Varonis Systems (VRNS) Cash & Equivalents (2013 - 2026)
Varonis Systems (VRNS) posted Cash & Equivalents of $233.64 million for Q2 2026, up 17.3% from $199.23 million a year earlier and up 30.3% from the prior quarter.
Varonis Systems (VRNS) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Varonis Systems' Cash & Equivalents came in at $202.48 million, up 9.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In prior years, Varonis Systems' Cash & Equivalents was $185.59 million in FY2024 (-19.6%), $230.74 million in FY2023 (-37.3%), $367.8 million in FY2022 (-54.4%) and $805.76 million in FY2021 (+244.2%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q3 2024.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 20.7% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2021, with growth of 247.0%; the weakest was Q3 2023, with a decline of 85.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $179.34 million (Q1 2026), $202.48 million (Q4 2025) and $157.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 3.61 Bn |
| 10 | Varonis Systems | 5.45 Bn | 2.49 Bn | 135.51 Mn | 233.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 233.64 Mn |
| Mar 31, 2026 | 179.34 Mn |
| Dec 31, 2025 | 202.48 Mn |
| Sep 30, 2025 | 157.35 Mn |
| Jun 30, 2025 | 199.23 Mn |
| Mar 31, 2025 | 153.11 Mn |
| Dec 31, 2024 | 185.59 Mn |
| Sep 30, 2024 | 282.22 Mn |
| Jun 30, 2024 | 155.40 Mn |
| Mar 31, 2024 | 147.05 Mn |
| Dec 31, 2023 | 230.74 Mn |
| Sep 30, 2023 | 111.20 Mn |
| Jun 30, 2023 | 399.20 Mn |
| Mar 31, 2023 | 248.59 Mn |
| Dec 31, 2022 | 367.80 Mn |
| Sep 30, 2022 | 754.25 Mn |
| Jun 30, 2022 | 753.17 Mn |
| Mar 31, 2022 | 775.72 Mn |
| Dec 31, 2021 | 805.76 Mn |
| Sep 30, 2021 | 803.14 Mn |
Varonis Systems Cash & Equivalents 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=cash-and-equivalents&ticker=VRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();