Zscaler (ZS) Receivables (2017 - 2026)
Zscaler's (ZS) quarterly Receivables came in at $1.2 billion in Q3 2026, up 16.4% year-over-year from $1.0 billion in Q3 2025, and up 104.3% quarter-over-quarter from $575.5 million in Q1 2026.
Zscaler (ZS) Receivables (2017 - 2026) Analysis & Trends
Zscaler (ZS) has reported Receivables for 10 consecutive years, with $1.2 billion the latest figure, recorded in Q3 2026.
- On a quarterly basis, Receivables rose 16.4% year-over-year to $1.2 billion in Q3 2026; TTM through Jul 2026 was $1.2 billion, a 16.4% increase from a year earlier, with the FY2026 full-year figure at $1.2 billion, up 16.4% from the prior year.
- Receivables was $1.2 billion for Q3 2026 at Zscaler, up from $575.5 million in the prior quarter.
- Over five years, Receivables peaked at $1.2 billion in Q3 2026 and troughed at $270.2 million in Q4 2022.
- A 5-year average of $532.8 million and a median of $503.2 million in 2024 frame the typical range for Receivables.
- Across the five-year window, Receivables soared 62.61% in 2022 and grew 7.7% in 2025, its largest moves.
- Over 5 years, Receivables stood at $270.2 million in 2022, then jumped by 39.27% to $376.3 million in 2023, then rose by 16.16% to $437.2 million in 2024, then grew by 27.02% to $555.3 million in 2025, then jumped by 111.74% to $1.2 billion in 2026.
- The last three Receivables figures came in at $1.2 billion (Q3 2026), $575.5 million (Q1 2026), and $555.3 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 745.76 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 1.18 Bn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 483.22 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 488.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 2.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.18 Bn |
| Jan 31, 2026 | 575.52 Mn |
| Oct 31, 2025 | 555.29 Mn |
| Jul 31, 2025 | 1.01 Bn |
| Apr 30, 2025 | 630.39 Mn |
| Jan 31, 2025 | 527.31 Mn |
| Oct 31, 2024 | 437.17 Mn |
| Jul 31, 2024 | 747.23 Mn |
| Apr 30, 2024 | 516.88 Mn |
| Jan 31, 2024 | 489.61 Mn |
| Oct 31, 2023 | 376.34 Mn |
| Jul 31, 2023 | 589.84 Mn |
| Apr 30, 2023 | 382.14 Mn |
| Jan 31, 2023 | 360.31 Mn |
| Oct 31, 2022 | 270.22 Mn |
| Jul 31, 2022 | 401.05 Mn |
| Apr 30, 2022 | 274.19 Mn |
| Jan 31, 2022 | 271.85 Mn |
| Oct 31, 2021 | 175.03 Mn |
| Jul 31, 2021 | 261.01 Mn |
Zscaler Receivables 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&ticker=ZS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=ZS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();