Zscaler (ZS) Tax Provisions (2017 - 2026)
Zscaler's (ZS) quarterly Tax Provisions came in at $13.0 million in Q1 2026, up 247.67% year-over-year from $3.7 million in Q1 2025, and up 301.54% quarter-over-quarter from $3.2 million in Q4 2025.
Zscaler (ZS) Tax Provisions (2017 - 2026) Analysis & Trends
Zscaler (ZS) has reported Tax Provisions for 10 consecutive years, with $13.0 million the latest figure, recorded in Q1 2026.
- On a quarterly basis, Tax Provisions rose 247.67% year-over-year to $13.0 million in Q1 2026; TTM through Jan 2026 was $40.6 million, a 292.94% increase from a year earlier, with the FY2026 full-year figure at $46.0 million, up 98.56% from the prior year.
- Tax Provisions was $13.0 million for Q1 2026 at Zscaler, up from $3.2 million in the prior quarter.
- Over five years, Tax Provisions peaked at $15.7 million in Q3 2025 and troughed at -$8.8 million in Q1 2025.
- A 5-year average of $5.4 million and a median of $4.7 million in 2022 frame the typical range for Tax Provisions.
- Across the five-year window, Tax Provisions soared 1440.0% in 2023 and tumbled 210.16% in 2025, its largest moves.
- Over 5 years, Tax Provisions stood at $4.7 million in 2022, then surged by 89.63% to $9.0 million in 2023, then dropped by 15.14% to $7.6 million in 2024, then slumped by 57.56% to $3.2 million in 2025, then jumped by 301.54% to $13.0 million in 2026.
- The last three Tax Provisions figures came in at $13.0 million (Q1 2026), $3.2 million (Q4 2025), and $15.7 million (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 13.00 Mn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | -1.40 Mn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 115.00 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 3.43 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 7.20 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 3.26 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 5.01 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 10.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 147.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 13.01 Mn |
| Oct 31, 2025 | 3.24 Mn |
| Jul 31, 2025 | 15.68 Mn |
| Apr 30, 2025 | 8.70 Mn |
| Jan 31, 2025 | -8.81 Mn |
| Oct 31, 2024 | 7.64 Mn |
| Jul 31, 2024 | 9.77 Mn |
| Apr 30, 2024 | 1.74 Mn |
| Jan 31, 2024 | 8.00 Mn |
| Oct 31, 2023 | 9.00 Mn |
| Jul 31, 2023 | 4.65 Mn |
| Apr 30, 2023 | 6.70 Mn |
| Jan 31, 2023 | 3.70 Mn |
| Oct 31, 2022 | 4.75 Mn |
| Jul 31, 2022 | 2.45 Mn |
| Apr 30, 2022 | -500,000.00 |
| Jan 31, 2022 | 2.20 Mn |
| Oct 31, 2021 | 2.50 Mn |
| Jul 31, 2021 | 845,000.00 |
| Apr 30, 2021 | 1.84 Mn |
Zscaler Tax Provisions 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=tax-provisions&ticker=ZS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();