Check Point Software Technologies (CHKP) Change in Receivables (2009 - 2026)
Check Point Software Technologies' Change in Receivables was -$17.1 million in Q3 2026, compared with $45.4 million a year earlier.
Check Point Software Technologies (CHKP) Change in Receivables (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Check Point Software Technologies' Change in Receivables was $534.9 million through Sep 30, 2026, down 15.9% year-over-year; for FY2025, it was $38 million, down 42.3% from FY2024.
- Change in Receivables shows a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In earlier years, Change in Receivables was $65.9 million in FY2024 (+565.7%), $9.9 million in FY2023 (-78.5%), $46.1 million in FY2022 (-10.7%) and $51.6 million in FY2021 (+14.7%).
- Quarterly Change in Receivables has moved between -$332.7 million (Q4 2022) and $336.4 million (Q4 2024) over five years.
- Compared with a year earlier, Change in Receivables was higher in 1 of the last four quarters, with an average decline of 4.8%.
- The best year-over-year quarter for Change in Receivables over five years was Q3 2024 (growth of 78.0%); the worst was Q3 2025 (a decline of 33.0%).
- Per Business Quant data, CHKP's Change in Receivables in the three quarters before Q3 2026 was -$79.6 million (Q2 2026), $300.2 million (Q1 2026) and $331.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 146.59 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 4.00 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | -24.86 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 420.03 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 83.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 305.83 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 69.26 Mn |
| 10 | Check Point Software Technologies | 15.47 Bn | -1.83 Bn | 571.70 Mn | -17.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -17.10 Mn |
| Jun 30, 2026 | -79.60 Mn |
| Mar 31, 2026 | 300.20 Mn |
| Dec 31, 2025 | 331.40 Mn |
| Sep 30, 2025 | 45.40 Mn |
| Jun 30, 2025 | -75.00 Mn |
| Mar 31, 2025 | 329.40 Mn |
| Dec 31, 2024 | 336.40 Mn |
| Sep 30, 2024 | 67.80 Mn |
| Jun 30, 2024 | -75.00 Mn |
| Mar 31, 2024 | 265.40 Mn |
| Dec 31, 2023 | -324.30 Mn |
| Sep 30, 2023 | 38.10 Mn |
| Jun 30, 2023 | -59.90 Mn |
| Mar 31, 2023 | 285.10 Mn |
| Dec 31, 2022 | -332.70 Mn |
| Sep 30, 2022 | 41.00 Mn |
| Jun 30, 2022 | -6.50 Mn |
| Mar 31, 2022 | 253.40 Mn |
| Dec 31, 2021 | -269.20 Mn |
Check Point Software Technologies Change in Receivables 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=change-in-receivables&ticker=CHKP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=CHKP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();