Palo Alto Networks (PANW) Other Operating Expenses (2011 - 2026)
Palo Alto Networks (PANW) posted Other Operating Expenses of $1.13 billion for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 35.9% from $829 million a year earlier but down 2.9% 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 came in at $3.93 billion, up 26.8% from FY2025.
- Annual Other Operating Expenses has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 17.5% (FY2021 to FY2026).
- In prior fiscal years, Palo Alto Networks' Other Operating Expenses was $3.1 billion in FY2025 (+11.0%), $2.79 billion in FY2024 (+9.8%), $2.54 billion in FY2023 (+18.4%) and $2.15 billion in FY2022 (+22.5%).
- Quarterly Other Operating Expenses has run from a low of $505.9 million in fiscal Q1 2022 to a high of $1.16 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 40 quarters, with growth averaging 18.6% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 7.4% (fiscal Q1 2024) and 46.4% (fiscal Q3 2026) over the last five years.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $1.16 billion (Q3 2026), $823 million (Q2 2026) and $820 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 277.52 Bn | 262.59 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 249.50 Bn | 229.90 Bn | 1.10 Bn |
| 3 | Fortinet | 133.40 Bn | 119.33 Bn | 1.64 Bn |
| 4 | Snowflake | 117.12 Bn | 104.44 Bn | 1.04 Bn |
| 5 | Datadog | 94.86 Bn | 76.51 Bn | 881.34 Mn |
| 6 | Okta | 36.37 Bn | 26.46 Bn | 641.00 Mn |
| 7 | Zscaler | 35.35 Bn | 21.47 Bn | - |
| 8 | Axon Enterprise | 33.67 Bn | 28.19 Bn | 546.45 Mn |
| 9 | MongoDB | 29.54 Bn | 20.01 Bn | 569.77 Mn |
| 10 | F5 | 25.93 Bn | 20.34 Bn | 711.51 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();