Palo Alto Networks (PANW) Operating Expenses (2011 - 2026)
Palo Alto Networks' (PANW) quarterly Operating Expenses came in at $2.1 billion in Q3 2026, up 56.76% year-over-year from $1.4 billion in Q3 2025, and down 3.57% on a QoQ basis from $2.2 billion in Q2 2026.
Palo Alto Networks (PANW) Operating Expenses (2011 - 2026) Analysis & Trends
Palo Alto Networks (PANW) has 16 years of Operating Expenses data on file, last reported at $2.1 billion in Q3 2026.
- On a quarterly basis, Operating Expenses rose 56.76% year-over-year to $2.1 billion in Q3 2026; TTM through Jul 2026 was $7.4 billion, a 33.56% increase from a year earlier, with the FY2026 full-year figure at $7.4 billion, up 33.56% from the prior year.
- Operating Expenses for Q3 2026 stood at $2.1 billion, down from $2.2 billion in the prior quarter.
- Across five years, Operating Expenses topped out at $2.2 billion in Q2 2026 and bottomed at $985.5 million in Q1 2022.
- Historically, Operating Expenses has averaged $1.4 billion across 5 years, with a median of $1.3 billion in 2024.
- The widest annual swing landed in 2025, when Operating Expenses fell 1.23%; it then surged 56.76% in 2026.
- Year by year, Operating Expenses stood at $1.1 billion in 2022, then gained by 9.56% to $1.2 billion in 2023, then grew by 9.15% to $1.3 billion in 2024, then rose by 17.55% to $1.5 billion in 2025, then surged by 39.62% to $2.1 billion in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $2.1 billion in Q3 2026, $2.2 billion in Q2 2026, and $1.5 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 541.37 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 534.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 4.17 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.13 Bn |
| Apr 30, 2026 | 2.21 Bn |
| Jan 31, 2026 | 1.51 Bn |
| Oct 31, 2025 | 1.53 Bn |
| Jul 31, 2025 | 1.36 Bn |
| Apr 30, 2025 | 1.45 Bn |
| Jan 31, 2025 | 1.42 Bn |
| Oct 31, 2024 | 1.30 Bn |
| Jul 31, 2024 | 1.38 Bn |
| Apr 30, 2024 | 1.29 Bn |
| Jan 31, 2024 | 1.42 Bn |
| Oct 31, 2023 | 1.19 Bn |
| Jul 31, 2023 | 1.19 Bn |
| Apr 30, 2023 | 1.17 Bn |
| Jan 31, 2023 | 1.15 Bn |
| Oct 31, 2022 | 1.09 Bn |
| Jul 31, 2022 | 1.04 Bn |
| Apr 30, 2022 | 993.80 Mn |
| Jan 31, 2022 | 985.50 Mn |
| Oct 31, 2021 | 949.50 Mn |
Palo Alto Networks 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=operating-expenses&ticker=PANW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();