Femasys (FEMY) Other Non-Current Assets (2020 - 2026)
Femasys (FEMY) recorded Other Non-Current Assets of $918,618 in Q2 2026, up 10.8% from $829,204 a year earlier but down 0.6% from the prior quarter.
Powered by 
Analysis
Femasys (FEMY) Other Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Femasys reported Other Non-Current Assets of $940,232, down 1.5% from FY2024.
- Annual Other Non-Current Assets has a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Assets came in at $954,992 in FY2024 (-12.1%), $1.09 million in FY2023 (+13.4%), $958,177 in FY2022 (+46.2%) and $655,418 in FY2021 (-17.3%).
- Quarterly Other Non-Current Assets has ranged from $428,933 in Q3 2021 to $1.09 million in Q4 2023 over the past five years.
- On a year-over-year basis, Other Non-Current Assets rose in two of the last eight quarters, with an average decline of 5.6%.
- Peak year-over-year performance for Other Non-Current Assets in the last five years was growth of 84.1% in Q3 2022, against a decline of 17.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $924,552 (Q1 2026), $940,232 (Q4 2025) and $744,803 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 616.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.55 Bn |
| 10 | Femasys | 6.53 Mn | -14.13 Mn | 189,391.00 | 918,618.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 918,618.00 |
| Mar 31, 2026 | 924,552.00 |
| Dec 31, 2025 | 940,232.00 |
| Sep 30, 2025 | 744,803.00 |
| Jun 30, 2025 | 829,204.00 |
| Mar 31, 2025 | 838,043.00 |
| Dec 31, 2024 | 954,992.00 |
| Sep 30, 2024 | 887,410.00 |
| Jun 30, 2024 | 957,078.00 |
| Mar 31, 2024 | 1.01 Mn |
| Dec 31, 2023 | 1.09 Mn |
| Sep 30, 2023 | 936,996.00 |
| Jun 30, 2023 | 865,588.00 |
| Mar 31, 2023 | 920,812.00 |
| Dec 31, 2022 | 958,177.00 |
| Sep 30, 2022 | 789,616.00 |
| Jun 30, 2022 | 663,083.00 |
| Mar 31, 2022 | 625,418.00 |
| Dec 31, 2021 | 655,418.00 |
| Sep 30, 2021 | 428,933.00 |
API Access
Femasys Other 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=other-non-current-assets&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();