Zscaler (ZS) Total Liabilities (2017 - 2026)
Zscaler's (ZS) quarterly Total Liabilities came in at $5.3 billion in Q3 2026, up 14.02% year-over-year from $4.6 billion in Q3 2025, and up 15.59% quarter-over-quarter from $4.6 billion in Q1 2026.
Powered by 
Analysis
Zscaler (ZS) Total Liabilities (2017 - 2026) Analysis & Trends
Zscaler (ZS) has reported Total Liabilities for 10 consecutive years, with $5.3 billion the latest figure, recorded in Q3 2026.
- On a quarterly basis, Total Liabilities rose 14.02% year-over-year to $5.3 billion in Q3 2026; TTM through Jul 2026 was $5.3 billion, a 14.02% increase from a year earlier, with the FY2026 full-year figure at $5.3 billion, up 14.02% from the prior year.
- Total Liabilities was $5.3 billion for Q3 2026 at Zscaler, up from $4.6 billion in the prior quarter.
- Over five years, Total Liabilities peaked at $5.3 billion in Q3 2026 and troughed at $1.9 billion in Q1 2022.
- A 5-year average of $3.2 billion and a median of $3.0 billion in 2024 frame the typical range for Total Liabilities.
- Across the five-year window, Total Liabilities soared 38.11% in 2022 and climbed 13.82% in 2025, its largest moves.
- Over 5 years, Total Liabilities stood at $2.4 billion in 2022, then increased by 17.62% to $2.8 billion in 2023, then rose by 16.0% to $3.3 billion in 2024, then surged by 37.81% to $4.5 billion in 2025, then advanced by 16.54% to $5.3 billion in 2026.
- The last three Total Liabilities figures came in at $5.3 billion (Q3 2026), $4.6 billion (Q1 2026), and $4.5 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 5.27 Bn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 797.71 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 2.17 Bn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 25.77 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.27 Bn |
| Jan 31, 2026 | 4.56 Bn |
| Oct 31, 2025 | 4.52 Bn |
| Jul 31, 2025 | 4.62 Bn |
| Apr 30, 2025 | 3.53 Bn |
| Jan 31, 2025 | 3.40 Bn |
| Oct 31, 2024 | 3.28 Bn |
| Jul 31, 2024 | 3.43 Bn |
| Apr 30, 2024 | 3.11 Bn |
| Jan 31, 2024 | 2.98 Bn |
| Oct 31, 2023 | 2.83 Bn |
| Jul 31, 2023 | 2.88 Bn |
| Apr 30, 2023 | 2.60 Bn |
| Jan 31, 2023 | 2.51 Bn |
| Oct 31, 2022 | 2.40 Bn |
| Jul 31, 2022 | 2.26 Bn |
| Apr 30, 2022 | 1.99 Bn |
| Jan 31, 2022 | 1.88 Bn |
| Oct 31, 2021 | 1.74 Bn |
| Jul 31, 2021 | 1.73 Bn |
API Access
Zscaler Total Liabilities 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=total-liabilities&ticker=ZS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();