Femasys (FEMY) Cash & Equivalents (2020 - 2026)
Femasys (FEMY) posted Cash & Equivalents of $1.44 million for Q2 2026, down 55.1% from $3.22 million a year earlier and down 73.2% from the prior quarter.
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Analysis
Femasys (FEMY) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Femasys' Cash & Equivalents came in at $9.27 million, up 168.5% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- In prior years, Femasys' Cash & Equivalents 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 stands as the lowest quarterly Cash & Equivalents in data going back to Q4 2020.
- On a year-over-year basis, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 17.1%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 646.0%; the weakest was Q4 2024, with a decline of 84.1%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $5.39 million (Q1 2026), $9.27 million (Q4 2025) and $4.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Femasys | 4.87 Mn | -15.80 Mn | 189,391.00 | 1.44 Mn |
Historic Data
Download Data
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 |
API Access
Femasys Cash & Equivalents 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-equivalents&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-equivalents&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();