Varonis Systems (VRNS) Other Accumulated Expenses (2015 - 2024)
Varonis Systems (VRNS) recorded Other Accumulated Expenses of $123.26 million in Q3 2024, up 2.9% from $119.78 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Varonis Systems (VRNS) Other Accumulated Expenses (2015 - 2024) Analysis & Trends
At the end of FY2023, Varonis Systems reported Other Accumulated Expenses of $125.06 million, up 8.5% from FY2022.
- Annual Other Accumulated Expenses has increased for four straight years, with a four-year compound annual growth rate of 18.9% (FY2019 to FY2023).
- Across earlier years, Other Accumulated Expenses came in at $115.23 million in FY2022 (+12.7%), $102.23 million in FY2021 (+22.9%), $83.2 million in FY2020 (+32.9%) and $62.61 million in FY2019.
- Quarterly Other Accumulated Expenses has ranged from $62.61 million in Q4 2019 to $125.06 million in Q4 2023 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in seven of the last eight quarters, with growth averaging 8.5%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 41.3% in Q2 2021, against a decline of 0.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $123.01 million (Q2 2024), $109.2 million (Q1 2024) and $125.06 million (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Varonis Systems | 5.46 Bn | 2.50 Bn | 135.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 123.26 Mn |
| Jun 30, 2024 | 123.01 Mn |
| Mar 31, 2024 | 109.20 Mn |
| Dec 31, 2023 | 125.06 Mn |
| Sep 30, 2023 | 119.78 Mn |
| Jun 30, 2023 | 123.34 Mn |
| Mar 31, 2023 | 107.34 Mn |
| Dec 31, 2022 | 115.23 Mn |
| Sep 30, 2022 | 109.25 Mn |
| Jun 30, 2022 | 105.78 Mn |
| Mar 31, 2022 | 92.56 Mn |
| Dec 31, 2021 | 102.23 Mn |
| Sep 30, 2021 | 91.92 Mn |
| Jun 30, 2021 | 91.97 Mn |
| Mar 31, 2021 | 87.03 Mn |
| Dec 31, 2020 | 83.20 Mn |
| Sep 30, 2020 | 66.48 Mn |
| Jun 30, 2020 | 65.09 Mn |
| Dec 31, 2019 | 62.61 Mn |
| Dec 31, 2017 | 9.51 Mn |
API Access
Varonis Systems Other 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=other-accumulated-expenses&ticker=VRNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();