Varonis Systems (VRNS) Shares Outstanding (2013 - 2026)
Varonis Systems (VRNS) reported Weighted Average Shares Outstanding of 115 million for Q3 2026, unchanged from 114.97 million a year earlier and up 0.2% from the prior quarter.
Varonis Systems (VRNS) Shares Outstanding (2013 - 2026) Analysis & Trends
For FY2025, Varonis Systems posted Weighted Average Shares Outstanding of 114.41 million, up 2.5% from FY2024.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 111.66 million in FY2024 (+2.3%), 109.14 million in FY2023 (-0.1%), 109.28 million in FY2022 (+3.8%) and 105.31 million in FY2021 (+11.6%).
- Five-year quarterly Weighted Average Shares Outstanding spans a low of 105.31 million in Q4 2021 and a high of 115.79 million in Q1 2026.
- Year over year, Weighted Average Shares Outstanding gained in seven of the last eight quarters, with growth averaging 1.9%.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q4 2021 (growth of 11.6%); the low point was Q3 2023 (a decline of 0.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 114.82 million (Q2 2026), 115.79 million (Q1 2026) and 114.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 749.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 349.26 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 734.20 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 358.62 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 160.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 174.30 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 80.57 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 80.50 Mn |
| 10 | Varonis Systems | 5.61 Bn | 2.73 Bn | 142.57 Mn | 115.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 115.00 Mn |
| Jun 30, 2026 | 114.82 Mn |
| Mar 31, 2026 | 115.79 Mn |
| Dec 31, 2025 | 114.41 Mn |
| Sep 30, 2025 | 114.97 Mn |
| Jun 30, 2025 | 112.05 Mn |
| Mar 31, 2025 | 112.65 Mn |
| Dec 31, 2024 | 111.66 Mn |
| Sep 30, 2024 | 112.27 Mn |
| Jun 30, 2024 | 111.89 Mn |
| Mar 31, 2024 | 109.99 Mn |
| Dec 31, 2023 | 109.14 Mn |
| Sep 30, 2023 | 109.43 Mn |
| Jun 30, 2023 | 109.74 Mn |
| Mar 31, 2023 | 108.39 Mn |
| Dec 31, 2022 | 109.28 Mn |
| Sep 30, 2022 | 110.00 Mn |
| Jun 30, 2022 | 109.68 Mn |
| Mar 31, 2022 | 108.20 Mn |
| Dec 31, 2021 | 105.31 Mn |
Varonis Systems Shares Outstanding 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=shares-outstanding&ticker=VRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();