Zscaler (ZS) Price to Book (2018 - 2026)
Zscaler's (ZS) quarterly Price to Book came in at 9.49 in Q3 2026, down 62.23% year-over-year from 25.12 in Q3 2025, and down 35.12% quarter-over-quarter from 14.62 in Q1 2026.
Powered by 
Analysis
Zscaler (ZS) Price to Book (2018 - 2026) Analysis & Trends
Zscaler (ZS) has reported Price to Book for 9 consecutive years, with 9.49 the latest figure, recorded in Q3 2026.
- On a quarterly basis, Price to Book fell 62.23% year-over-year to 9.49 in Q3 2026; TTM through Jul 2026 was 9.49, a 62.23% decrease from a year earlier, with the FY2026 full-year figure at 9.49, down 62.23% from the prior year.
- Price to Book was 9.49 for Q3 2026 at Zscaler, down from 14.62 in the prior quarter.
- Over five years, Price to Book peaked at 67.24 in Q1 2022 and troughed at 9.49 in Q3 2026.
- A 5-year average of 30.32 and a median of 25.88 in 2025 frame the typical range for Price to Book.
- Across the five-year window, Price to Book jumped 37.2% in 2025 and sank 62.23% in 2026, its largest moves.
- Over 5 years, Price to Book stood at 51.53 in 2022, then sank by 43.44% to 29.15 in 2023, then tumbled by 33.38% to 19.42 in 2024, then soared by 37.2% to 26.64 in 2025, then tumbled by 64.38% to 9.49 in 2026.
- The last three Price to Book figures came in at 9.49 (Q3 2026), 14.62 (Q1 2026), and 26.64 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.49 |
| Jan 31, 2026 | 14.62 |
| Oct 31, 2025 | 26.64 |
| Jul 31, 2025 | 25.12 |
| Apr 30, 2025 | 19.51 |
| Jan 31, 2025 | 19.50 |
| Oct 31, 2024 | 19.42 |
| Jul 31, 2024 | 21.47 |
| Apr 30, 2024 | 23.94 |
| Jan 31, 2024 | 36.81 |
| Oct 31, 2023 | 29.15 |
| Jul 31, 2023 | 32.55 |
| Apr 30, 2023 | 21.86 |
| Jan 31, 2023 | 34.08 |
| Oct 31, 2022 | 51.53 |
| Jul 31, 2022 | 38.69 |
| Apr 30, 2022 | 54.10 |
| Jan 31, 2022 | 67.24 |
| Oct 31, 2021 | 84.21 |
| Jul 31, 2021 | 61.85 |
API Access
Zscaler Price to Book 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=price-to-book&ticker=ZS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();