Femasys (FEMY) Return on Capital Employed [ROCE] (2021 - 2026)
Femasys' Return on Capital Employed [ROCE] was -181.81% in Q2 2026, up 564.75 percentage points from -746.57% a year earlier.
Analysis
Femasys (FEMY) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Femasys came in at -135.84%, up 18.59 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a four-year change of -85.00 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -154.42% in FY2024 (-79.14 pp), -75.28% in FY2023 (-20.59 pp), -54.70% in FY2022 (-3.86 pp) and -50.84% in FY2021.
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in 1 of the last five quarters, with an average year-over-year change of -189.95 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2026 (a gain of 564.75 percentage points); the worst was Q2 2025 (a drop of 663.61 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 6.00% |
| 10 | Femasys | 6.41 Mn | -14.25 Mn | 189,391.00 | -181.81% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -181.81% |
| Jun 30, 2025 | -746.57% |
| Mar 31, 2025 | -655.03% |
| Dec 31, 2024 | -327.42% |
| Sep 30, 2024 | -116.26% |
| Jun 30, 2024 | -82.96% |
| Mar 31, 2024 | -62.98% |
| Dec 31, 2023 | -79.50% |
| Sep 30, 2023 | -105.34% |
| Jun 30, 2023 | -94.69% |
| Mar 31, 2023 | -84.18% |
| Dec 31, 2022 | -68.49% |
| Sep 30, 2022 | -55.43% |
| Jun 30, 2022 | -45.20% |
| Mar 31, 2022 | -36.95% |
| Dec 31, 2021 | -29.59% |
| Sep 30, 2021 | -24.85% |
API Access
Femasys Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=FEMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=FEMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();