Femasys (FEMY) Price to Sales (2021 - 2026)
Femasys' Price to Sales came in at 7.60 for Q2 2026, down 54.4% from 16.68 a year earlier.
Analysis
Femasys (FEMY) Price to Sales (2021 - 2026) Analysis & Trends
For FY2025, Femasys' Price to Sales was 9.93, down 37.0% from FY2024.
- Going back by year, Price to Sales was 15.77 in FY2024 (+12.7%), 13.99 in FY2023 (+58.0%), 8.86 in FY2022 (-60.1%) and 22.19 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Price to Sales since Q2 2023.
- Year-over-year, Price to Sales increased in 1 of the last five quarters, with an average decline of 34.7%.
- The fastest year-over-year change in Price to Sales over five years came in Q2 2024 (growth of 315.1%), and the weakest in Q3 2022 (a decline of 83.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Femasys | 6.41 Mn | -14.25 Mn | 189,391.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.60 |
| Jun 30, 2025 | 16.68 |
| Mar 31, 2025 | 19.93 |
| Dec 31, 2024 | 15.77 |
| Sep 30, 2024 | 19.58 |
| Jun 30, 2024 | 26.68 |
| Mar 31, 2024 | 32.65 |
| Dec 31, 2023 | 13.99 |
| Sep 30, 2023 | 43.60 |
| Jun 30, 2023 | 6.43 |
| Mar 31, 2023 | 10.93 |
| Dec 31, 2022 | 8.86 |
| Sep 30, 2022 | 10.89 |
| Jun 30, 2022 | 24.79 |
| Mar 31, 2022 | 22.78 |
| Dec 31, 2021 | 22.19 |
| Sep 30, 2021 | 67.39 |
| Jun 30, 2021 | 13.47 |
API Access
Femasys Price to Sales 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=price-to-sales&ticker=FEMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();