Zscaler (ZS) Goodwill (2019 - 2026)
Zscaler's (ZS) quarterly Goodwill came in at $1.2 billion in Q3 2026, up 191.6% year-over-year from $417.7 million in Q3 2025, and up 21.64% quarter-over-quarter from $1.0 billion in Q1 2026.
Zscaler (ZS) Goodwill (2019 - 2026) Analysis & Trends
Zscaler (ZS) has reported Goodwill for 8 consecutive years, with $1.2 billion the latest figure, recorded in Q3 2026.
- On a quarterly basis, Goodwill rose 191.6% year-over-year to $1.2 billion in Q3 2026; TTM through Jul 2026 was $1.2 billion, a 191.6% increase from a year earlier, with the FY2026 full-year figure at $1.2 billion, up 191.6% from the prior year.
- Goodwill was $1.2 billion for Q3 2026 at Zscaler, up from $1.0 billion in the prior quarter.
- Over five years, Goodwill peaked at $1.2 billion in Q3 2026 and troughed at $59.8 million in Q1 2022.
- A 5-year average of $357.6 million and a median of $254.7 million in 2023 frame the typical range for Goodwill.
- Across the five-year window, Goodwill surged 367.56% in 2024 and rose 0.17% in 2025, its largest moves.
- Over 5 years, Goodwill stood at $78.5 million in 2022, then climbed by 17.66% to $92.4 million in 2023, then soared by 351.26% to $417.0 million in 2024, then surged by 138.46% to $994.5 million in 2025, then grew by 22.49% to $1.2 billion in 2026.
- The last three Goodwill figures came in at $1.2 billion (Q3 2026), $1.0 billion (Q1 2026), and $994.5 million (Q4 2025), per Business Quant data.
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 | 1.22 Bn |
| Jan 31, 2026 | 1.00 Bn |
| Oct 31, 2025 | 994.46 Mn |
| Jul 31, 2025 | 417.73 Mn |
| Apr 30, 2025 | 417.73 Mn |
| Jan 31, 2025 | 417.73 Mn |
| Oct 31, 2024 | 417.03 Mn |
| Jul 31, 2024 | 417.03 Mn |
| Apr 30, 2024 | 417.03 Mn |
| Jan 31, 2024 | 92.42 Mn |
| Oct 31, 2023 | 92.42 Mn |
| Jul 31, 2023 | 89.19 Mn |
| Apr 30, 2023 | 89.19 Mn |
| Jan 31, 2023 | 78.55 Mn |
| Oct 31, 2022 | 78.55 Mn |
| Jul 31, 2022 | 78.55 Mn |
| Apr 30, 2022 | 59.82 Mn |
| Jan 31, 2022 | 59.82 Mn |
| Oct 31, 2021 | 59.00 Mn |
| Jul 31, 2021 | 58.98 Mn |
Zscaler Goodwill 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=goodwill&ticker=ZS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();