Check Point Software Technologies (CHKP) EV to EBITDA (2009 - 2026)
Check Point Software Technologies' (CHKP) EV to EBITDA was 10.74 for the quarter ended Jun 30, 2026, down 50.7% from 21.79 a year earlier and down 8.8% from the prior quarter.
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Analysis
Check Point Software Technologies (CHKP) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Check Point Software Technologies' EV to EBITDA came in at -2.42; for the year ended Dec 31, 2025, it came in at 16.51, down 8.3% from the prior year.
- By year, EV to EBITDA came in at 18.00 in the year ended Dec 31, 2024 (+23.9%), 14.52 in the year ended Dec 31, 2023 (+16.7%), 12.44 in the year ended Dec 31, 2022 (+5.7%) and 11.77 in the year ended Dec 31, 2021 (-23.0%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly EV to EBITDA since the quarter ended Sep 30, 2013.
- Year over year, EV to EBITDA has now declined in each of the last three quarters, with growth averaging 4.4% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was the quarter ended Sep 30, 2024 (growth of 46.9%); the low point was the quarter ended Jun 30, 2026 (a decline of 50.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 11.78 (quarter ended Mar 31, 2026), 16.51 (quarter ended Dec 31, 2025) and 20.47 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 261.96 Bn | 247.03 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 241.31 Bn | 221.72 Bn | 1.10 Bn |
| 3 | Fortinet | 126.60 Bn | 112.52 Bn | 1.64 Bn |
| 4 | Snowflake | 112.82 Bn | 100.14 Bn | 1.04 Bn |
| 5 | Datadog | 97.75 Bn | 79.39 Bn | 881.34 Mn |
| 6 | Zscaler | 36.46 Bn | 22.58 Bn | - |
| 7 | Okta | 35.58 Bn | 25.67 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 31.67 Bn | 26.20 Bn | 546.45 Mn |
| 9 | MongoDB | 30.32 Bn | 20.79 Bn | 569.77 Mn |
| 10 | Check Point Software Technologies | 15.06 Bn | 6.07 Bn | 574.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.85 |
| Mar 31, 2026 | 13.67 |
| Dec 31, 2025 | 18.57 |
| Sep 30, 2025 | 22.23 |
| Jun 30, 2025 | 22.81 |
| Mar 31, 2025 | 23.67 |
| Dec 31, 2024 | 19.84 |
| Sep 30, 2024 | 20.85 |
| Jun 30, 2024 | 17.54 |
| Mar 31, 2024 | 17.40 |
| Dec 31, 2023 | 16.67 |
| Sep 30, 2023 | 15.20 |
| Jun 30, 2023 | 13.87 |
| Mar 31, 2023 | 14.63 |
| Dec 31, 2022 | 15.24 |
| Sep 30, 2022 | 13.24 |
| Jun 30, 2022 | 14.76 |
| Mar 31, 2022 | 16.78 |
| Dec 31, 2021 | 14.75 |
| Sep 30, 2021 | 13.90 |
API Access
Check Point Software Technologies EV to EBITDA 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-ebitda&ticker=CHKP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=CHKP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();