PAVmed (PAVM) Return on Capital Employed [ROCE] (2016 - 2026)
PAVmed's Return on Capital Employed [ROCE] was -66.01% in Q2 2026, up 10.69 percentage points from -76.70% a year earlier.
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Analysis
PAVmed (PAVM) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at PAVmed came in at -109.58%.
- Return on Capital Employed [ROCE] shows a four-year change of +9.13 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -311.11% in FY2022 (-192.40 pp) and -118.71% in FY2021.
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 262.25 Bn | 238.76 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.17 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 164.19 Bn | 143.84 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 161.04 Bn | 141.33 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 131.95 Bn | 97.20 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 125.10 Bn | 111.29 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 63.84 Bn | 59.28 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 60.08 Bn | 43.28 Bn | 1.35 Bn | 11.59% |
| 9 | Becton Dickinson | 59.15 Bn | 56.30 Bn | 2.32 Bn | 6.00% |
| 10 | PAVmed | 10.47 Mn | -4.42 Mn | -89,000.00 | -68.95% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -66.01% |
| Dec 31, 2025 | -92.39% |
| Sep 30, 2025 | -66.16% |
| Jun 30, 2025 | -71.13% |
| Mar 31, 2025 | -112.31% |
| Jun 30, 2023 | -975.38% |
| Mar 31, 2023 | -1,010.82% |
| Dec 31, 2022 | -413.61% |
| Sep 30, 2022 | -242.39% |
| Jun 30, 2022 | -171.73% |
| Mar 31, 2022 | -96.76% |
| Dec 31, 2021 | -94.73% |
| Sep 30, 2018 | -203.87% |
| Jun 30, 2018 | -306.85% |
| Mar 31, 2018 | -543.84% |
| Dec 31, 2016 | -2,367.38% |
API Access
PAVmed 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=PAVM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "PAVM", "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=PAVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();