Check Point Software Technologies (CHKP) Price to Sales (2009 - 2026)
Check Point Software Technologies' (CHKP) Price to Sales was 5.02 for the quarter ended Jun 30, 2026, down 44.7% from 9.08 a year earlier and down 8.3% from the prior quarter.
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Analysis
Check Point Software Technologies (CHKP) Price to Sales (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Sales at Check Point Software Technologies was 7.19, down 8.9% from the prior year.
- By year, Price to Sales came in at 7.89 in the year ended Dec 31, 2024 (+10.4%), 7.14 in the year ended Dec 31, 2023 (+9.3%), 6.54 in the year ended Dec 31, 2022 (-5.8%) and 6.94 in the year ended Dec 31, 2021 (-21.4%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Price to Sales in data going back to the quarter ended Mar 31, 2009.
- Year over year, Price to Sales has now declined in each of the last four quarters, with an average decline of 1.8% over the last eight quarters.
- The high point for year-over-year Price to Sales in five years was the quarter ended Sep 30, 2024 (growth of 28.0%); the low point was the quarter ended Jun 30, 2026 (a decline of 44.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 5.47 (quarter ended Mar 31, 2026), 7.19 (quarter ended Dec 31, 2025) and 8.35 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Check Point Software Technologies | 13.76 Bn | -2.25 Bn | 574.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.02 |
| Mar 31, 2026 | 5.47 |
| Dec 31, 2025 | 7.19 |
| Sep 30, 2025 | 8.35 |
| Jun 30, 2025 | 9.08 |
| Mar 31, 2025 | 9.49 |
| Dec 31, 2024 | 7.89 |
| Sep 30, 2024 | 8.62 |
| Jun 30, 2024 | 7.49 |
| Mar 31, 2024 | 7.57 |
| Dec 31, 2023 | 7.14 |
| Sep 30, 2023 | 6.74 |
| Jun 30, 2023 | 6.40 |
| Mar 31, 2023 | 6.67 |
| Dec 31, 2022 | 6.54 |
| Sep 30, 2022 | 6.31 |
| Jun 30, 2022 | 7.00 |
| Mar 31, 2022 | 8.10 |
| Dec 31, 2021 | 6.94 |
| Sep 30, 2021 | 7.27 |
API Access
Check Point Software Technologies Price to Sales 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=price-to-sales&ticker=CHKP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=CHKP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();