Palo Alto Networks (PANW) Change in Accured Expenses (2011 - 2026)
Palo Alto Networks (PANW) reported Change in Accured Expenses of $369 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 88.3% from $196 million a year earlier.
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Analysis
Palo Alto Networks (PANW) Change in Accured Expenses (2011 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Palo Alto Networks posted Change in Accured Expenses of $327 million, up 122.4% from FY2025.
- Change in Accured Expenses has a five-year compound annual growth rate of 25.5% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at $147 million in FY2025 (-61.8%), $385 million in FY2024 (+356.2%), $84.4 million in FY2023 and -$44.9 million in FY2022.
- The fiscal Q4 2026 figure ranks as the highest quarterly Change in Accured Expenses since fiscal Q2 2024.
- Year over year, Change in Accured Expenses gained in three of the last six quarters, with an average decline of 8.3%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q4 2023 (growth of 893.2%); the low point was fiscal Q4 2022 (a decline of 88.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $5 million (Q3 2026), $163 million (Q2 2026) and -$210 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.78 Bn | 250.85 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 239.93 Bn | 220.33 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 128.75 Bn | 114.68 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 110.97 Bn | 98.29 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 90.34 Bn | 71.98 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Zscaler | 34.24 Bn | 20.36 Bn | - | - |
| 7 | Okta | 34.21 Bn | 24.31 Bn | 641.00 Mn | 38.00 Mn |
| 8 | Axon Enterprise | 33.02 Bn | 27.55 Bn | 546.45 Mn | 256.58 Mn |
| 9 | MongoDB | 27.98 Bn | 18.45 Bn | 569.77 Mn | 43.09 Mn |
| 10 | F5 | 25.43 Bn | 19.84 Bn | 711.51 Mn | 61.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 369.00 Mn |
| Apr 30, 2026 | 5.00 Mn |
| Jan 31, 2026 | 163.00 Mn |
| Oct 31, 2025 | -210.00 Mn |
| Jul 31, 2025 | 196.00 Mn |
| Apr 30, 2025 | 14.00 Mn |
| Jan 31, 2025 | 138.00 Mn |
| Oct 31, 2024 | -201.00 Mn |
| Jul 31, 2024 | 157.60 Mn |
| Apr 30, 2024 | 27.60 Mn |
| Jan 31, 2024 | 416.70 Mn |
| Oct 31, 2023 | -216.90 Mn |
| Jul 31, 2023 | 203.60 Mn |
| Apr 30, 2023 | -5.30 Mn |
| Jan 31, 2023 | 78.40 Mn |
| Oct 31, 2022 | -192.30 Mn |
| Jul 31, 2022 | 20.50 Mn |
| Apr 30, 2022 | 35.40 Mn |
| Jan 31, 2022 | 79.00 Mn |
| Oct 31, 2021 | -179.80 Mn |
API Access
Palo Alto Networks 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=PANW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PANW", "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=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();