Cohu (COHU) Amortizatization of Intangibles (2020 - 2026)
Cohu (COHU) recorded Amortizatization of Intangibles of $700,000 in Q2 2026, unchanged from $700,000 a year earlier and down 1.3% from the prior quarter.
Cohu (COHU) Amortizatization of Intangibles (2020 - 2026) Analysis & Trends
On a TTM basis, Cohu's Amortizatization of Intangibles came in at $2.82 million as of Jun 27, 2026, unchanged year-over-year; for FY2025, it was $2.84 million, unchanged from FY2024.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $2.84 million in FY2024 (+1.3%), $2.8 million in FY2023 (+35.9%), $2.06 million in FY2022 (+25.3%) and $1.64 million in FY2021 (+38.0%).
- Quarterly Amortizatization of Intangibles has ranged from $400,000 in Q3 2021 to $709,000 in Q1 2026 over the past five years.
- On a year-over-year basis, Amortizatization of Intangibles rose in 1 of the last eight quarters, with growth averaging 0.2%.
- The year-over-year growth in Amortizatization of Intangibles has ranged between 0.0% (Q3 2022) and 75.0% (Q3 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $709,000 (Q1 2026), $709,000 (Q4 2025) and $700,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,460.77 Bn | 5,234.93 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,294.55 Bn | 1,913.81 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,697.12 Bn | 1,623.17 Bn | 20.46 Bn | 2.04 Bn |
| 4 | Micron Technology | 1,068.24 Bn | 973.87 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 962.53 Bn | 919.27 Bn | 6.20 Bn | 544.00 Mn |
| 6 | Asml Holding | 665.34 Bn | 621.03 Bn | 5.90 Bn | - |
| 7 | Intel | 513.90 Bn | 383.03 Bn | 6.51 Bn | 235.00 Mn |
| 8 | Lam Research | 378.42 Bn | 355.22 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 377.51 Bn | 342.95 Bn | 4.59 Bn | - |
| 10 | Cohu | 3.00 Bn | 1.33 Bn | 67.59 Mn | 700,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 700,000.00 |
| Mar 28, 2026 | 709,000.00 |
| Dec 27, 2025 | 709,000.00 |
| Sep 27, 2025 | 700,000.00 |
| Jun 28, 2025 | 700,000.00 |
| Mar 29, 2025 | 709,000.00 |
| Dec 28, 2024 | 709,000.00 |
| Sep 28, 2024 | 700,000.00 |
| Jun 29, 2024 | 700,000.00 |
| Mar 30, 2024 | 709,000.00 |
| Dec 30, 2023 | 700,000.00 |
| Sep 30, 2023 | 700,000.00 |
| Jul 1, 2023 | 700,000.00 |
| Apr 1, 2023 | 700,000.00 |
| Dec 31, 2022 | 626,000.00 |
| Sep 24, 2022 | 400,000.00 |
| Jun 25, 2022 | 500,000.00 |
| Mar 26, 2022 | 500,000.00 |
| Dec 25, 2021 | 444,000.00 |
| Sep 25, 2021 | 400,000.00 |
Cohu Amortizatization of 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=amortizatization-of-intangibles&ticker=COHU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=COHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();