Zscaler (ZS) Times Interest Earned (2020 - 2026)
Zscaler's Times Interest Earned came in at -11.30 for FY2026 (year ended Jul 31, 2026), compared with -13.49 in FY2025.
Analysis
Zscaler (ZS) Times Interest Earned (2020 - 2026) Analysis & Trends
Going back to FY2020, Zscaler's Times Interest Earned data covers 7 fiscal years.
- The five-year range for annual Times Interest Earned is -35.87 (FY2023) to -5.79 (FY2022).
- Per Business Quant, earlier fiscal years put Times Interest Earned at -13.49 in FY2025, -9.25 in FY2024, -35.87 in FY2023 and -5.79 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 261.23 Bn | 246.30 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 233.89 Bn | 214.29 Bn | 1.10 Bn | -5.50 |
| 3 | Fortinet | 125.38 Bn | 111.31 Bn | 1.64 Bn | 215.41 |
| 4 | Snowflake | 108.45 Bn | 95.77 Bn | 1.04 Bn | -126.37 |
| 5 | Datadog | 88.65 Bn | 70.29 Bn | 881.34 Mn | 1.68 |
| 6 | Zscaler | 33.05 Bn | 19.16 Bn | - | - |
| 7 | Okta | 32.99 Bn | 23.09 Bn | 641.00 Mn | 5.63 |
| 8 | Axon Enterprise | 32.35 Bn | 26.87 Bn | 546.45 Mn | 1.66 |
| 9 | MongoDB | 27.25 Bn | 17.72 Bn | 569.77 Mn | 30.74 |
| 10 | F5 | 25.14 Bn | 19.55 Bn | 711.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -12.27 |
| Oct 31, 2025 | -17.10 |
| Jul 31, 2025 | -15.55 |
| Apr 30, 2025 | -12.93 |
| Jan 31, 2025 | -17.16 |
| Oct 31, 2024 | -9.76 |
| Jul 31, 2024 | -7.48 |
| Apr 30, 2024 | -1.09 |
| Jan 31, 2024 | -12.61 |
| Oct 31, 2023 | -14.58 |
| Jul 31, 2023 | -17.86 |
| Apr 30, 2023 | -40.31 |
| Jan 31, 2023 | -48.94 |
| Oct 31, 2022 | -51.91 |
| Jul 31, 2022 | -5.71 |
| Apr 30, 2022 | -6.08 |
| Jan 31, 2022 | -5.98 |
| Oct 31, 2021 | -5.38 |
| Jul 31, 2021 | -4.94 |
| Apr 30, 2021 | -3.26 |
API Access
Zscaler Times Interest Earned 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=times-interest-earned&ticker=ZS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();