Vaso (VASO) EV to EBITDA (2012 - 2025)
Vaso's (VASO) EV to EBITDA stood at -4.18 in Q3 2025.
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Analysis
Vaso (VASO) EV to EBITDA (2012 - 2025) Analysis & Trends
On a TTM basis, Vaso's EV to EBITDA came in at -29.76 as of Sep 30, 2025; for FY2024, it was -4.68.
- Across earlier years, EV to EBITDA came in at 5.59 in FY2023 (+395.6%), 1.13 in FY2022 (+257.2%), 0.32 in FY2021 and -2.34 in FY2020.
- Quarterly EV to EBITDA has ranged from -24.40 in Q2 2025 to 11.84 in Q2 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at -24.40 (Q2 2025), -0.53 (Q1 2025) and -4.67 (Q4 2024).
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 |
|---|---|
| Sep 30, 2025 | -4.18 |
| Jun 30, 2025 | -24.40 |
| Mar 31, 2025 | -0.53 |
| Dec 31, 2024 | -4.67 |
| Jun 30, 2024 | 11.84 |
| Mar 31, 2024 | 9.19 |
| Dec 31, 2023 | 5.86 |
| Sep 30, 2023 | 6.00 |
| Jun 30, 2023 | 2.02 |
| Mar 31, 2023 | 2.63 |
| Dec 31, 2022 | 1.10 |
| Sep 30, 2022 | 0.05 |
| Jun 30, 2022 | -0.01 |
| Mar 31, 2022 | 1.23 |
| Dec 31, 2021 | 0.32 |
| Sep 30, 2021 | 0.58 |
| Jun 30, 2021 | -2.61 |
| Mar 31, 2021 | -2.53 |
| Dec 31, 2020 | -2.34 |
| Sep 30, 2020 | -1.49 |
API Access
Vaso EV to EBITDA 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=ev-to-ebitda&ticker=VASO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=VASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();