Femasys (FEMY) Debt Ratio (2020 - 2025)
Femasys' (FEMY) Debt Ratio was 0.02 for Q3 2025, down 96.2% from the prior quarter.
Powered by 
Analysis
Femasys (FEMY) Debt Ratio (2020 - 2025) Analysis & Trends
For FY2024, Debt Ratio at Femasys was 0.43.
- By year, Debt Ratio came in at 0.01 in FY2022 (+31.9%), 0.01 in FY2021 (-94.1%) and 0.11 in FY2020.
- The Q3 2025 figure ranks as the lowest quarterly Debt Ratio since Q4 2022.
- Per Business Quant data, the three quarters before Q3 2025 came in at 0.44 (Q2 2025), 0.43 (Q1 2025) and 0.43 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 0.36 |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 0.29 |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 0.28 |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 0.32 |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 0.26 |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 0.04 |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 0.33 |
| 10 | Femasys | 4.87 Mn | -15.80 Mn | 189,391.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 0.02 |
| Jun 30, 2025 | 0.44 |
| Mar 31, 2025 | 0.43 |
| Dec 31, 2024 | 0.43 |
| Sep 30, 2023 | 0.02 |
| Dec 31, 2022 | 0.01 |
| Sep 30, 2022 | 0.01 |
| Jun 30, 2022 | 0.02 |
| Mar 31, 2022 | 0.00 |
| Dec 31, 2021 | 0.01 |
| Sep 30, 2021 | 0.01 |
| Jun 30, 2021 | 0.01 |
| Dec 31, 2020 | 0.11 |
API Access
Femasys Debt Ratio 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=debt-ratio&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();