Onto Innovation (ONTO) EV to EBITDA (2019 - 2026)
Onto Innovation's (ONTO) EV to EBITDA came in at 76.36 for Q2 2027, up 377.8% from 15.98 a year earlier and up 41.1% from the prior quarter.
Onto Innovation (ONTO) EV to EBITDA (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Onto Innovation was 65.93; for FY2026, it was 39.33.
- In prior years, Onto Innovation's EV to EBITDA was 30.27 in FY2024 (-18.5%), 37.14 in FY2023 (+304.5%) and 9.18 in FY2022.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 54.12 (Q1 2027), 39.33 (Q4 2026) and 24.59 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,765.68 Bn | 5,539.85 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,501.30 Bn | 2,127.00 Bn | 27.22 Bn |
| 3 | Broadcom | 1,794.12 Bn | 1,720.16 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,180.44 Bn | 1,119.20 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,059.85 Bn | 1,016.60 Bn | 6.20 Bn |
| 6 | Asml Holding | 706.89 Bn | 662.73 Bn | 5.90 Bn |
| 7 | Intel | 567.34 Bn | 452.07 Bn | 6.51 Bn |
| 8 | Applied Materials | 420.82 Bn | 386.26 Bn | 4.59 Bn |
| 9 | Lam Research | 417.84 Bn | 394.64 Bn | 3.48 Bn |
| 10 | Onto Innovation | 15.39 Bn | 11.23 Bn | 183.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.36 |
| Mar 31, 2026 | 54.12 |
| Jan 3, 2026 | 39.33 |
| Sep 27, 2025 | 24.59 |
| Jun 28, 2025 | 15.98 |
| Mar 29, 2025 | 19.22 |
| Dec 28, 2024 | 30.27 |
| Sep 28, 2024 | 40.80 |
| Jun 29, 2024 | 45.56 |
| Mar 30, 2024 | 41.58 |
| Dec 30, 2023 | 37.14 |
| Sep 30, 2023 | 26.09 |
| Jul 1, 2023 | 21.25 |
| Apr 1, 2023 | 13.66 |
| Dec 31, 2022 | 9.18 |
| Oct 1, 2022 | 9.79 |
| Jul 2, 2022 | 15.01 |
| Apr 2, 2022 | 29.79 |
| Mar 27, 2021 | 37.08 |
| Dec 26, 2020 | 48.11 |
Onto Innovation 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=ONTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "ONTO", "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=ONTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();