Femasys (FEMY) Long-Term Debt Repayments (2020 - 2025)
Femasys (FEMY) posted Long-Term Debt Repayments of $6.67 million for Q4 2025.
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Analysis
Femasys (FEMY) Long-Term Debt Repayments (2020 - 2025) Analysis & Trends
For FY2025, Femasys' Long-Term Debt Repayments came in at $6.77 million.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 223.6% (FY2020 to FY2025).
- In prior years, Femasys' Long-Term Debt Repayments was $610,340 in FY2023 (+20.8%), $505,205 in FY2022 (+14.3%) and $442,086 in FY2021.
- The Q4 2025 figure stands as the highest quarterly Long-Term Debt Repayments in data going back to Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Femasys | 5.54 Mn | -15.13 Mn | 189,391.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.04 Mn |
| Dec 31, 2023 | 808,478.00 |
| Sep 30, 2023 | 189,646.00 |
| Jun 30, 2023 | 6,120.00 |
| Mar 31, 2023 | 147,433.00 |
| Dec 31, 2022 | 145,262.00 |
| Sep 30, 2022 | 143,099.00 |
| Jun 30, 2022 | 98,896.00 |
| Mar 31, 2022 | 141,006.00 |
| Dec 31, 2021 | 145,156.00 |
| Sep 30, 2021 | 266,641.00 |
| Jun 30, 2021 | 22,486.00 |
| Mar 31, 2021 | 28,664.00 |
| Dec 31, 2020 | 5,075.00 |
| Sep 30, 2020 | 4,776.00 |
API Access
Femasys Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();