Femasys (FEMY) EBITDA (2020 - 2026)
Femasys' EBITDA was -$4.98 million in Q2 2026, compared with -$3.77 million a year earlier.
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Analysis
Femasys (FEMY) EBITDA (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Femasys' EBITDA was -$18.76 million through Jun 30, 2026; for FY2025, it was -$17.25 million.
- In earlier years, EBITDA was -$17.49 million in FY2024, -$14.02 million in FY2023, -$11.04 million in FY2022 and -$7.75 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly EBITDA since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Femasys | 5.71 Mn | -14.96 Mn | 189,391.00 | -4.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.98 Mn |
| Jun 30, 2025 | -3.38 Mn |
| Mar 31, 2025 | -5.02 Mn |
| Dec 31, 2024 | -4.30 Mn |
| Sep 30, 2024 | -4.73 Mn |
| Jun 30, 2024 | -4.13 Mn |
| Mar 31, 2024 | -3.13 Mn |
| Dec 31, 2023 | -4.25 Mn |
| Sep 30, 2023 | -3.96 Mn |
| Jun 30, 2023 | -2.80 Mn |
| Mar 31, 2023 | -2.91 Mn |
| Dec 31, 2022 | -2.87 Mn |
| Sep 30, 2022 | -2.92 Mn |
| Jun 30, 2022 | -2.52 Mn |
| Mar 31, 2022 | -2.74 Mn |
| Dec 31, 2021 | -2.22 Mn |
| Sep 30, 2021 | -2.11 Mn |
| Jun 30, 2021 | -1.75 Mn |
| Mar 31, 2021 | -1.67 Mn |
| Dec 31, 2020 | -1.48 Mn |
API Access
Femasys EBITDA 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=ebitda&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();