Femasys (FEMY) Notes Payables (2020 - 2025)
Femasys' Notes Payables was $276,489 in Q3 2025, down 95.5% from the prior quarter.
Powered by 
Analysis
Femasys (FEMY) Notes Payables (2020 - 2025) Analysis & Trends
At the end of FY2024, Notes Payables at Femasys came in at $5.41 million.
- Notes Payables shows a four-year compound annual growth rate of 71.2% (FY2020 to FY2024).
- In earlier years, Notes Payables was $141,298 in FY2022 (-22.0%), $181,123 in FY2021 (-71.3%) and $630,010 in FY2020.
- The Q3 2025 figure marks the lowest quarterly Notes Payables since Q4 2022.
- Per Business Quant data, FEMY's Notes Payables in the three quarters before Q3 2025 was $6.08 million (Q2 2025), $5.76 million (Q1 2025) and $5.41 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Femasys | 5.71 Mn | -14.96 Mn | 189,391.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 276,489.00 |
| Jun 30, 2025 | 6.08 Mn |
| Mar 31, 2025 | 5.76 Mn |
| Dec 31, 2024 | 5.41 Mn |
| Sep 30, 2023 | 283,334.00 |
| Dec 31, 2022 | 141,298.00 |
| Sep 30, 2022 | 280,577.00 |
| Jun 30, 2022 | 417,841.00 |
| Mar 31, 2022 | 45,666.00 |
| Dec 31, 2021 | 181,123.00 |
| Sep 30, 2021 | 320,866.00 |
| Jun 30, 2021 | 470,556.00 |
| Dec 31, 2020 | 630,010.00 |
API Access
Femasys Notes Payables 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=notes-payables&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();