Femasys (FEMY) Change in Accrued Expenses (2020 - 2026)
Femasys (FEMY) recorded Change in Accured Expenses of $9,006 in Q2 2026, compared with -$117,536 a year earlier.
Femasys (FEMY) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Femasys' Change in Accured Expenses came in at $388,801 as of Jun 30, 2026, down 16.6% year-over-year; for FY2025, it was $474,724.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $6,753 in FY2024 (-99.3%), $987,582 in FY2023, -$147,073 in FY2022 and -$504,799 in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$792,239 in Q1 2024 to $874,854 in Q4 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$193,226 (Q1 2026), $597,312 (Q4 2025) and -$24,291 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | - |
| 10 | Femasys | 4.87 Mn | -15.80 Mn | 189,391.00 | 9,006.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9,006.00 |
| Mar 31, 2026 | -193,226.00 |
| Dec 31, 2025 | 597,312.00 |
| Sep 30, 2025 | -24,291.00 |
| Jun 30, 2025 | -117,536.00 |
| Mar 31, 2025 | 19,239.00 |
| Dec 31, 2024 | 323,404.00 |
| Sep 30, 2024 | 241,293.00 |
| Jun 30, 2024 | 234,295.00 |
| Mar 31, 2024 | -792,239.00 |
| Dec 31, 2023 | 874,854.00 |
| Sep 30, 2023 | 32,612.00 |
| Jun 30, 2023 | 1,413.00 |
| Mar 31, 2023 | 78,703.00 |
| Dec 31, 2022 | -192,901.00 |
| Sep 30, 2022 | 122,787.00 |
| Jun 30, 2022 | -38,400.00 |
| Mar 31, 2022 | -38,559.00 |
| Dec 31, 2021 | 5,931.00 |
| Sep 30, 2021 | 507,073.00 |
Femasys Change in Accrued 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=change-in-accured-expenses&ticker=FEMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();