Femasys (FEMY) Selling, General & Administrative (2020 - 2026)
Femasys (FEMY) posted Selling, General & Administrative of $1.93 million for Q2 2026, up 19.5% from $1.62 million a year earlier.
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Analysis
Femasys (FEMY) Selling, General & Administrative (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Femasys was $6.95 million, up 6.1% year-over-year; for FY2025, it was $6.65 million, up 5.1% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- In prior years, Femasys' Selling, General & Administrative was $6.33 million in FY2024 (-7.8%), $6.86 million in FY2023 (+26.3%), $5.43 million in FY2022 (+27.4%) and $4.26 million in FY2021 (+67.5%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative since Q4 2023.
- On a year-over-year basis, Selling, General & Administrative increased in three of the last five quarters, with an average decline of 2.4%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2021, with growth of 82.2%; the weakest was Q4 2024, with a decline of 24.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Femasys | 6.20 Mn | -14.47 Mn | 189,391.00 | 1.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.93 Mn |
| Jun 30, 2025 | 1.62 Mn |
| Mar 31, 2025 | 1.72 Mn |
| Dec 31, 2024 | 1.68 Mn |
| Sep 30, 2024 | 1.53 Mn |
| Jun 30, 2024 | 1.61 Mn |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 2.22 Mn |
| Sep 30, 2023 | 1.97 Mn |
| Jun 30, 2023 | 1.36 Mn |
| Mar 31, 2023 | 1.32 Mn |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | 1.40 Mn |
| Jun 30, 2022 | 1.18 Mn |
| Mar 31, 2022 | 1.45 Mn |
| Dec 31, 2021 | 1.23 Mn |
| Sep 30, 2021 | 1.09 Mn |
| Jun 30, 2021 | 1.05 Mn |
| Mar 31, 2021 | 891,987.00 |
| Dec 31, 2020 | 753,448.00 |
API Access
Femasys Selling, General & Administrative 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=selling-general-and-administrative&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();