Femasys (FEMY) Cash & Current Investments (2020 - 2026)
Femasys' Cash & Current Investments came in at $1.44 million for Q2 2026, down 55.1% from $3.22 million a year earlier and down 73.2% from the prior quarter.
Femasys (FEMY) Cash & Current Investments (2020 - 2026) Analysis & Trends
At the end of FY2025, Femasys' Cash & Current Investments was $9.27 million, up 168.5% from FY2024.
- Cash & Current Investments carries a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- Going back by year, Cash & Current Investments was $3.45 million in FY2024 (-84.1%), $21.72 million in FY2023 (+67.5%), $12.96 million in FY2022 (-47.7%) and $24.78 million in FY2021 (+646.0%).
- The Q2 2026 figure represents the lowest quarterly Cash & Current Investments in data going back to Q4 2020.
- Year-over-year, Cash & Current Investments increased in two of the last eight quarters, with an average decline of 17.1%.
- The fastest year-over-year change in Cash & Current Investments over five years came in Q4 2021 (growth of 646.0%), and the weakest in Q4 2024 (a decline of 84.1%).
- Business Quant data shows FEMY's Cash & Current Investments at $5.39 million (Q1 2026), $9.27 million (Q4 2025) and $4.57 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Current Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.60 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.22 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.82 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.48 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 4.25 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 709.00 Mn |
| 10 | Femasys | 6.20 Mn | -14.47 Mn | 189,391.00 | 1.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.44 Mn |
| Mar 31, 2026 | 5.39 Mn |
| Dec 31, 2025 | 9.27 Mn |
| Sep 30, 2025 | 4.57 Mn |
| Jun 30, 2025 | 3.22 Mn |
| Mar 31, 2025 | 3.82 Mn |
| Dec 31, 2024 | 3.45 Mn |
| Sep 30, 2024 | 7.61 Mn |
| Jun 30, 2024 | 13.53 Mn |
| Mar 31, 2024 | 17.84 Mn |
| Dec 31, 2023 | 21.72 Mn |
| Sep 30, 2023 | 8.69 Mn |
| Jun 30, 2023 | 10.71 Mn |
| Mar 31, 2023 | 10.16 Mn |
| Dec 31, 2022 | 12.96 Mn |
| Sep 30, 2022 | 16.01 Mn |
| Jun 30, 2022 | 19.12 Mn |
| Mar 31, 2022 | 21.77 Mn |
| Dec 31, 2021 | 24.78 Mn |
| Sep 30, 2021 | 27.28 Mn |
Femasys Cash & Current Investments 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=cash-and-current-investments&ticker=FEMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-current-investments", "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=cash-and-current-investments&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();