Zscaler (ZS) Receivables - Net (2017 - 2026)
Zscaler's (ZS) quarterly Receivables - Net came in at $1.1 billion in Q3 2026, up 15.81% year-over-year from $992.2 million in Q3 2025, and up 108.23% quarter-over-quarter from $551.8 million in Q1 2026.
Zscaler (ZS) Receivables - Net (2017 - 2026) Analysis & Trends
Zscaler (ZS) has reported Receivables - Net for 10 consecutive years, with $1.1 billion the latest figure, recorded in Q3 2026.
- On a quarterly basis, Receivables - Net rose 15.81% year-over-year to $1.1 billion in Q3 2026; TTM through Jul 2026 was $1.1 billion, a 15.81% increase from a year earlier, with the FY2026 full-year figure at $1.1 billion, up 15.81% from the prior year.
- Receivables - Net was $1.1 billion for Q3 2026 at Zscaler, up from $551.8 million in the prior quarter.
- Over five years, Receivables - Net peaked at $1.1 billion in Q3 2026 and troughed at $268.7 million in Q4 2022.
- A 5-year average of $521.9 million and a median of $492.9 million in 2024 frame the typical range for Receivables - Net.
- Across the five-year window, Receivables - Net surged 64.98% in 2022 and rose 7.24% in 2025, its largest moves.
- Over 5 years, Receivables - Net stood at $268.7 million in 2022, then jumped by 36.52% to $366.8 million in 2023, then advanced by 15.74% to $424.6 million in 2024, then gained by 24.95% to $530.5 million in 2025, then jumped by 116.61% to $1.1 billion in 2026.
- The last three Receivables - Net figures came in at $1.1 billion (Q3 2026), $551.8 million (Q1 2026), and $530.5 million (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.15 Bn |
| Jan 31, 2026 | 551.82 Mn |
| Oct 31, 2025 | 530.49 Mn |
| Jul 31, 2025 | 992.18 Mn |
| Apr 30, 2025 | 615.79 Mn |
| Jan 31, 2025 | 514.31 Mn |
| Oct 31, 2024 | 424.57 Mn |
| Jul 31, 2024 | 736.53 Mn |
| Apr 30, 2024 | 506.28 Mn |
| Jan 31, 2024 | 479.61 Mn |
| Oct 31, 2023 | 366.84 Mn |
| Jul 31, 2023 | 582.64 Mn |
| Apr 30, 2023 | 376.34 Mn |
| Jan 31, 2023 | 358.61 Mn |
| Oct 31, 2022 | 268.72 Mn |
| Jul 31, 2022 | 399.75 Mn |
| Apr 30, 2022 | 272.09 Mn |
| Jan 31, 2022 | 269.45 Mn |
| Oct 31, 2021 | 172.03 Mn |
| Jul 31, 2021 | 257.11 Mn |
Zscaler Receivables - Net 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=receivables-net&ticker=ZS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();