Femasys (FEMY) Share-based Compensation (2020 - 2026)
Femasys (FEMY) reported Share-based Compensation of $210,820 for Q2 2026, up 15.9% from $181,971 a year earlier and up 39.1% from the prior quarter.
Powered by 
Analysis
Femasys (FEMY) Share-based Compensation (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Femasys' Share-based Compensation came in at $603,365, down 25.7% year-over-year; for FY2025, it came in at $790,145, up 77.9% from FY2024.
- Share-based Compensation has a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- By year, Share-based Compensation came in at $444,147 in FY2024 (-34.3%), $675,700 in FY2023 (+200.4%), $224,939 in FY2022 (+16.3%) and $193,366 in FY2021 (-39.3%).
- The Q2 2026 figure ranks as the highest quarterly Share-based Compensation since Q1 2025.
- Year over year, Share-based Compensation gained in five of the last eight quarters, with growth averaging 61.1%.
- The high point for year-over-year Share-based Compensation in five years was Q3 2023 (growth of 874.4%); the low point was Q3 2024 (a decline of 74.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $151,608 (Q1 2026), $66,423 (Q4 2025) and $174,514 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Stock Comp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 82.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 168.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 93.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 209.90 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 125.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 54.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 87.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 42.20 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 55.00 Mn |
| 10 | Femasys | 6.32 Mn | -14.34 Mn | 189,391.00 | 210,820.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 210,820.00 |
| Mar 31, 2026 | 151,608.00 |
| Dec 31, 2025 | 66,423.00 |
| Sep 30, 2025 | 174,514.00 |
| Jun 30, 2025 | 181,971.00 |
| Mar 31, 2025 | 367,237.00 |
| Dec 31, 2024 | 134,143.00 |
| Sep 30, 2024 | 128,406.00 |
| Jun 30, 2024 | 104,013.00 |
| Mar 31, 2024 | 77,585.00 |
| Dec 31, 2023 | 49,171.00 |
| Sep 30, 2023 | 504,359.00 |
| Jun 30, 2023 | 65,216.00 |
| Mar 31, 2023 | 56,954.00 |
| Dec 31, 2022 | 66,651.00 |
| Sep 30, 2022 | 51,762.00 |
| Jun 30, 2022 | 62,167.00 |
| Mar 31, 2022 | 44,359.00 |
| Dec 31, 2021 | 29,442.00 |
| Sep 30, 2021 | 33,388.00 |
API Access
Femasys Share-based Compensation 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=share-based-compensation&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "share-based-compensation", "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=share-based-compensation&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();