Varonis Systems (VRNS) Accumulated Expenses (2013 - 2026)
Varonis Systems (VRNS) reported Accumulated Expenses of $195.99 million for Q3 2026, up 1.5% from $193.07 million a year earlier and up 13.0% from the prior quarter.
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Analysis
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%).
- Five-year quarterly Accumulated Expenses spans a low of $102.23 million in Q4 2021 and a high of $225.41 million in Q4 2025.
- Year over year, Accumulated Expenses gained in four of the last five quarters, with growth averaging 19.2%.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2025 (growth of 36.7%); the low point was Q2 2026 (a decline of 8.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $173.41 million (Q2 2026), $211.47 million (Q1 2026) and $225.41 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Varonis Systems | 5.61 Bn | 2.73 Bn | 142.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 195.99 Mn |
| 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 |
API Access
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_KEYimport 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();