Femasys (FEMY) Tax Provisions (2020 - 2026)
Femasys (FEMY) recorded Tax Provisions of $865.00 in Q2 2026.
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Analysis
Femasys (FEMY) Tax Provisions (2020 - 2026) Analysis & Trends
On a TTM basis, Femasys' Tax Provisions came in at $6,871 as of Jun 30, 2026, down 4.1% year-over-year; for FY2025, it was $1,297, down 86.5% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of -6.3% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $9,602 in FY2024 (+121.3%), $4,338 in FY2023 (-31.1%), $6,300 in FY2022 (+57.5%) and $4,000 in FY2021 (+122.2%).
- The Q2 2026 figure is the highest quarterly Tax Provisions since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 255.98 Bn | 235.01 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 172.60 Bn | 143.03 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 160.98 Bn | 144.79 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 147.87 Bn | 127.30 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 120.22 Bn | 85.48 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 113.90 Bn | 100.02 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 65.66 Bn | 60.43 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Becton Dickinson | 53.16 Bn | 50.31 Bn | 2.32 Bn | 102.00 Mn |
| 9 | Edwards Lifesciences | 50.31 Bn | 34.32 Bn | 1.35 Bn | 278.40 Mn |
| 10 | Femasys | 5.54 Mn | -15.12 Mn | 189,391.00 | 865.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 865.00 |
| Mar 31, 2025 | -4,188.00 |
| Dec 31, 2024 | 10,194.00 |
| Sep 30, 2024 | 1,158.00 |
| Jun 30, 2024 | -1,750.00 |
| Dec 31, 2023 | 4,338.00 |
| Dec 31, 2021 | 4,000.00 |
| Dec 31, 2020 | 1,800.00 |
API Access
Femasys Tax Provisions 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=tax-provisions&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();