Femasys Inc (FEMY) Net Margin (2020 - 2026)
Femasys (FEMY) recorded Net Margin of -1346.81% in Q2 2026, down 226.30 percentage points from -1120.52% a year earlier.
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Analysis
Femasys Inc (FEMY) Net Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Femasys' Net Margin came in at -1206.51% as of Jun 30, 2026, down 92.83 percentage points year-over-year; for FY2025, it was -812.27%, up 342.76 percentage points from FY2024.
- Annual Net Margin has a five-year change of -146.03 percentage points (FY2020 to FY2025).
- Across earlier years, Net Margin came in at -1155.03% in FY2024 (+174.03 pp), -1329.06% in FY2023 (-384.44 pp), -944.62% in FY2022 (-305.65 pp) and -638.97% in FY2021 (+27.27 pp).
- The Q2 2026 figure is the lowest quarterly Net Margin since Q1 2025.
- On a year-over-year basis, Net Margin rose in three of the last five quarters, with an average year-over-year change of +443.47 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 1188.56 percentage points in Q4 2024, against a drop of 1212.31 percentage points in Q2 2024 at the low end.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,346.81% |
| Jun 30, 2025 | -1,120.52% |
| Mar 31, 2025 | -1,727.94% |
| Dec 31, 2024 | -881.00% |
| Sep 30, 2024 | -974.73% |
| Jun 30, 2024 | -2,115.08% |
| Mar 31, 2024 | -1,327.55% |
| Dec 31, 2023 | -2,069.56% |
| Sep 30, 2023 | -1,635.66% |
| Jun 30, 2023 | -902.77% |
| Mar 31, 2023 | -1,002.18% |
| Dec 31, 2022 | -1,235.55% |
| Sep 30, 2022 | -858.48% |
| Jun 30, 2022 | -869.02% |
| Mar 31, 2022 | -897.01% |
| Dec 31, 2021 | -929.85% |
| Sep 30, 2021 | -838.23% |
| Jun 30, 2021 | -332.22% |
| Mar 31, 2021 | -554.99% |
| Dec 31, 2020 | -590.65% |
API Access
Femasys Inc Net 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=net-margin&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();