Camtek (CAMT) Debt Ratio (2009 - 2025)
Camtek's Debt Ratio was 0.03 in the quarter ended Jun 30, 2025, up 20.5% from 0.03 a year earlier.
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Analysis
Camtek (CAMT) Debt Ratio (2009 - 2025) Analysis & Trends
For the year ended Dec 31, 2024, Debt Ratio at Camtek came in at 0.04, up 483.9% from the prior year.
- In earlier years, Debt Ratio was 0.01 in the year ended Dec 31, 2023.
- Quarterly Debt Ratio has moved between 0.01 (the quarter ended Dec 31, 2023) and 0.04 (the quarter ended Dec 31, 2024) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 0.10 |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 0.02 |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 0.32 |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 0.03 |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 0.04 |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 0.09 |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 0.25 |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 0.16 |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 0.15 |
| 10 | Camtek | 5.90 Bn | 4.79 Bn | 66.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1.56 |
| Dec 31, 2024 | 0.22 |
| Jun 30, 2024 | 0.25 |
| Dec 31, 2023 | 0.25 |
| Jun 30, 2023 | 0.29 |
| Dec 31, 2022 | 0.30 |
| Sep 30, 2017 | 0.02 |
| Sep 30, 2013 | 0.01 |
| Jun 30, 2013 | 0.03 |
| Mar 31, 2013 | 0.06 |
| Dec 31, 2012 | 0.06 |
| Sep 30, 2012 | 0.06 |
| Jun 30, 2012 | 0.05 |
| Mar 31, 2012 | 0.06 |
| Dec 31, 2011 | 0.06 |
| Sep 30, 2011 | 0.06 |
| Jun 30, 2011 | 0.05 |
| Mar 31, 2011 | 0.03 |
| Dec 31, 2010 | 0.03 |
| Sep 30, 2010 | 0.02 |
API Access
Camtek Debt Ratio 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=debt-ratio&ticker=CAMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "CAMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=CAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();