Femasys (FEMY) Non Operating Interest Expenses (2020 - 2026)
Femasys' Non Operating Interest Expenses was $186,050 in Q2 2026, down 62.1% from $491,500 a year earlier.
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Analysis
Femasys (FEMY) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Femasys' Non Operating Interest Expenses was $1.58 million through Jun 30, 2026, down 12.6% year-over-year; for FY2025, it came in at $1.89 million, up 17.9% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 172.6% (FY2020 to FY2025).
- In earlier years, Non Operating 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 Non Operating Interest Expenses since Q4 2023.
- Compared with a year earlier, Non Operating Interest Expenses was higher in three of the last four quarters, with growth averaging 43.7%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2024 (growth of 183.3%); the worst was Q2 2023 (a decline of 77.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 417.00 Mn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Femasys | 4.87 Mn | -15.80 Mn | 189,391.00 | 186,050.00 |
Historic Data
Download Data
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 |
API Access
Femasys Non Operating 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=non-operating-interest-expenses&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();