Femasys (FEMY) Non-Current Assets (2020 - 2026)
Femasys (FEMY) recorded Non-Current Assets of $3.96 million in Q2 2026, down 1.8% from $4.03 million a year earlier and down 4.7% from the prior quarter.
Powered by 
Analysis
Femasys (FEMY) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Femasys reported Non-Current Assets of $4.27 million, down 3.5% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $4.42 million in FY2024 (-3.4%), $4.58 million in FY2023 (+65.6%), $2.76 million in FY2022 (-6.2%) and $2.95 million in FY2021 (-21.3%).
- The Q2 2026 figure is the lowest quarterly Non-Current Assets since Q2 2023.
- On a year-over-year basis, Non-Current Assets rose in 1 of the last eight quarters, with an average decline of 4.6%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 90.2% in Q2 2024, against a decline of 21.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.15 million (Q1 2026), $4.27 million (Q4 2025) and $4.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Femasys | 5.71 Mn | -14.96 Mn | 189,391.00 | 3.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.96 Mn |
| Mar 31, 2026 | 4.15 Mn |
| Dec 31, 2025 | 4.27 Mn |
| Sep 30, 2025 | 4.04 Mn |
| Jun 30, 2025 | 4.03 Mn |
| Mar 31, 2025 | 4.15 Mn |
| Dec 31, 2024 | 4.42 Mn |
| Sep 30, 2024 | 4.29 Mn |
| Jun 30, 2024 | 4.34 Mn |
| Mar 31, 2024 | 4.49 Mn |
| Dec 31, 2023 | 4.58 Mn |
| Sep 30, 2023 | 4.63 Mn |
| Jun 30, 2023 | 2.28 Mn |
| Mar 31, 2023 | 2.54 Mn |
| Dec 31, 2022 | 2.76 Mn |
| Sep 30, 2022 | 2.74 Mn |
| Jun 30, 2022 | 2.79 Mn |
| Mar 31, 2022 | 2.81 Mn |
| Dec 31, 2021 | 2.95 Mn |
| Sep 30, 2021 | 2.83 Mn |
API Access
Femasys Non-Current Assets 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=non-current-assets&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();