Zscaler (ZS) Asset Utilization Ratio (2018 - 2026)
Zscaler's (ZS) quarterly Asset Utilization Ratio came in at 0.45 in Q1 2026, down 9.19% year-over-year from 0.5 in Q1 2025, and up 3.26% quarter-over-quarter from 0.44 in Q4 2025.
Zscaler (ZS) Asset Utilization Ratio (2018 - 2026) Analysis & Trends
Zscaler (ZS) has reported Asset Utilization Ratio for 9 consecutive years, with 0.45 the latest figure, recorded in Q1 2026.
- On a quarterly basis, Asset Utilization Ratio fell 9.19% year-over-year to 0.45 in Q1 2026; TTM through Jan 2026 was 0.45, a 9.19% decrease from a year earlier, with the FY2026 full-year figure at 0.47, down 2.34% from the prior year.
- Asset Utilization Ratio was 0.45 for Q1 2026 at Zscaler, up from 0.44 in the prior quarter.
- Over five years, Asset Utilization Ratio peaked at 0.5 in Q1 2024 and troughed at 0.37 in Q1 2022.
- A 5-year average of 0.46 and a median of 0.47 in 2023 frame the typical range for Asset Utilization Ratio.
- Across the five-year window, Asset Utilization Ratio soared 31.34% in 2022 and dropped 10.23% in 2025, its largest moves.
- Over 5 years, Asset Utilization Ratio stood at 0.43 in 2022, then increased by 13.14% to 0.49 in 2023, then rose by 0.62% to 0.49 in 2024, then declined by 10.23% to 0.44 in 2025, then rose by 3.26% to 0.45 in 2026.
- The last three Asset Utilization Ratio figures came in at 0.45 (Q1 2026), 0.44 (Q4 2025), and 0.45 (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 0.24 |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 0.46 |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 0.73 |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 0.63 |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 0.55 |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 0.44 |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 0.75 |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 0.33 |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 0.27 |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 0.45 |
| Oct 31, 2025 | 0.44 |
| Jul 31, 2025 | 0.45 |
| Apr 30, 2025 | 0.49 |
| Jan 31, 2025 | 0.50 |
| Oct 31, 2024 | 0.49 |
| Jul 31, 2024 | 0.49 |
| Apr 30, 2024 | 0.50 |
| Jan 31, 2024 | 0.50 |
| Oct 31, 2023 | 0.49 |
| Jul 31, 2023 | 0.47 |
| Apr 30, 2023 | 0.47 |
| Jan 31, 2023 | 0.46 |
| Oct 31, 2022 | 0.43 |
| Jul 31, 2022 | 0.41 |
| Apr 30, 2022 | 0.39 |
| Jan 31, 2022 | 0.37 |
| Oct 31, 2021 | 0.34 |
| Jul 31, 2021 | 0.31 |
| Apr 30, 2021 | 0.30 |
Zscaler Asset Utilization Ratio 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=asset-utilization-ratio&ticker=ZS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();