Varonis Systems (VRNS) Accumulated Expenses (2013 - 2026)
Varonis Systems (VRNS) reported Accumulated Expenses of $173.41 million for Q2 2026, down 8.9% from $190.34 million a year earlier and down 18.0% from the prior quarter.
Varonis Systems (VRNS) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Varonis Systems posted Accumulated Expenses of $225.41 million, up 36.7% from FY2024.
- Accumulated Expenses has increased for 12 consecutive years, with a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $164.93 million in FY2024 (+31.9%), $125.06 million in FY2023 (+8.5%), $115.23 million in FY2022 (+12.7%) and $102.23 million in FY2021 (+22.9%).
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q1 2025.
- Year over year, Accumulated Expenses gained in three of the last four quarters, with growth averaging 23.6%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $211.47 million (Q1 2026), $225.41 million (Q4 2025) and $193.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Varonis Systems | 5.45 Bn | 2.49 Bn | 135.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.41 Mn |
| Mar 31, 2026 | 211.47 Mn |
| Dec 31, 2025 | 225.41 Mn |
| Sep 30, 2025 | 193.07 Mn |
| Jun 30, 2025 | 190.34 Mn |
| Mar 31, 2025 | 156.78 Mn |
| Dec 31, 2024 | 164.93 Mn |
| Dec 31, 2023 | 125.06 Mn |
| Dec 31, 2022 | 115.23 Mn |
| Dec 31, 2021 | 102.23 Mn |
| Dec 31, 2020 | 83.20 Mn |
| Mar 31, 2020 | 59.99 Mn |
| Dec 31, 2019 | 62.61 Mn |
| Sep 30, 2019 | 53.69 Mn |
| Jun 30, 2019 | 53.79 Mn |
| Mar 31, 2019 | 50.30 Mn |
| Dec 31, 2018 | 55.99 Mn |
| Sep 30, 2018 | 46.10 Mn |
| Jun 30, 2018 | 45.49 Mn |
| Mar 31, 2018 | 36.19 Mn |
Varonis Systems Accumulated Expenses 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=accumulated-expenses&ticker=VRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();