Zscaler (ZS) Accumulated Expenses (2017 - 2026)
Zscaler's (ZS) quarterly Accumulated Expenses came in at $234.6 million in Q3 2026, up 29.06% year-over-year from $181.8 million in Q3 2025, and up 46.18% quarter-over-quarter from $160.5 million in Q1 2026.
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Analysis
Zscaler (ZS) Accumulated Expenses (2017 - 2026) Analysis & Trends
Zscaler (ZS) has reported Accumulated Expenses for 10 consecutive years, with $234.6 million the latest figure, recorded in Q3 2026.
- On a quarterly basis, Accumulated Expenses rose 29.06% year-over-year to $234.6 million in Q3 2026; TTM through Jul 2026 was $234.6 million, a 29.06% increase from a year earlier, with the FY2026 full-year figure at $234.6 million, up 29.06% from the prior year.
- Accumulated Expenses was $234.6 million for Q3 2026 at Zscaler, up from $160.5 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $234.6 million in Q3 2026 and troughed at $79.6 million in Q4 2022.
- A 5-year average of $134.9 million and a median of $136.0 million in 2023 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses soared 75.22% in 2022 and dropped 4.91% in 2025, its largest moves.
- Over 5 years, Accumulated Expenses stood at $79.6 million in 2022, then increased by 22.59% to $97.6 million in 2023, then grew by 29.53% to $126.4 million in 2024, then increased by 7.01% to $135.2 million in 2025, then soared by 73.51% to $234.6 million in 2026.
- The last three Accumulated Expenses figures came in at $234.6 million (Q3 2026), $160.5 million (Q1 2026), and $135.2 million (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 234.64 Mn |
| Jan 31, 2026 | 160.52 Mn |
| Oct 31, 2025 | 135.23 Mn |
| Jul 31, 2025 | 181.81 Mn |
| Apr 30, 2025 | 155.12 Mn |
| Jan 31, 2025 | 140.43 Mn |
| Oct 31, 2024 | 126.38 Mn |
| Jul 31, 2024 | 160.81 Mn |
| Apr 30, 2024 | 163.12 Mn |
| Jan 31, 2024 | 137.36 Mn |
| Oct 31, 2023 | 97.57 Mn |
| Jul 31, 2023 | 136.80 Mn |
| Apr 30, 2023 | 123.20 Mn |
| Jan 31, 2023 | 97.29 Mn |
| Oct 31, 2022 | 79.59 Mn |
| Jul 31, 2022 | 111.95 Mn |
| Apr 30, 2022 | 102.68 Mn |
| Jan 31, 2022 | 83.86 Mn |
| Oct 31, 2021 | 72.67 Mn |
| Jul 31, 2021 | 93.62 Mn |
API Access
Zscaler 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=ZS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();