PAVmed (PAVM) Operating Expenses (2015 - 2026)
PAVmed's Operating Expenses came in at $7.06 million for Q2 2026, up 49.4% from $4.72 million a year earlier.
Powered by 
Analysis
PAVmed (PAVM) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, PAVmed reported Operating Expenses of $23.48 million, down 21.8% year-over-year; for FY2025, it came in at $21.88 million, down 53.9% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $47.48 million in FY2024 (-33.4%), $71.25 million in FY2023 (-22.1%), $91.46 million in FY2022 (+66.6%) and $54.89 million in FY2021 (+135.1%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q2 2024.
- Year-over-year, Operating Expenses increased in two of the last five quarters, with an average decline of 24.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 164.4%), and the weakest in Q4 2024 (a decline of 70.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 4.32 Bn |
| 10 | PAVmed | 9.87 Mn | -5.01 Mn | -89,000.00 | 7.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.06 Mn |
| Dec 31, 2025 | 6.86 Mn |
| Sep 30, 2025 | 4.85 Mn |
| Jun 30, 2025 | 4.72 Mn |
| Mar 31, 2025 | 5.45 Mn |
| Dec 31, 2024 | 5.20 Mn |
| Sep 30, 2024 | 12.57 Mn |
| Jun 30, 2024 | 14.66 Mn |
| Mar 31, 2024 | 15.05 Mn |
| Dec 31, 2023 | 17.43 Mn |
| Sep 30, 2023 | 16.32 Mn |
| Jun 30, 2023 | 16.65 Mn |
| Mar 31, 2023 | 20.85 Mn |
| Dec 31, 2022 | 24.71 Mn |
| Sep 30, 2022 | 23.44 Mn |
| Jun 30, 2022 | 23.48 Mn |
| Mar 31, 2022 | 19.82 Mn |
| Dec 31, 2021 | 19.98 Mn |
| Sep 30, 2021 | 13.87 Mn |
| Jun 30, 2021 | 12.97 Mn |
API Access
PAVmed Operating Expenses 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=operating-expenses&ticker=PAVM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PAVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();