Kla (KLAC) Selling, General & Administrative (2009 - 2026)
Kla (KLAC) recorded Selling, General & Administrative of $291.48 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 11.0% from $262.71 million a year earlier and up 0.1% from the prior quarter.
Kla (KLAC) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kla reported Selling, General & Administrative of $1.13 billion, up 9.9% from FY2025.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 9.2% (FY2021 to FY2026).
- Across earlier fiscal years, Selling, General & Administrative came in at $1.03 billion in FY2025 (+6.2%), $969.51 million in FY2024 (-1.7%), $986.33 million in FY2023 (+14.7%) and $860.01 million in FY2022 (+17.9%).
- The fiscal Q4 2026 figure is the highest quarterly Selling, General & Administrative in data going back to fiscal Q1 2010.
- On a year-over-year basis, Selling, General & Administrative has increased for nine consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 31.4% in fiscal Q1 2023, against a decline of 5.6% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $291.13 million (Q3 2026), $279.92 million (Q2 2026) and $268.99 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 407.00 Mn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 1.40 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | - |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 1.18 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 322.33 Mn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 162.00 Mn |
| 10 | Kla | 261.83 Bn | 253.99 Bn | 2.24 Bn | 291.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 291.48 Mn |
| Mar 31, 2026 | 291.13 Mn |
| Dec 31, 2025 | 279.92 Mn |
| Sep 30, 2025 | 268.99 Mn |
| Jun 30, 2025 | 262.71 Mn |
| Mar 31, 2025 | 248.91 Mn |
| Dec 31, 2024 | 267.08 Mn |
| Sep 30, 2024 | 251.04 Mn |
| Jun 30, 2024 | 255.11 Mn |
| Mar 31, 2024 | 237.51 Mn |
| Dec 31, 2023 | 237.24 Mn |
| Sep 30, 2023 | 239.65 Mn |
| Jun 30, 2023 | 250.86 Mn |
| Mar 31, 2023 | 238.39 Mn |
| Dec 31, 2022 | 243.10 Mn |
| Sep 30, 2022 | 253.98 Mn |
| Jun 30, 2022 | 236.78 Mn |
| Mar 31, 2022 | 216.49 Mn |
| Dec 31, 2021 | 213.48 Mn |
| Sep 30, 2021 | 193.26 Mn |
Kla Selling, General & Administrative 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=selling-general-and-administrative&ticker=KLAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=KLAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();