Femasys (FEMY) Property, Plant & Equipment (Net) (2020 - 2026)
Femasys' Property, Plant & Equipment (Net) was $1.86 million in Q2 2026, up 16.2% from $1.6 million a year earlier but down 3.4% from the prior quarter.
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Analysis
Femasys (FEMY) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Femasys came in at $1.9 million, up 18.8% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $1.6 million in FY2024 (+43.7%), $1.11 million in FY2023 (-25.1%), $1.48 million in FY2022 (-7.3%) and $1.6 million in FY2021 (-12.5%).
- Quarterly Property, Plant & Equipment (Net) has moved between $1.11 million (Q4 2023) and $1.92 million (Q1 2026) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for nine straight quarters, with growth averaging 25.4% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2024 (growth of 43.7%); the worst was Q4 2023 (a decline of 25.1%).
- Per Business Quant data, FEMY's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $1.92 million (Q1 2026), $1.9 million (Q4 2025) and $1.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 10.58 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 12.88 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 5.77 Bn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 4.05 Bn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 4.18 Bn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 1.86 Bn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Femasys | 4.87 Mn | -15.80 Mn | 189,391.00 | 1.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.86 Mn |
| Mar 31, 2026 | 1.92 Mn |
| Dec 31, 2025 | 1.90 Mn |
| Sep 30, 2025 | 1.75 Mn |
| Jun 30, 2025 | 1.60 Mn |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | 1.60 Mn |
| Sep 30, 2024 | 1.39 Mn |
| Jun 30, 2024 | 1.26 Mn |
| Mar 31, 2024 | 1.21 Mn |
| Dec 31, 2023 | 1.11 Mn |
| Sep 30, 2023 | 1.16 Mn |
| Jun 30, 2023 | 1.26 Mn |
| Mar 31, 2023 | 1.38 Mn |
| Dec 31, 2022 | 1.48 Mn |
| Sep 30, 2022 | 1.54 Mn |
| Jun 30, 2022 | 1.63 Mn |
| Mar 31, 2022 | 1.59 Mn |
| Dec 31, 2021 | 1.60 Mn |
| Sep 30, 2021 | 1.61 Mn |
API Access
Femasys Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();