Zscaler (ZS) Other Operating Expenses (2017 - 2026)
Zscaler's (ZS) quarterly Other Operating Expenses came in at $229.1 million in Q1 2026, up 34.11% year-over-year from $170.9 million in Q1 2025, and up 14.28% quarter-over-quarter from $200.5 million in Q4 2025.
Zscaler (ZS) Other Operating Expenses (2017 - 2026) Analysis & Trends
Zscaler (ZS) has reported Other Operating Expenses for 10 consecutive years, with $229.1 million the latest figure, recorded in Q1 2026.
- On a quarterly basis, Other Operating Expenses rose 34.11% year-over-year to $229.1 million in Q1 2026; TTM through Jan 2026 was $777.0 million, a 31.87% increase from a year earlier, with the FY2026 full-year figure at $903.4 million, up 34.34% from the prior year.
- Other Operating Expenses was $229.1 million for Q1 2026 at Zscaler, up from $200.5 million in the prior quarter.
- Over five years, Other Operating Expenses peaked at $229.1 million in Q1 2026 and troughed at $69.2 million in Q1 2022.
- A 5-year average of $128.0 million and a median of $122.2 million in 2024 frame the typical range for Other Operating Expenses.
- The widest YoY moves for Other Operating Expenses: up 86.99% in 2022, down 14.92% in 2022.
- Over 5 years, Other Operating Expenses stood at $74.9 million in 2022, then soared by 51.49% to $113.5 million in 2023, then surged by 35.86% to $154.3 million in 2024, then advanced by 29.98% to $200.5 million in 2025, then climbed by 14.28% to $229.1 million in 2026.
- The last three Other Operating Expenses figures came in at $229.1 million (Q1 2026), $200.5 million (Q4 2025), and $177.6 million (Q3 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 |
|---|---|
| Jan 31, 2026 | 368.95 Mn |
| Oct 31, 2025 | 373.56 Mn |
| Jul 31, 2025 | 330.59 Mn |
| Apr 30, 2025 | 314.61 Mn |
| Jan 31, 2025 | 307.87 Mn |
| Oct 31, 2024 | 306.09 Mn |
| Jul 31, 2024 | 294.20 Mn |
| Apr 30, 2024 | 262.45 Mn |
| Jan 31, 2024 | 276.48 Mn |
| Oct 31, 2023 | 267.11 Mn |
| Jul 31, 2023 | 251.75 Mn |
| Apr 30, 2023 | 242.57 Mn |
| Jan 31, 2023 | 235.95 Mn |
| Oct 31, 2022 | 228.84 Mn |
| Jul 31, 2022 | 214.23 Mn |
| Apr 30, 2022 | 192.13 Mn |
| Jan 31, 2022 | 175.07 Mn |
| Oct 31, 2021 | 153.79 Mn |
| Jul 31, 2021 | 136.39 Mn |
| Apr 30, 2021 | 115.73 Mn |
Zscaler Other 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=other-operating-expenses&ticker=ZS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();