Varonis Systems (VRNS) Other Operating Expenses (2013 - 2026)
Varonis Systems (VRNS) reported Other Operating Expenses of $112.72 million for Q3 2026, up 10.9% from $101.61 million a year earlier and up 4.6% from the prior quarter.
Varonis Systems (VRNS) Other Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Varonis Systems' Other Operating Expenses came in at $435.09 million, up 8.3% year-over-year; for FY2025, it was $407.18 million, up 4.0% from FY2024.
- Other Operating Expenses has increased for 13 consecutive years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $391.69 million in FY2024 (+0.4%), $389.98 million in FY2023 (+1.8%), $383.14 million in FY2022 (+24.1%) and $308.8 million in FY2021 (+31.4%).
- The Q3 2026 figure ranks as the highest quarterly Other Operating Expenses in data going back to Q1 2013.
- Year over year, Other Operating Expenses has now increased in each of the last nine quarters, with growth averaging 5.7% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q4 2021 (growth of 40.5%); the low point was Q2 2024 (a decline of 6.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $107.81 million (Q2 2026), $108.53 million (Q1 2026) and $106.04 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 80.94 Mn |
| Jun 30, 2026 | 78.98 Mn |
| Mar 31, 2026 | 80.34 Mn |
| Dec 31, 2025 | 77.98 Mn |
| Sep 30, 2025 | 74.03 Mn |
| Jun 30, 2025 | 76.58 Mn |
| Mar 31, 2025 | 72.76 Mn |
| Dec 31, 2024 | 76.12 Mn |
| Sep 30, 2024 | 71.38 Mn |
| Jun 30, 2024 | 70.04 Mn |
| Mar 31, 2024 | 71.23 Mn |
| Dec 31, 2023 | 70.57 Mn |
| Sep 30, 2023 | 68.61 Mn |
| Jun 30, 2023 | 70.32 Mn |
| Mar 31, 2023 | 68.39 Mn |
| Dec 31, 2022 | 71.78 Mn |
| Sep 30, 2022 | 69.81 Mn |
| Jun 30, 2022 | 68.71 Mn |
| Mar 31, 2022 | 64.79 Mn |
| Dec 31, 2021 | 67.67 Mn |
Varonis Systems Other Operating 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=other-operating-expenses&ticker=VRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();