Cohu (COHU) Long-Term Debt Repayments (2017 - 2026)
Cohu's Long-Term Debt Repayments came in at $367,000 for Q2 2026, down 7.3% from $396,000 a year earlier and down 2.1% from the prior quarter.
Cohu (COHU) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Cohu reported Long-Term Debt Repayments of $1.8 million, up 1.4% year-over-year; for FY2025, it came in at $1.73 million, down 94.5% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -46.9% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $31.32 million in FY2024 (-19.2%), $38.79 million in FY2023 (+1.5%), $38.23 million in FY2022 (-81.4%) and $206.07 million in FY2021 (+401.9%).
- The Q2 2026 figure represents the lowest quarterly Long-Term Debt Repayments since Q1 2025.
- Year-over-year, Long-Term Debt Repayments increased in two of the last eight quarters, with an average decline of 4.4%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q4 2022 (growth of 579.5%), and the weakest in Q4 2021 (a decline of 99.1%).
- Business Quant data shows COHU's Long-Term Debt Repayments at $375,000 (Q1 2026), $643,000 (Q4 2025) and $415,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | -8.28 Mn |
| 3 | Broadcom | 1,697.12 Bn | 1,623.17 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 1,068.24 Bn | 973.87 Bn | 47.05 Bn | 663.00 Mn |
| 5 | Advanced Micro Devices | 962.53 Bn | 919.27 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 665.34 Bn | 621.03 Bn | 5.90 Bn | - |
| 7 | Intel | 513.90 Bn | 383.03 Bn | 6.51 Bn | 7.50 Bn |
| 8 | Lam Research | 378.42 Bn | 355.22 Bn | 3.48 Bn | 1.36 Mn |
| 9 | Applied Materials | 377.51 Bn | 342.95 Bn | 4.59 Bn | - |
| 10 | Cohu | 3.00 Bn | 1.33 Bn | 67.59 Mn | 367,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 367,000.00 |
| Mar 28, 2026 | 375,000.00 |
| Dec 27, 2025 | 643,000.00 |
| Sep 27, 2025 | 415,000.00 |
| Jun 28, 2025 | 396,000.00 |
| Mar 29, 2025 | 279,000.00 |
| Dec 28, 2024 | 970,000.00 |
| Sep 28, 2024 | 130,000.00 |
| Jun 29, 2024 | 607,000.00 |
| Mar 30, 2024 | 29.62 Mn |
| Dec 30, 2023 | 1.32 Mn |
| Sep 30, 2023 | 1.01 Mn |
| Jul 1, 2023 | 1.17 Mn |
| Apr 1, 2023 | 35.29 Mn |
| Dec 31, 2022 | 1.29 Mn |
| Sep 24, 2022 | 11.74 Mn |
| Jun 25, 2022 | 16.14 Mn |
| Mar 26, 2022 | 9.06 Mn |
| Dec 25, 2021 | 190,000.00 |
| Sep 25, 2021 | 101.07 Mn |
Cohu Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=COHU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=COHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();