Cohu (COHU) Amortization - Intangibles (2017 - 2026)
Cohu (COHU) recorded Amortization - Intangibles of $7.3 million in Q2 2026, down 27.6% from $10.08 million a year earlier and unchanged from the prior quarter.
Cohu (COHU) Amortization - Intangibles (2017 - 2026) Analysis & Trends
On a TTM basis, Cohu's Amortization - Intangibles came in at $32.15 million as of Jun 27, 2026, down 18.7% year-over-year; for FY2025, it came in at $37.5 million, down 4.1% from FY2024.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $39.1 million in FY2024 (+7.4%), $36.4 million in FY2023 (+9.6%), $33.2 million in FY2022 (-6.3%) and $35.41 million in FY2021 (-8.6%).
- Quarterly Amortization - Intangibles has ranged from $7.3 million in Q4 2025 to $10.25 million in Q3 2025 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has declined for three consecutive quarters, with an average decline of 7.5% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 20.8% in Q4 2023, against a decline of 27.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.3 million (Q1 2026), $7.3 million (Q4 2025) and $10.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,444.44 Bn | 5,218.60 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,287.55 Bn | 1,906.81 Bn | 27.22 Bn |
| 3 | Broadcom | 1,688.50 Bn | 1,614.54 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,061.98 Bn | 967.61 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 960.58 Bn | 917.33 Bn | 6.20 Bn |
| 6 | Asml Holding | 666.68 Bn | 622.37 Bn | 5.90 Bn |
| 7 | Intel | 511.98 Bn | 381.12 Bn | 6.51 Bn |
| 8 | Applied Materials | 378.43 Bn | 343.87 Bn | 4.59 Bn |
| 9 | Lam Research | 377.92 Bn | 354.72 Bn | 3.48 Bn |
| 10 | Cohu | 3.01 Bn | 1.34 Bn | 67.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.30 Mn |
| Mar 28, 2026 | 7.30 Mn |
| Dec 27, 2025 | 7.30 Mn |
| Sep 27, 2025 | 10.25 Mn |
| Jun 28, 2025 | 10.08 Mn |
| Mar 29, 2025 | 9.90 Mn |
| Dec 28, 2024 | 9.77 Mn |
| Sep 28, 2024 | 9.80 Mn |
| Jun 29, 2024 | 9.75 Mn |
| Mar 30, 2024 | 9.80 Mn |
| Dec 30, 2023 | 9.78 Mn |
| Sep 30, 2023 | 8.90 Mn |
| Jul 1, 2023 | 9.01 Mn |
| Apr 1, 2023 | 8.80 Mn |
| Dec 31, 2022 | 8.10 Mn |
| Sep 24, 2022 | 8.21 Mn |
| Jun 25, 2022 | 8.34 Mn |
| Mar 26, 2022 | 8.54 Mn |
| Dec 25, 2021 | 8.21 Mn |
| Sep 25, 2021 | 8.90 Mn |
Cohu Amortization - Intangibles 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=amortization-intangibles&ticker=COHU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=COHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();