Femasys (FEMY) Other non-cash items (2020 - 2026)
Analysis
Femasys (FEMY) Other non-cash items (2020 - 2026) Analysis & Trends
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 |
|---|---|
| Jun 30, 2026 | -764,000.00 |
| Mar 31, 2026 | -5.08 Mn |
| Dec 31, 2025 | -973,912.00 |
| Sep 30, 2025 | 125,379.00 |
| Mar 31, 2025 | 132,207.00 |
| Dec 31, 2024 | 136,081.00 |
| Sep 30, 2024 | 139,430.00 |
| Jun 30, 2024 | 145,507.00 |
| Mar 31, 2024 | 153,664.00 |
| Dec 31, 2023 | 145,374.00 |
| Sep 30, 2023 | 128,819.00 |
| Jun 30, 2023 | 74,376.00 |
| Mar 31, 2023 | 75,935.00 |
| Dec 31, 2022 | 78,235.00 |
| Sep 30, 2022 | 81,192.00 |
| Jun 30, 2022 | 83,647.00 |
| Mar 31, 2022 | 88,933.00 |
| Dec 31, 2021 | 89,240.00 |
| Sep 30, 2021 | 91,229.00 |
| Jun 30, 2021 | -726,481.00 |
API Access
Femasys Other non-cash items 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=other-non-cash-items&ticker=FEMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();