Zscaler (ZS) EBITDA (2017 - 2026)
Zscaler's (ZS) quarterly EBITDA came in at -$51.8 million in Q1 2026, down 28.98% year-over-year from -$72.9 million in Q1 2025, and down 42.38% quarter-over-quarter from -$36.4 million in Q4 2025.
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Analysis
Zscaler (ZS) EBITDA (2017 - 2026) Analysis & Trends
Zscaler (ZS) has reported EBITDA for 10 consecutive years, with -$51.8 million the latest figure, recorded in Q1 2026.
- On a quarterly basis, EBITDA fell 28.98% year-over-year to -$51.8 million in Q1 2026; TTM through Jan 2026 was -$145.8 million, a 44.67% decrease from a year earlier, with the FY2026 full-year figure at -$133.3 million, down 3.74% from the prior year.
- EBITDA was -$51.8 million for Q1 2026 at Zscaler, down from -$36.4 million in the prior quarter.
- Over five years, EBITDA peaked at -$3.0 million in Q2 2024 and troughed at -$86.6 million in Q2 2022.
- A 5-year average of -$48.6 million and a median of -$45.5 million in 2024 frame the typical range for EBITDA.
- Across the five-year window, EBITDA jumped 94.6% in 2024 and sank 743.38% in 2025, its largest moves.
- Over 5 years, EBITDA stood at -$69.1 million in 2022, then jumped by 33.33% to -$46.1 million in 2023, then jumped by 33.42% to -$30.7 million in 2024, then slipped by 18.57% to -$36.4 million in 2025, then sank by 42.38% to -$51.8 million in 2026.
- The last three EBITDA figures came in at -$51.8 million (Q1 2026), -$36.4 million (Q4 2025), and -$32.2 million (Q3 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 172.00 Mn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | -33.23 Mn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 689.30 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | -262.97 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 5.46 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 46.78 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 28.40 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 107.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 906.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 43.77 Mn |
| Oct 31, 2025 | 53.05 Mn |
| Jul 31, 2025 | 46.91 Mn |
| Apr 30, 2025 | 49.40 Mn |
| Jan 31, 2025 | 28.68 Mn |
| Oct 31, 2024 | 34.06 Mn |
| Jul 31, 2024 | 32.88 Mn |
| Apr 30, 2024 | 51.29 Mn |
| Jan 31, 2024 | 4.44 Mn |
| Oct 31, 2023 | 1.09 Mn |
| Jul 31, 2023 | 1.80 Mn |
| Apr 30, 2023 | -12.93 Mn |
| Jan 31, 2023 | -25.51 Mn |
| Oct 31, 2022 | -32.26 Mn |
| Jul 31, 2022 | -49.42 Mn |
| Apr 30, 2022 | -56.24 Mn |
| Jan 31, 2022 | -55.61 Mn |
| Oct 31, 2021 | -48.22 Mn |
| Jul 31, 2021 | -43.75 Mn |
| Apr 30, 2021 | -23.70 Mn |
API Access
Zscaler EBITDA 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=ebitda&ticker=ZS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();