Kla (KLAC) EV to CFO (2009 - 2026)
Kla's (KLAC) EV to CFO was 53.44 for fiscal Q4 2026 (quarter ended Sep 30, 2026).
Analysis
Kla (KLAC) EV to CFO (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), EV to CFO at Kla was 56.46.
- By fiscal year, EV to CFO came in at 28.46 in FY2025 (-13.5%), 32.90 in FY2024 (+87.5%), 17.55 in FY2023 (+33.1%) and 13.18 in FY2022 (-40.1%).
- The fiscal Q4 2026 figure ranks as the highest quarterly EV to CFO in data going back to fiscal Q4 2010.
- Year over year, EV to CFO gained in five of the last seven quarters, with growth averaging 27.2%.
- The high point for year-over-year EV to CFO in five years was fiscal Q4 2024 (growth of 87.5%); the low point was fiscal Q4 2022 (a decline of 40.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 55.24 |
| Jun 30, 2026 | 93.99 |
| Mar 31, 2026 | 42.57 |
| Dec 31, 2025 | 32.32 |
| Sep 30, 2025 | 32.26 |
| Jun 30, 2025 | 27.87 |
| Mar 31, 2025 | 22.54 |
| Dec 31, 2024 | 21.92 |
| Sep 30, 2024 | 28.93 |
| Jun 30, 2024 | 32.14 |
| Mar 31, 2024 | 26.60 |
| Dec 31, 2023 | 21.65 |
| Sep 30, 2023 | 16.66 |
| Jun 30, 2023 | 17.19 |
| Mar 31, 2023 | 14.70 |
| Dec 31, 2022 | 14.78 |
| Sep 30, 2022 | 11.54 |
| Jun 30, 2022 | 12.84 |
| Mar 31, 2022 | 17.59 |
| Dec 31, 2021 | 22.25 |
API Access
Kla EV to CFO 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=ev-to-cfo&ticker=KLAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=KLAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();