Varonis Systems (VRNS) Receivables (2013 - 2026)
Varonis Systems' Receivables was $167.04 million in Q3 2026, up 17.1% from $142.63 million a year earlier and up 10.7% from the prior quarter.
Analysis
Varonis Systems (VRNS) Receivables (2013 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Varonis Systems came in at $289.34 million, up 21.1% from FY2024.
- Receivables has now increased for six consecutive years, with a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- In earlier years, Receivables was $238.89 million in FY2024 (+29.5%), $184.52 million in FY2023 (+28.9%), $143.16 million in FY2022 (+18.8%) and $120.51 million in FY2021 (+25.8%).
- Quarterly Receivables has moved between $63.6 million (Q1 2022) and $289.34 million (Q4 2025) over five years.
- Compared with a year earlier, Receivables has increased for 26 straight quarters, with growth averaging 20.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Receivables ran from 0.8% in Q2 2026 to 39.5% in Q2 2022.
- Per Business Quant data, VRNS's Receivables in the three quarters before Q3 2026 was $150.9 million (Q2 2026), $156.62 million (Q1 2026) and $289.34 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 718.46 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 1.46 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 963.88 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 1.15 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 1.52 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 483.22 Mn |
| 10 | Varonis Systems | 5.61 Bn | 2.73 Bn | 142.57 Mn | 167.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 167.04 Mn |
| Jun 30, 2026 | 150.90 Mn |
| Mar 31, 2026 | 156.62 Mn |
| Dec 31, 2025 | 289.34 Mn |
| Sep 30, 2025 | 142.63 Mn |
| Jun 30, 2025 | 149.70 Mn |
| Mar 31, 2025 | 123.58 Mn |
| Dec 31, 2024 | 238.89 Mn |
| Sep 30, 2024 | 119.20 Mn |
| Jun 30, 2024 | 122.41 Mn |
| Mar 31, 2024 | 100.44 Mn |
| Dec 31, 2023 | 184.52 Mn |
| Sep 30, 2023 | 111.08 Mn |
| Jun 30, 2023 | 103.67 Mn |
| Mar 31, 2023 | 75.39 Mn |
| Dec 31, 2022 | 143.16 Mn |
| Sep 30, 2022 | 91.69 Mn |
| Jun 30, 2022 | 83.93 Mn |
| Mar 31, 2022 | 63.60 Mn |
| Dec 31, 2021 | 120.51 Mn |
API Access
Varonis Systems 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=VRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "VRNS", "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=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();