Femasys (FEMY) Net Long-Term Debt Issued (Repaid) (2020 - 2025)
Femasys (FEMY) posted Non-Current Debt of $182,490 for Q4 2020.
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Analysis
Femasys (FEMY) Net Long-Term Debt Issued (Repaid) (2020 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | - |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | -2.00 Bn |
| 10 | Femasys | 4.87 Mn | -15.80 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 | -87,328.00 |
| Mar 31, 2021 | 36,178.00 |
| Dec 31, 2020 | -15,075.00 |
| Sep 30, 2020 | -4,776.00 |
API Access
Femasys Net Long-Term Debt Issued (Repaid) 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-current-debt&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();