Femasys (FEMY) Return on Sales [ROS] (2020 - 2026)
Femasys' Return on Sales [ROS] was -1526.66% in Q2 2026, down 585.57 percentage points from -941.09% a year earlier.
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Analysis
Femasys (FEMY) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Femasys' Return on Sales [ROS] was -1147.92% through Jun 30, 2026, down 132.92 percentage points year-over-year; for FY2025, it came in at -766.95%, up 324.80 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -98.97 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -1091.75% in FY2024 (+261.68 pp), -1353.43% in FY2023 (-391.73 pp), -961.71% in FY2022 (-255.01 pp) and -706.70% in FY2021 (-38.71 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last five quarters, with an average year-over-year change of +439.53 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2024 (a gain of 1275.86 percentage points); the worst was Q2 2024 (a drop of 1107.67 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 13.31% |
| 10 | Femasys | 6.41 Mn | -14.25 Mn | 189,391.00 | -1,526.66% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,526.66% |
| Jun 30, 2025 | -941.09% |
| Mar 31, 2025 | -1,600.11% |
| Dec 31, 2024 | -812.03% |
| Sep 30, 2024 | -922.39% |
| Jun 30, 2024 | -2,023.69% |
| Mar 31, 2024 | -1,277.07% |
| Dec 31, 2023 | -2,087.89% |
| Sep 30, 2023 | -1,670.18% |
| Jun 30, 2023 | -916.02% |
| Mar 31, 2023 | -1,034.64% |
| Dec 31, 2022 | -1,280.87% |
| Sep 30, 2022 | -879.88% |
| Jun 30, 2022 | -877.55% |
| Mar 31, 2022 | -896.92% |
| Dec 31, 2021 | -927.05% |
| Sep 30, 2021 | -835.16% |
| Jun 30, 2021 | -583.14% |
| Mar 31, 2021 | -553.88% |
| Dec 31, 2020 | -592.41% |
API Access
Femasys Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FEMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();