Femasys (FEMY) Other Accumulated Expenses (2020 - 2026)
Femasys' Other Accumulated Expenses came in at $18,651 for Q2 2026, down 92.5% from $248,863 a year earlier and down 37.5% from the prior quarter.
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Analysis
Femasys (FEMY) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Femasys' Other Accumulated Expenses was $64,320, down 14.8% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $75,519 in FY2024 (+473.0%), $13,179 in FY2023 (+17.7%), $11,197 in FY2022 (-88.9%) and $100,765 in FY2021 (+206.3%).
- The Q2 2026 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2023.
- Year-over-year, Other Accumulated Expenses has declined for five consecutive quarters, with growth averaging 40.7% over the last seven quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q4 2024 (growth of 473.0%), and the weakest in Q2 2026 (a decline of 92.5%).
- Business Quant data shows FEMY's Other Accumulated Expenses at $29,836 (Q1 2026), $64,320 (Q4 2025) and $350,338 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Femasys | 6.20 Mn | -14.47 Mn | 189,391.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18,651.00 |
| Mar 31, 2026 | 29,836.00 |
| Dec 31, 2025 | 64,320.00 |
| Sep 30, 2025 | 350,338.00 |
| Jun 30, 2025 | 248,863.00 |
| Mar 31, 2025 | 147,275.00 |
| Dec 31, 2024 | 75,519.00 |
| Sep 30, 2024 | 352,775.00 |
| Jun 30, 2024 | 250,025.00 |
| Mar 31, 2024 | 147,275.00 |
| Dec 31, 2023 | 13,179.00 |
| Sep 30, 2023 | 11,221.00 |
| Jun 30, 2023 | 21,501.00 |
| Mar 31, 2023 | 101,432.00 |
| Dec 31, 2022 | 11,197.00 |
| Sep 30, 2022 | 104,178.00 |
| Jun 30, 2022 | 103,913.00 |
| Mar 31, 2022 | 96,526.00 |
| Dec 31, 2021 | 100,765.00 |
| Sep 30, 2021 | 189,937.00 |
API Access
Femasys Other Accumulated 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=other-accumulated-expenses&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();