Varonis Systems (VRNS) Change in Accrued Expenses (2013 - 2026)
Varonis Systems' Change in Accrued Expenses came in at $18.77 million for Q3 2026, up 151.3% from $7.47 million a year earlier but down 32.3% from the prior quarter.
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Analysis
Varonis Systems (VRNS) Change in Accrued Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Varonis Systems reported Change in Accrued Expenses of $61.81 million, up 32.6% year-over-year; for FY2025, it came in at $52.83 million, up 205.1% from FY2024.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 26.9% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was $17.32 million in FY2024, -$5.28 million in FY2023, -$9.12 million in FY2022 and $5.85 million in FY2021 (-63.6%).
- The five-year range for quarterly Change in Accrued Expenses is -$16.84 million (Q1 2024) to $32.68 million (Q2 2025).
- Year-over-year, Change in Accrued Expenses increased in three of the last four quarters, with growth averaging 81.3%.
- Business Quant data shows VRNS's Change in Accrued Expenses at $27.72 million (Q2 2026), -$14.08 million (Q1 2026) and $29.41 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 38.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 256.58 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Varonis Systems | 5.61 Bn | 2.73 Bn | 142.57 Mn | 18.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.77 Mn |
| Jun 30, 2026 | 27.72 Mn |
| Mar 31, 2026 | -14.08 Mn |
| Dec 31, 2025 | 29.41 Mn |
| Sep 30, 2025 | 7.47 Mn |
| Jun 30, 2025 | 32.68 Mn |
| Mar 31, 2025 | -16.73 Mn |
| Dec 31, 2024 | 23.20 Mn |
| Sep 30, 2024 | -1.51 Mn |
| Jun 30, 2024 | 12.47 Mn |
| Mar 31, 2024 | -16.84 Mn |
| Mar 31, 2020 | -6.92 Mn |
| Dec 31, 2019 | 6.79 Mn |
| Sep 30, 2019 | -3.10 Mn |
| Jun 30, 2019 | 2.79 Mn |
| Mar 31, 2019 | -7.36 Mn |
| Dec 31, 2018 | 7.99 Mn |
| Sep 30, 2018 | 1.71 Mn |
| Jun 30, 2018 | 8.42 Mn |
| Mar 31, 2018 | -8.20 Mn |
API Access
Varonis Systems Change in Accrued 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=change-in-accured-expenses&ticker=VRNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();