Palo Alto Networks (PANW) Intangibles (2013 - 2026)
Palo Alto Networks (PANW) reported Intangibles of $7.02 billion for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 819.7% from $763 million a year earlier but down 3.7% from the prior quarter.
Palo Alto Networks (PANW) Intangibles (2013 - 2026) Analysis & Trends
Dating back to fiscal Q4 2013, Palo Alto Networks' Intangibles record includes 51 quarters.
- Intangibles has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 69.7% (FY2021 to FY2026).
- By fiscal year, Intangibles came in at $763 million in FY2025 (+103.5%), $374.9 million in FY2024 (+18.9%), $315.4 million in FY2023 (-18.0%) and $384.5 million in FY2022 (-22.9%).
- Five-year quarterly Intangibles spans a low of $290.5 million in fiscal Q1 2024 and a high of $7.28 billion in fiscal Q3 2026.
- Year over year, Intangibles has now increased in each of the last three quarters, with growth averaging 275.6% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was fiscal Q3 2026 (growth of 897.4%); the low point was fiscal Q1 2023 (a decline of 24.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $7.28 billion (Q3 2026), $1.25 billion (Q2 2026) and $723 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 241.68 Bn | 226.75 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 222.62 Bn | 203.02 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Snowflake | 96.02 Bn | 83.34 Bn | 1.04 Bn | 426.53 Mn |
| 4 | Fortinet | 91.35 Bn | 75.61 Bn | 1.64 Bn | 74.40 Mn |
| 5 | Datadog | 63.54 Bn | 44.08 Bn | 959.92 Mn | 19.74 Mn |
| 6 | Zscaler | 33.51 Bn | 19.66 Bn | 689.22 Mn | 214.36 Mn |
| 7 | Axon Enterprise | 33.09 Bn | 27.61 Bn | 546.45 Mn | 281.58 Mn |
| 8 | Okta | 30.14 Bn | 20.23 Bn | 641.00 Mn | 80.00 Mn |
| 9 | MongoDB | 24.45 Bn | 14.91 Bn | 569.77 Mn | 30.73 Mn |
| 10 | Roku | 23.97 Bn | 14.00 Bn | 648.52 Mn | 38.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.02 Bn |
| Apr 30, 2026 | 7.28 Bn |
| Jan 31, 2026 | 1.25 Bn |
| Oct 31, 2025 | 723.00 Mn |
| Jul 31, 2025 | 763.00 Mn |
| Apr 30, 2025 | 730.20 Mn |
| Jan 31, 2025 | 771.40 Mn |
| Oct 31, 2024 | 809.60 Mn |
| Jul 31, 2024 | 374.90 Mn |
| Apr 30, 2024 | 407.90 Mn |
| Jan 31, 2024 | 440.10 Mn |
| Oct 31, 2023 | 290.50 Mn |
| Jul 31, 2023 | 315.40 Mn |
| Apr 30, 2023 | 340.60 Mn |
| Jan 31, 2023 | 361.70 Mn |
| Oct 31, 2022 | 355.40 Mn |
| Jul 31, 2022 | 384.50 Mn |
| Apr 30, 2022 | 412.10 Mn |
| Jan 31, 2022 | 443.90 Mn |
| Oct 31, 2021 | 471.30 Mn |
Palo Alto Networks Intangibles 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=intangibles&ticker=PANW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=PANW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();