Femasys (FEMY) EBITDA Margin (2020 - 2026)
Femasys' EBITDA Margin came in at -1501.71% for Q2 2026, down 581.70 percentage points from -920.00% a year earlier.
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Analysis
Femasys (FEMY) EBITDA Margin (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Femasys reported EBITDA Margin of -1127.72%, down 130.19 percentage points year-over-year; for FY2025, it was -752.04%, up 321.46 percentage points from FY2024.
- EBITDA Margin carries a five-year change of -149.54 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -1073.50% in FY2024 (+234.83 pp), -1308.33% in FY2023 (-393.16 pp), -915.18% in FY2022 (-258.59 pp) and -656.59% in FY2021 (-54.09 pp).
- The Q2 2026 figure represents the lowest quarterly EBITDA Margin since Q1 2025.
- Year-over-year, EBITDA Margin increased in three of the last five quarters, with an average year-over-year change of +424.83 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in Q4 2024 (a gain of 1246.91 percentage points), and the weakest in Q2 2024 (a drop of 1118.73 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 28.17% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 31.93% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 24.62% |
| 10 | Femasys | 6.53 Mn | -14.13 Mn | 189,391.00 | -1,501.71% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,501.71% |
| Jun 30, 2025 | -920.00% |
| Mar 31, 2025 | -1,575.25% |
| Dec 31, 2024 | -797.90% |
| Sep 30, 2024 | -908.65% |
| Jun 30, 2024 | -1,993.16% |
| Mar 31, 2024 | -1,250.80% |
| Dec 31, 2023 | -2,044.81% |
| Sep 30, 2023 | -1,618.89% |
| Jun 30, 2023 | -874.43% |
| Mar 31, 2023 | -989.38% |
| Dec 31, 2022 | -1,223.34% |
| Sep 30, 2022 | -839.70% |
| Jun 30, 2022 | -830.48% |
| Mar 31, 2022 | -852.06% |
| Dec 31, 2021 | -871.27% |
| Sep 30, 2021 | -781.60% |
| Jun 30, 2021 | -536.71% |
| Mar 31, 2021 | -507.34% |
| Dec 31, 2020 | -528.30% |
API Access
Femasys EBITDA Margin 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-margin&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();