Kla (KLAC) Operating Expenses (2009 - 2026)
Kla (KLAC) reported Operating Expenses of $690.5 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 12.1% from $615.7 million a year earlier and up 1.6% from the prior quarter.
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Analysis
Kla (KLAC) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kla posted Operating Expenses of $2.66 billion, up 11.4% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 9.9% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $2.39 billion in FY2025 (+6.3%), $2.25 billion in FY2024 (-1.5%), $2.28 billion in FY2023 (+16.2%) and $1.97 billion in FY2022 (+18.5%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Year over year, Operating Expenses has now increased in each of the last nine quarters, with growth averaging 8.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2023 (growth of 26.8%); the low point was fiscal Q1 2024 (a decline of 3.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $679.9 million (Q3 2026), $663.79 million (Q2 2026) and $629.45 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | - |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Kla | 261.83 Bn | 253.99 Bn | 2.24 Bn | 690.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 690.50 Mn |
| Mar 31, 2026 | 679.90 Mn |
| Dec 31, 2025 | 663.79 Mn |
| Sep 30, 2025 | 629.45 Mn |
| Jun 30, 2025 | 615.70 Mn |
| Mar 31, 2025 | 586.95 Mn |
| Dec 31, 2024 | 613.24 Mn |
| Sep 30, 2024 | 574.19 Mn |
| Jun 30, 2024 | 580.87 Mn |
| Mar 31, 2024 | 559.10 Mn |
| Dec 31, 2023 | 557.66 Mn |
| Sep 30, 2023 | 550.86 Mn |
| Jun 30, 2023 | 567.97 Mn |
| Mar 31, 2023 | 566.67 Mn |
| Dec 31, 2022 | 575.92 Mn |
| Sep 30, 2022 | 572.50 Mn |
| Jun 30, 2022 | 533.66 Mn |
| Mar 31, 2022 | 501.68 Mn |
| Dec 31, 2021 | 478.51 Mn |
| Sep 30, 2021 | 451.41 Mn |
API Access
Kla 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=KLAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=KLAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();