Kla (KLAC) Change in Inventory (2009 - 2026)
Kla (KLAC) recorded Change in Inventory of $212.3 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 337.6% from $48.52 million a year earlier and up 33.4% from the prior quarter.
Kla (KLAC) Change in Inventory (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kla reported Change in Inventory of $465.96 million, up 200.3% from FY2025.
- Annual Change in Inventory has a five-year compound annual growth rate of 11.5% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Inventory came in at $155.17 million in FY2025 (-5.4%), $164.09 million in FY2024 (-78.1%), $749.05 million in FY2023 (+32.1%) and $567 million in FY2022 (+109.9%).
- The fiscal Q4 2026 figure is the highest quarterly Change in Inventory since fiscal Q1 2023.
- On a year-over-year basis, Change in Inventory rose in four of the last five quarters, with growth averaging 86.3%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 358.1% in fiscal Q3 2022, against a decline of 83.4% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $159.14 million (Q3 2026), -$1.21 million (Q2 2026) and $95.74 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 5.78 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 195.00 Mn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 300.00 Mn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 423.00 Mn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | - |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 66.00 Mn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 208.00 Mn |
| 10 | Kla | 261.83 Bn | 253.99 Bn | 2.24 Bn | 212.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 212.30 Mn |
| Mar 31, 2026 | 159.14 Mn |
| Dec 31, 2025 | -1.21 Mn |
| Sep 30, 2025 | 95.74 Mn |
| Jun 30, 2025 | 48.52 Mn |
| Mar 31, 2025 | 112.28 Mn |
| Dec 31, 2024 | -64.96 Mn |
| Sep 30, 2024 | 59.33 Mn |
| Jun 30, 2024 | 32.84 Mn |
| Mar 31, 2024 | -28.36 Mn |
| Dec 31, 2023 | 21.19 Mn |
| Sep 30, 2023 | 138.42 Mn |
| Jun 30, 2023 | 144.65 Mn |
| Mar 31, 2023 | 211.22 Mn |
| Dec 31, 2022 | 127.65 Mn |
| Sep 30, 2022 | 265.53 Mn |
| Jun 30, 2022 | 170.60 Mn |
| Mar 31, 2022 | 156.51 Mn |
| Dec 31, 2021 | 101.70 Mn |
| Sep 30, 2021 | 138.19 Mn |
Kla Change in Inventory 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=change-in-inventory&ticker=KLAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=KLAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();