Vaso (VASO) Other Operating Expenses (2014 - 2025)
Vaso's Other Operating Expenses was $4.64 million in Q4 2025.
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Analysis
Vaso (VASO) Other Operating Expenses (2014 - 2025) Analysis & Trends
From Q4 2014 onward, Vaso has reported Other Operating Expenses for 15 quarters.
- In earlier years, Other Operating Expenses was -$81.41 million in FY2021.
- The Q4 2025 figure marks the highest quarterly Other Operating Expenses since Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn |
| 10 | Vaso | 49.30 Mn | -79.90 Mn | 8.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.64 Mn |
| Dec 31, 2021 | -81.41 Mn |
| Mar 31, 2018 | 6.50 Mn |
| Dec 31, 2017 | 6.43 Mn |
| Sep 30, 2017 | 6.31 Mn |
| Jun 30, 2017 | 6.44 Mn |
| Mar 31, 2017 | 5.78 Mn |
| Dec 31, 2016 | 5.71 Mn |
| Sep 30, 2016 | 5.55 Mn |
| Jun 30, 2016 | 6.17 Mn |
| Mar 31, 2016 | 5.72 Mn |
| Dec 31, 2015 | 5.62 Mn |
| Sep 30, 2015 | 5.31 Mn |
| Jun 30, 2015 | 1.61 Mn |
| Dec 31, 2014 | 27,000.00 |
API Access
Vaso Other 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=other-operating-expenses&ticker=VASO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=VASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();