Check Point Software Technologies (CHKP) EV to EBIT (2009 - 2026)
Check Point Software Technologies' (CHKP) EV to EBIT stood at 11.84 in the quarter ended Jun 30, 2026, down 50.9% from 24.14 a year earlier and down 9.2% from the prior quarter.
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Analysis
Check Point Software Technologies (CHKP) EV to EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Check Point Software Technologies' EV to EBIT came in at -2.66 as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at 18.35, down 6.9% from the prior year.
- Across earlier years, EV to EBIT came in at 19.72 in the year ended Dec 31, 2024 (+29.0%), 15.29 in the year ended Dec 31, 2023 (+18.1%), 12.95 in the year ended Dec 31, 2022 (+6.4%) and 12.17 in the year ended Dec 31, 2021 (-22.7%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly EV to EBIT since the quarter ended Sep 30, 2016.
- On a year-over-year basis, EV to EBIT has declined for three consecutive quarters, with growth averaging 7.4% over the last eight quarters.
- Peak year-over-year performance for EV to EBIT in the last five years was growth of 53.5% in the quarter ended Sep 30, 2024, against a decline of 50.9% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 13.04 (quarter ended Mar 31, 2026), 18.35 (quarter ended Dec 31, 2025) and 22.88 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Check Point Software Technologies | 13.65 Bn | -2.36 Bn | 574.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.84 |
| Mar 31, 2026 | 13.04 |
| Dec 31, 2025 | 18.35 |
| Sep 30, 2025 | 22.88 |
| Jun 30, 2025 | 24.14 |
| Mar 31, 2025 | 24.80 |
| Dec 31, 2024 | 19.82 |
| Sep 30, 2024 | 21.42 |
| Jun 30, 2024 | 17.67 |
| Mar 31, 2024 | 17.33 |
| Dec 31, 2023 | 15.86 |
| Sep 30, 2023 | 13.96 |
| Jun 30, 2023 | 12.88 |
| Mar 31, 2023 | 13.67 |
| Dec 31, 2022 | 13.19 |
| Sep 30, 2022 | 12.31 |
| Jun 30, 2022 | 13.55 |
| Mar 31, 2022 | 15.73 |
| Dec 31, 2021 | 12.35 |
| Sep 30, 2021 | 12.60 |
API Access
Check Point Software Technologies EV to EBIT 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-ebit&ticker=CHKP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "ticker": "CHKP", "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-ebit&ticker=CHKP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();