Kla (KLAC) Current Taxes (2009 - 2026)
Kla's Current Taxes was $21.37 million in fiscal Q2 2011 (quarter ended Dec 31, 2010), down 30.0% from the prior quarter.
Analysis
Kla (KLAC) Current Taxes (2009 - 2026) Analysis & Trends
At the end of FY2010 (ended Jun 30, 2010), Current Taxes at Kla came in at $35.34 million.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 7.31 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | - |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | - |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | - |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 571.62 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | - |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Kla | 198.47 Bn | 178.66 Bn | 2.56 Bn | 142.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 142.28 Mn |
| Jun 30, 2026 | 84.00 Mn |
| Mar 31, 2026 | 117.23 Mn |
| Dec 31, 2025 | 159.41 Mn |
| Sep 30, 2025 | 199.97 Mn |
| Jun 30, 2025 | 167.26 Mn |
| Jun 30, 2024 | 146.74 Mn |
| Sep 30, 2023 | 517.77 Mn |
| Jun 30, 2023 | 383.01 Mn |
| Jun 30, 2022 | 126.96 Mn |
| Jun 30, 2018 | 72.00 Mn |
| Mar 31, 2018 | 70.93 Mn |
| Dec 31, 2017 | 67.93 Mn |
| Sep 30, 2017 | 60.46 Mn |
| Jun 30, 2017 | 59.71 Mn |
| Mar 31, 2017 | 62.52 Mn |
| Dec 31, 2016 | 62.62 Mn |
| Sep 30, 2016 | 60.28 Mn |
| Jun 30, 2016 | 56.34 Mn |
| Mar 31, 2016 | 51.07 Mn |
API Access
Kla Current Taxes 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=current-taxes&ticker=KLAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "ticker": "KLAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=current-taxes&ticker=KLAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();