Camtek (CAMT) Operating Expenses (2009 - 2026)
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Analysis
Camtek (CAMT) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.77 Mn |
| Jun 30, 2026 | 39.48 Mn |
| Mar 31, 2026 | 33.66 Mn |
| Dec 31, 2025 | 32.42 Mn |
| Sep 30, 2025 | 31.20 Mn |
| Jun 30, 2025 | 30.64 Mn |
| Mar 31, 2025 | 27.86 Mn |
| Dec 31, 2024 | 26.83 Mn |
| Sep 30, 2024 | 26.21 Mn |
| Jun 30, 2024 | 25.26 Mn |
| Mar 31, 2024 | 23.49 Mn |
| Dec 31, 2023 | 22.57 Mn |
| Sep 30, 2023 | 19.94 Mn |
| Jun 30, 2023 | 20.04 Mn |
| Mar 31, 2023 | 19.67 Mn |
| Dec 31, 2022 | 19.49 Mn |
| Sep 30, 2022 | 19.22 Mn |
| Jun 30, 2022 | 19.32 Mn |
| Mar 31, 2022 | 20.33 Mn |
| Dec 31, 2021 | 18.27 Mn |
API Access
Camtek Operating 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=operating-expenses&ticker=CAMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();