Check Point Software Technologies (CHKP) EPS (Diluted) (2009 - 2026)
Check Point Software Technologies (CHKP) recorded EPS (Diluted) of $1.76 in the quarter ended Jun 30, 2026, down 1.4% from $1.79 a year earlier but up 1.1% from the prior quarter.
Check Point Software Technologies (CHKP) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Check Point Software Technologies' EPS (Diluted) came in at $9.54 as of Jun 30, 2026, up 26.1% year-over-year; for the year ended Dec 31, 2025, it was $9.62, up 28.9% from the prior year.
- Annual EPS (Diluted) has increased for 16 straight years, with a five-year compound annual growth rate of 10.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EPS (Diluted) came in at $7.46 in the year ended Dec 31, 2024 (+5.0%), $7.10 in the year ended Dec 31, 2023 (+12.6%), $6.31 in the year ended Dec 31, 2022 (+3.7%) and $6.08 in the year ended Dec 31, 2021 (+2.0%).
- Quarterly EPS (Diluted) has ranged from $1.26 in the quarter ended Mar 31, 2022 to $3.16 in the quarter ended Sep 30, 2025 over the past five years.
- On a year-over-year basis, EPS (Diluted) rose in seven of the last eight quarters, with growth averaging 17.0%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 80.9% in the quarter ended Sep 30, 2025, against a decline of 1.9% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.74 (quarter ended Mar 31, 2026), $2.77 (quarter ended Dec 31, 2025) and $3.16 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | -0.37 |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 0.01 |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 0.82 |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -0.55 |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.12 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 0.36 |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 0.65 |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 7.94 |
| 10 | Check Point Software Technologies | 13.65 Bn | -2.36 Bn | 574.10 Mn | 1.76 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.76 |
| Mar 31, 2026 | 1.74 |
| Dec 31, 2025 | 2.77 |
| Sep 30, 2025 | 3.16 |
| Jun 30, 2025 | 1.79 |
| Mar 31, 2025 | 1.68 |
| Dec 31, 2024 | 2.27 |
| Sep 30, 2024 | 1.75 |
| Jun 30, 2024 | 1.67 |
| Mar 31, 2024 | 1.55 |
| Dec 31, 2023 | 2.11 |
| Sep 30, 2023 | 1.62 |
| Jun 30, 2023 | 1.60 |
| Mar 31, 2023 | 1.46 |
| Dec 31, 2022 | 2.14 |
| Sep 30, 2022 | 1.37 |
| Jun 30, 2022 | 1.29 |
| Mar 31, 2022 | 1.26 |
| Dec 31, 2021 | 1.94 |
| Sep 30, 2021 | 1.32 |
Check Point Software Technologies EPS (Diluted) 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=eps-diluted&ticker=CHKP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=CHKP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();