Palo Alto Networks (PANW) Accumulated Expenses (2012 - 2026)
Palo Alto Networks' (PANW) quarterly Accumulated Expenses came in at $1.0 billion in Q3 2026, up 23.88% year-over-year from $846.0 million in Q3 2025, and up 37.89% on a QoQ basis from $760.0 million in Q2 2026.
Palo Alto Networks (PANW) Accumulated Expenses (2012 - 2026) Analysis & Trends
Palo Alto Networks (PANW) has 15 years of Accumulated Expenses data on file, last reported at $1.0 billion in Q3 2026.
- On a quarterly basis, Accumulated Expenses rose 23.88% year-over-year to $1.0 billion in Q3 2026; TTM through Jul 2026 was $1.0 billion, a 23.88% increase from a year earlier, with the FY2026 full-year figure at $1.0 billion, up 23.88% from the prior year.
- Accumulated Expenses for Q3 2026 stood at $1.0 billion, up from $760.0 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $1.0 billion in Q3 2026 and bottomed at $329.9 million in Q1 2022.
- Historically, Accumulated Expenses has averaged $589.4 million across 5 years, with a median of $548.3 million in 2023.
- The widest annual swing landed in 2025, when Accumulated Expenses soared 99.85%; it then decreased 7.83% in 2026.
- Year by year, Accumulated Expenses stood at $380.4 million in 2022, then decreased by 2.34% to $371.5 million in 2023, then jumped by 83.88% to $683.1 million in 2024, then fell by 2.65% to $665.0 million in 2025, then jumped by 57.59% to $1.0 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $1.0 billion in Q3 2026, $760.0 million in Q2 2026, and $937.0 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.05 Bn |
| Apr 30, 2026 | 760.00 Mn |
| Jan 31, 2026 | 937.00 Mn |
| Oct 31, 2025 | 665.00 Mn |
| Jul 31, 2025 | 846.00 Mn |
| Apr 30, 2025 | 824.60 Mn |
| Jan 31, 2025 | 777.60 Mn |
| Oct 31, 2024 | 683.10 Mn |
| Jul 31, 2024 | 554.70 Mn |
| Apr 30, 2024 | 412.60 Mn |
| Jan 31, 2024 | 452.60 Mn |
| Oct 31, 2023 | 371.50 Mn |
| Jul 31, 2023 | 548.30 Mn |
| Apr 30, 2023 | 376.10 Mn |
| Jan 31, 2023 | 395.10 Mn |
| Oct 31, 2022 | 380.40 Mn |
| Jul 31, 2022 | 461.10 Mn |
| Apr 30, 2022 | 375.40 Mn |
| Jan 31, 2022 | 329.90 Mn |
| Oct 31, 2021 | 324.60 Mn |
Palo Alto Networks Accumulated 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=accumulated-expenses&ticker=PANW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();