Femasys Inc (FEMY) Operating Expenses (2020 - 2026)
Femasys (FEMY) posted Operating Expenses of $5.26 million for Q2 2026, up 28.1% from $4.1 million a year earlier.
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Femasys Inc (FEMY) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Femasys was $20.15 million, down 1.1% year-over-year; for FY2025, it came in at $19.01 million, up 0.7% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- In prior years, Femasys' Operating Expenses was $18.87 million in FY2024 (+24.1%), $15.2 million in FY2023 (+22.9%), $12.36 million in FY2022 (+35.2%) and $9.15 million in FY2021 (+19.3%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses increased in four of the last five quarters, with growth averaging 22.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2025, with growth of 55.9%; the weakest was Q2 2025, with a decline of 11.4%.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.26 Mn |
| Jun 30, 2025 | 4.10 Mn |
| Mar 31, 2025 | 5.68 Mn |
| Dec 31, 2024 | 5.11 Mn |
| Sep 30, 2024 | 5.48 Mn |
| Jun 30, 2024 | 4.63 Mn |
| Mar 31, 2024 | 3.65 Mn |
| Dec 31, 2023 | 4.58 Mn |
| Sep 30, 2023 | 4.24 Mn |
| Jun 30, 2023 | 3.15 Mn |
| Mar 31, 2023 | 3.23 Mn |
| Dec 31, 2022 | 3.15 Mn |
| Sep 30, 2022 | 3.27 Mn |
| Jun 30, 2022 | 2.86 Mn |
| Mar 31, 2022 | 3.08 Mn |
| Dec 31, 2021 | 2.55 Mn |
| Sep 30, 2021 | 2.42 Mn |
| Jun 30, 2021 | 2.12 Mn |
| Mar 31, 2021 | 2.06 Mn |
| Dec 31, 2020 | 1.86 Mn |
API Access
Femasys Inc Operating Expenses 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=operating-expenses&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();