Cohu (COHU) EV to EBITDA (2011 - 2026)
Cohu's (COHU) EV to EBITDA was 232.51 for Q2 2026.
Analysis
Cohu (COHU) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Cohu's EV to EBITDA came in at 132.70; for FY2023, it came in at 14.75, up 114.6% from FY2022.
- By year, EV to EBITDA came in at 6.87 in FY2022 (+17.5%), 5.85 in FY2021 (-77.1%), 25.61 in FY2020 (-78.2%) and 117.23 in FY2019.
- The Q2 2026 figure ranks as the highest quarterly EV to EBITDA in data going back to Q2 2011.
- The high point for year-over-year EV to EBITDA in five years was Q2 2024 (growth of 328.9%); the low point was Q3 2021 (a decline of 77.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,466.75 Bn | 5,240.91 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,296.83 Bn | 1,916.09 Bn | 27.22 Bn |
| 3 | Broadcom | 1,698.27 Bn | 1,624.31 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,069.84 Bn | 975.48 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 962.55 Bn | 919.30 Bn | 6.20 Bn |
| 6 | Asml Holding | 666.37 Bn | 622.06 Bn | 5.90 Bn |
| 7 | Intel | 513.21 Bn | 382.34 Bn | 6.51 Bn |
| 8 | Lam Research | 380.00 Bn | 356.80 Bn | 3.48 Bn |
| 9 | Applied Materials | 378.94 Bn | 344.38 Bn | 4.59 Bn |
| 10 | Cohu | 3.00 Bn | 1.33 Bn | 67.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 210.36 |
| Sep 28, 2024 | 175.38 |
| Jun 29, 2024 | 49.12 |
| Mar 30, 2024 | 23.24 |
| Dec 30, 2023 | 14.73 |
| Sep 30, 2023 | 10.84 |
| Jul 1, 2023 | 11.47 |
| Apr 1, 2023 | 9.41 |
| Dec 31, 2022 | 6.86 |
| Sep 24, 2022 | 5.55 |
| Jun 25, 2022 | 6.06 |
| Mar 26, 2022 | 4.78 |
| Dec 25, 2021 | 5.84 |
| Sep 25, 2021 | 4.87 |
| Jun 26, 2021 | 5.66 |
| Mar 27, 2021 | 15.67 |
| Dec 26, 2020 | 25.09 |
| Sep 26, 2020 | 20.85 |
| Jun 27, 2020 | 22.47 |
| Mar 28, 2020 | 36.47 |
API Access
Cohu 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=COHU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "COHU", "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=COHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();