Vaso (VASO) Operating Expenses (2011 - 2026)
Vaso's Operating Expenses came in at $7.92 million for Q2 2026, up 0.9% from $7.85 million a year earlier but down 38.7% from the prior quarter.
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Analysis
Vaso (VASO) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vaso reported Operating Expenses of $53.59 million, up 10.2% year-over-year; for FY2025, it came in at $57.56 million, up 11.2% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $51.77 million in FY2024 (+11.6%), $46.4 million in FY2023 (+11.9%), $41.45 million in FY2022 (+2.8%) and $40.31 million in FY2021 (+6.7%).
- The five-year range for quarterly Operating Expenses is $7.85 million (Q2 2025) to $20.41 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2025 (growth of 35.4%), and the weakest in Q2 2025 (a decline of 29.6%).
- Business Quant data shows VASO's Operating Expenses at $12.91 million (Q1 2026), $20.41 million (Q4 2025) and $12.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Vaso | 50.16 Mn | -79.04 Mn | 8.89 Mn | 7.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.92 Mn |
| Mar 31, 2026 | 12.91 Mn |
| Dec 31, 2025 | 20.41 Mn |
| Sep 30, 2025 | 12.36 Mn |
| Jun 30, 2025 | 7.85 Mn |
| Mar 31, 2025 | 12.58 Mn |
| Dec 31, 2024 | 15.08 Mn |
| Sep 30, 2024 | 13.15 Mn |
| Jun 30, 2024 | 11.16 Mn |
| Mar 31, 2024 | 12.39 Mn |
| Dec 31, 2023 | 13.08 Mn |
| Sep 30, 2023 | 11.14 Mn |
| Jun 30, 2023 | 10.88 Mn |
| Mar 31, 2023 | 11.30 Mn |
| Dec 31, 2022 | 11.44 Mn |
| Sep 30, 2022 | 10.11 Mn |
| Jun 30, 2022 | 9.77 Mn |
| Mar 31, 2022 | 10.12 Mn |
| Dec 31, 2021 | 12.23 Mn |
| Sep 30, 2021 | 9.62 Mn |
API Access
Vaso 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=VASO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VASO", "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=VASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();