Femasys (FEMY) Interest Expenses (2020 - 2026)
Femasys' Interest Expenses was $186,050 in Q2 2026, down 62.1% from $491,500 a year earlier.
Femasys (FEMY) Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Femasys' Interest Expenses was $1.58 million through Jun 30, 2026, down 12.6% year-over-year; for FY2025, it was $1.89 million, up 17.9% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 172.6% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $1.6 million in FY2024 (+869.6%), $165,390 in FY2023, $13,464 in FY2022 (-30.0%) and $19,226 in FY2021 (+53.2%).
- The Q2 2026 figure marks the lowest quarterly Interest Expenses since Q4 2023.
- Compared with a year earlier, Interest Expenses was higher in three of the last four quarters, with growth averaging 43.7%.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2024 (growth of 183.3%); the worst was Q2 2023 (a decline of 77.6%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Femasys | 6.53 Mn | -14.13 Mn | 189,391.00 | 186,050.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 186,050.00 |
| Jun 30, 2025 | 491,500.00 |
| Mar 31, 2025 | 459,449.00 |
| Dec 31, 2024 | 440,422.00 |
| Sep 30, 2024 | 413,290.00 |
| Jun 30, 2024 | 388,311.00 |
| Mar 31, 2024 | 361,552.00 |
| Dec 31, 2023 | 155,487.00 |
| Sep 30, 2023 | 8,033.00 |
| Jun 30, 2023 | 198.00 |
| Mar 31, 2023 | 1,672.00 |
| Dec 31, 2022 | 3,842.00 |
| Sep 30, 2022 | 6,005.00 |
| Jun 30, 2022 | 883.00 |
| Mar 31, 2022 | 2,734.00 |
| Dec 31, 2021 | 4,680.00 |
| Sep 30, 2021 | 7,055.00 |
| Jun 30, 2021 | 3,643.00 |
| Mar 31, 2021 | 3,848.00 |
| Dec 31, 2020 | 3,460.00 |
Femasys Interest 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=interest-expenses&ticker=FEMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();