Check Point Software Technologies (CHKP) Change in Accured Expenses (2009 - 2026)
Check Point Software Technologies (CHKP) posted Change in Accured Expenses of -$20 million for the quarter ended Jun 30, 2026, compared with $66.7 million a year earlier.
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Analysis
Check Point Software Technologies (CHKP) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Check Point Software Technologies was -$86.7 million; for the year ended Dec 31, 2025, it came in at -$149.2 million.
- In prior years, Check Point Software Technologies' Change in Accured Expenses was -$12 million in the year ended Dec 31, 2024, -$900,000 in the year ended Dec 31, 2023, -$54.6 million in the year ended Dec 31, 2022 and $66.4 million in the year ended Dec 31, 2021 (+44.0%).
- Quarterly Change in Accured Expenses has run from a low of -$266.3 million in the quarter ended Sep 30, 2025 to a high of $327.5 million in the quarter ended Dec 31, 2025 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$127.9 million (quarter ended Mar 31, 2026), $327.5 million (quarter ended Dec 31, 2025) and -$266.3 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Check Point Software Technologies | 13.76 Bn | -2.25 Bn | 574.10 Mn | -20.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -20.00 Mn |
| Mar 31, 2026 | -127.90 Mn |
| Dec 31, 2025 | 327.50 Mn |
| Sep 30, 2025 | -266.30 Mn |
| Jun 30, 2025 | 66.70 Mn |
| Mar 31, 2025 | -142.10 Mn |
| Dec 31, 2024 | 273.00 Mn |
| Sep 30, 2024 | -91.60 Mn |
| Jun 30, 2024 | 18.90 Mn |
| Mar 31, 2024 | -140.60 Mn |
| Dec 31, 2023 | 270.60 Mn |
| Sep 30, 2023 | -75.80 Mn |
| Jun 30, 2023 | -2.20 Mn |
| Mar 31, 2023 | -127.10 Mn |
| Dec 31, 2022 | 253.30 Mn |
| Sep 30, 2022 | -26.70 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | -66.80 Mn |
| Dec 31, 2021 | 265.10 Mn |
| Sep 30, 2021 | -23.10 Mn |
API Access
Check Point Software Technologies Change in Accured Expenses 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-accured-expenses&ticker=CHKP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=CHKP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();