Zscaler (ZS) Intangibles (2019 - 2026)
Zscaler's (ZS) quarterly Intangibles came in at $214.4 million in Q3 2026, up 352.96% year-over-year from $47.3 million in Q3 2025, and up 10.85% quarter-over-quarter from $193.4 million in Q1 2026.
Zscaler (ZS) Intangibles (2019 - 2026) Analysis & Trends
Zscaler (ZS) has reported Intangibles for 8 consecutive years, with $214.4 million the latest figure, recorded in Q3 2026.
- On a quarterly basis, Intangibles rose 352.96% year-over-year to $214.4 million in Q3 2026; TTM through Jul 2026 was $214.4 million, a 352.96% increase from a year earlier, with the FY2026 full-year figure at $214.4 million, up 352.96% from the prior year.
- Intangibles was $214.4 million for Q3 2026 at Zscaler, up from $193.4 million in the prior quarter.
- Over five years, Intangibles peaked at $215.3 million in Q4 2025 and troughed at $22.5 million in Q1 2024.
- A 5-year average of $67.6 million and a median of $39.6 million in 2022 frame the typical range for Intangibles.
- Across the five-year window, Intangibles fell 25.87% in 2025 and soared 352.96% in 2026, its largest moves.
- Over 5 years, Intangibles stood at $29.3 million in 2022, then slipped by 12.45% to $25.6 million in 2023, then soared by 132.58% to $59.6 million in 2024, then surged by 261.26% to $215.3 million in 2025, then dropped by 0.43% to $214.4 million in 2026.
- The last three Intangibles figures came in at $214.4 million (Q3 2026), $193.4 million (Q1 2026), and $215.3 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 77.10 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 426.53 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 23.16 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 281.58 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 214.36 Mn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 30.73 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 80.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 736.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 214.36 Mn |
| Jan 31, 2026 | 193.38 Mn |
| Oct 31, 2025 | 215.29 Mn |
| Jul 31, 2025 | 47.32 Mn |
| Apr 30, 2025 | 51.40 Mn |
| Jan 31, 2025 | 55.66 Mn |
| Oct 31, 2024 | 59.60 Mn |
| Jul 31, 2024 | 63.84 Mn |
| Apr 30, 2024 | 68.96 Mn |
| Jan 31, 2024 | 22.54 Mn |
| Oct 31, 2023 | 25.62 Mn |
| Jul 31, 2023 | 25.86 Mn |
| Apr 30, 2023 | 28.84 Mn |
| Jan 31, 2023 | 26.72 Mn |
| Oct 31, 2022 | 29.27 Mn |
| Jul 31, 2022 | 31.82 Mn |
| Apr 30, 2022 | 27.03 Mn |
| Jan 31, 2022 | 29.27 Mn |
| Oct 31, 2021 | 29.90 Mn |
| Jul 31, 2021 | 32.13 Mn |
Zscaler 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=ZS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "ZS", "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=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();