Femasys (FEMY) Capital Expenditures (2020 - 2026)
Femasys (FEMY) recorded Capital Expenditures of $9,402 in Q2 2026, down 90.0% from $94,229 a year earlier and down 88.1% from the prior quarter.
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Analysis
Femasys (FEMY) Capital Expenditures (2020 - 2026) Analysis & Trends
On a TTM basis, Femasys' Capital Expenditures came in at $422,713 as of Jun 30, 2026, down 40.1% year-over-year; for FY2025, it was $525,007, down 31.1% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 128.9% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $761,706 in FY2024 (+429.3%), $143,917 in FY2023 (-64.7%), $407,475 in FY2022 (+32.8%) and $306,868 in FY2021.
- The Q2 2026 figure is the lowest quarterly Capital Expenditures since Q1 2023.
- On a year-over-year basis, Capital Expenditures rose in three of the last seven quarters, with growth averaging 1.4%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 625.3% in Q1 2024, against a decline of 92.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $79,138 (Q1 2026), $139,840 (Q4 2025) and $194,333 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Femasys | 6.32 Mn | -14.34 Mn | 189,391.00 | 9,402.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9,402.00 |
| Mar 31, 2026 | 79,138.00 |
| Dec 31, 2025 | 139,840.00 |
| Sep 30, 2025 | 194,333.00 |
| Jun 30, 2025 | 94,229.00 |
| Mar 31, 2025 | 96,605.00 |
| Dec 31, 2024 | 106,792.00 |
| Sep 30, 2024 | 407,936.00 |
| Jun 30, 2024 | 182,421.00 |
| Mar 31, 2024 | 64,557.00 |
| Dec 31, 2023 | 44,899.00 |
| Sep 30, 2023 | 27,169.00 |
| Jun 30, 2023 | 62,948.00 |
| Mar 31, 2023 | 8,901.00 |
| Dec 31, 2022 | 93,877.00 |
| Sep 30, 2022 | 18,540.00 |
| Jun 30, 2022 | 174,690.00 |
| Mar 31, 2022 | 120,368.00 |
| Dec 31, 2021 | 118,623.00 |
| Sep 30, 2021 | 175,733.00 |
API Access
Femasys Capital Expenditures 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=capital-expenditures&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();