Cohu (COHU) Accumulated Expenses (2023)
Cohu's Accumulated Expenses came in at $400,000 for Q4 2023.
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Analysis
Cohu (COHU) Accumulated Expenses (2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,478.79 Bn | 5,252.95 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,307.33 Bn | 1,926.59 Bn | 27.22 Bn |
| 3 | Broadcom | 1,692.26 Bn | 1,618.31 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,116.28 Bn | 1,021.92 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 970.34 Bn | 927.09 Bn | 6.20 Bn |
| 6 | Asml Holding | 680.68 Bn | 636.37 Bn | 5.90 Bn |
| 7 | Intel | 517.24 Bn | 386.37 Bn | 6.51 Bn |
| 8 | Applied Materials | 395.12 Bn | 360.56 Bn | 4.59 Bn |
| 9 | Lam Research | 388.55 Bn | 365.34 Bn | 3.48 Bn |
| 10 | Cohu | 3.09 Bn | 1.42 Bn | 67.59 Mn |
API Access
Cohu Accumulated Expenses 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=accumulated-expenses&ticker=COHU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=COHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();