Kla (KLAC) Acquisitions (2017 - 2024)
Kla's Acquisitions came in at $3.68 million for FY2024 (year ended Jun 30, 2024), down 86.4% from $27.14 million in FY2023.
Analysis
Kla (KLAC) Acquisitions (2017 - 2024) Analysis & Trends
Going back to FY2009, Kla's Acquisitions data covers 10 fiscal years.
- Acquisitions carries a five-year compound annual growth rate of -71.1% (FY2019 to FY2024).
- The FY2024 figure represents the lowest annual Acquisitions since FY2010.
- Per Business Quant, earlier fiscal years put Acquisitions at $27.14 million in FY2023 (-94.3%), $479.11 million in FY2022 and $90.14 million in FY2020 (-95.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 211.00 Mn |
| 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 | - |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | - |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | - |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 87.00 Mn |
| 10 | Kla | 261.83 Bn | 253.99 Bn | 2.24 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 3.68 Mn |
| Sep 30, 2022 | 27.14 Mn |
| Jun 30, 2022 | 8.23 Mn |
| Mar 31, 2022 | 432.90 Mn |
| Sep 30, 2021 | 37.99 Mn |
| Jun 30, 2020 | 11.54 Mn |
| Mar 31, 2020 | 70,000.00 |
| Sep 30, 2019 | 78.53 Mn |
| Mar 31, 2019 | 1.81 Bn |
| Sep 30, 2018 | 11.79 Mn |
| Jun 30, 2018 | 11.91 Mn |
| Dec 31, 2017 | 4.78 Mn |
| Sep 30, 2017 | 710,000.00 |
| Jun 30, 2017 | 28.56 Mn |
API Access
Kla Acquisitions 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=acquisitions&ticker=KLAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=KLAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();