Check Point Software Technologies (CHKP) Amortization - Intangibles (2009 - 2026)
Check Point Software Technologies (CHKP) reported Amortization - Intangibles of $10.4 million for Q3 2026, up 25.3% from $8.3 million a year earlier and unchanged from the prior quarter.
Check Point Software Technologies (CHKP) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Check Point Software Technologies' Amortization - Intangibles came in at $40.1 million, up 28.1% year-over-year; for FY2025, it came in at $32.5 million, up 30.0% from FY2024.
- Amortization - Intangibles has increased for eight consecutive years, with a five-year compound annual growth rate of 37.6% (FY2020 to FY2025).
- By year, Amortization - Intangibles came in at $25 million in FY2024 (+78.6%), $14 million in FY2023 (+17.6%), $11.9 million in FY2022 (+40.0%) and $8.5 million in FY2021 (+28.8%).
- Five-year quarterly Amortization - Intangibles spans a low of $2.4 million in Q2 2023 and a high of $10.5 million in Q1 2026.
- Year over year, Amortization - Intangibles has now increased in each of the last 13 quarters, with growth averaging 31.5% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was Q2 2024 (growth of 141.7%); the low point was Q2 2023 (a decline of 17.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $10.4 million (Q2 2026), $10.5 million (Q1 2026) and $8.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Check Point Software Technologies | 15.47 Bn | -1.83 Bn | 571.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.40 Mn |
| Jun 30, 2026 | 10.40 Mn |
| Mar 31, 2026 | 10.50 Mn |
| Dec 31, 2025 | 8.80 Mn |
| Sep 30, 2025 | 8.30 Mn |
| Jun 30, 2025 | 7.80 Mn |
| Mar 31, 2025 | 7.60 Mn |
| Dec 31, 2024 | 7.60 Mn |
| Sep 30, 2024 | 5.80 Mn |
| Jun 30, 2024 | 5.80 Mn |
| Mar 31, 2024 | 5.80 Mn |
| Dec 31, 2023 | 5.80 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 2.40 Mn |
| Mar 31, 2023 | 2.80 Mn |
| Dec 31, 2022 | 2.90 Mn |
| Sep 30, 2022 | 2.90 Mn |
| Jun 30, 2022 | 2.90 Mn |
| Mar 31, 2022 | 3.20 Mn |
| Dec 31, 2021 | 2.90 Mn |
Check Point Software Technologies Amortization - Intangibles 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=amortization-intangibles&ticker=CHKP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=CHKP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();