Palo Alto Networks (PANW) Other Operating Expenses (2011 - 2026)
Palo Alto Networks' Other Operating Expenses came in at $1.91 billion for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 43.0% from $1.33 billion a year earlier and up 0.6% from the prior quarter.
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Analysis
Palo Alto Networks (PANW) Other Operating Expenses (2011 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Palo Alto Networks' Other Operating Expenses was $6.48 billion, up 27.5% from FY2025.
- Other Operating Expenses has increased in each of the last 15 fiscal years, with a five-year compound annual growth rate of 17.5% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was $5.08 billion in FY2025 (+10.4%), $4.6 billion in FY2024 (+11.0%), $4.15 billion in FY2023 (+16.3%) and $3.57 billion in FY2022 (+23.2%).
- The fiscal Q4 2026 figure represents the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2012.
- Year-over-year, Other Operating Expenses has increased for 45 consecutive quarters, with growth averaging 18.8% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 5.6% (fiscal Q2 2026) and 47.2% (fiscal Q3 2026) over the last five years.
- Business Quant data shows PANW's Other Operating Expenses at $1.9 billion (Q3 2026), $1.33 billion (Q2 2026) and $1.35 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 239.80 Bn | 224.87 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.32 Bn | 201.72 Bn | 1.10 Bn |
| 3 | Snowflake | 95.32 Bn | 82.64 Bn | 1.04 Bn |
| 4 | Fortinet | 91.37 Bn | 75.63 Bn | 1.64 Bn |
| 5 | Datadog | 62.68 Bn | 43.23 Bn | 959.92 Mn |
| 6 | Axon Enterprise | 33.44 Bn | 27.96 Bn | 546.45 Mn |
| 7 | Zscaler | 33.36 Bn | 19.52 Bn | 689.22 Mn |
| 8 | Okta | 29.92 Bn | 20.01 Bn | 641.00 Mn |
| 9 | MongoDB | 24.20 Bn | 14.66 Bn | 569.77 Mn |
| 10 | Roku | 23.96 Bn | 13.98 Bn | 648.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.13 Bn |
| Apr 30, 2026 | 1.16 Bn |
| Jan 31, 2026 | 823.00 Mn |
| Oct 31, 2025 | 820.00 Mn |
| Jul 31, 2025 | 829.00 Mn |
| Apr 30, 2025 | 793.00 Mn |
| Jan 31, 2025 | 758.00 Mn |
| Oct 31, 2024 | 720.00 Mn |
| Jul 31, 2024 | 741.80 Mn |
| Apr 30, 2024 | 718.70 Mn |
| Jan 31, 2024 | 673.00 Mn |
| Oct 31, 2023 | 660.50 Mn |
| Jul 31, 2023 | 664.00 Mn |
| Apr 30, 2023 | 639.50 Mn |
| Jan 31, 2023 | 625.50 Mn |
| Oct 31, 2022 | 615.00 Mn |
| Jul 31, 2022 | 570.60 Mn |
| Apr 30, 2022 | 543.60 Mn |
| Jan 31, 2022 | 528.80 Mn |
| Oct 31, 2021 | 505.90 Mn |
API Access
Palo Alto Networks Other Operating 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=other-operating-expenses&ticker=PANW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();