Cohu (COHU) Total Liabilities (2010 - 2026)
Cohu (COHU) posted Total Liabilities of $483.81 million for Q2 2026, up 169.3% from $179.65 million a year earlier and up 3.8% from the prior quarter.
Cohu (COHU) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cohu's Total Liabilities came in at $457.44 million, up 221.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In prior years, Cohu's Total Liabilities was $142.52 million in FY2024 (-28.8%), $200.18 million in FY2023 (-33.0%), $298.57 million in FY2022 (-20.7%) and $376.54 million in FY2021 (-34.9%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q2 2021.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 73.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 221.0%; the weakest was Q2 2024, with a decline of 39.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $466.04 million (Q1 2026), $457.44 million (Q4 2025) and $190.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,460.77 Bn | 5,234.93 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,294.55 Bn | 1,913.81 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,697.12 Bn | 1,623.17 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,068.24 Bn | 973.87 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 962.53 Bn | 919.27 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 665.34 Bn | 621.03 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 513.90 Bn | 383.03 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 378.42 Bn | 355.22 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 377.51 Bn | 342.95 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Cohu | 3.00 Bn | 1.33 Bn | 67.59 Mn | 483.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 483.81 Mn |
| Mar 28, 2026 | 466.04 Mn |
| Dec 27, 2025 | 457.44 Mn |
| Sep 27, 2025 | 190.18 Mn |
| Jun 28, 2025 | 179.65 Mn |
| Mar 29, 2025 | 147.82 Mn |
| Dec 28, 2024 | 142.52 Mn |
| Sep 28, 2024 | 147.81 Mn |
| Jun 29, 2024 | 142.82 Mn |
| Mar 30, 2024 | 159.09 Mn |
| Dec 30, 2023 | 200.18 Mn |
| Sep 30, 2023 | 221.28 Mn |
| Jul 1, 2023 | 234.67 Mn |
| Apr 1, 2023 | 248.82 Mn |
| Dec 31, 2022 | 298.57 Mn |
| Sep 24, 2022 | 316.10 Mn |
| Jun 25, 2022 | 344.95 Mn |
| Mar 26, 2022 | 356.45 Mn |
| Dec 25, 2021 | 376.54 Mn |
| Sep 25, 2021 | 400.89 Mn |
Cohu Total Liabilities 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=total-liabilities&ticker=COHU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=COHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();