00 Mn |
| 9 | Edwards Lifesciences | 50.60 Bn | 34.60 Bn | 1.35 Bn | 513.20 Mn |
| 10 | Femasys | 5.67 Mn | -14.99 Mn | 189,391.00 | -5.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.07 Mn |
| Jun 30, 2025 | -3.85 Mn |
| Mar 31, 2025 | -5.46 Mn |
| Dec 31, 2024 | -4.72 Mn |
| Sep 30, 2024 | -5.12 Mn |
| Jun 30, 2024 | -4.48 Mn |
| Mar 31, 2024 | -3.46 Mn |
| Dec 31, 2023 | -4.45 Mn |
| Sep 30, 2023 | -4.08 Mn |
| Jun 30, 2023 | -2.94 Mn |
| Mar 31, 2023 | -3.04 Mn |
| Dec 31, 2022 | -3.00 Mn |
| Sep 30, 2022 | -3.06 Mn |
| Jun 30, 2022 | -2.66 Mn |
| Mar 31, 2022 | -2.88 Mn |
| Dec 31, 2021 | -2.36 Mn |
| Sep 30, 2021 | -2.25 Mn |
| Jun 30, 2021 | -1.90 Mn |
| Mar 31, 2021 | -1.83 Mn |
| Dec 31, 2020 | -1.66 Mn |
API Access
Femasys EBIT 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=ebit&ticker=FEMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();