AvePoint (AVPT) Shares Outstanding (Entity) (2019 - 2026)
AvePoint (AVPT) reported Shares Outstanding (Entity) of 211.43 million for Q2 2026, up 0.1% from 211.14 million a year earlier but down 0.2% from the prior quarter.
AvePoint (AVPT) Shares Outstanding (Entity) (2019 - 2026) Analysis & Trends
For FY2025, AvePoint posted Shares Outstanding (Entity) of 215.08 million, up 10.8% from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of 43.8% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 194.07 million in FY2024 (+5.1%), 184.65 million in FY2023 (-0.3%), 185.28 million in FY2022 (+30.8%) and 141.6 million in FY2021 (+304.6%).
- Five-year quarterly Shares Outstanding (Entity) spans a low of 141.6 million in Q4 2021 and a high of 215.08 million in Q4 2025.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last nine quarters, with growth averaging 7.3% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q1 2022 (growth of 421.4%); the low point was Q1 2024 (a decline of 0.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 211.85 million (Q1 2026), 215.08 million (Q4 2025) and 212.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 815.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 733.60 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 352.46 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 358.96 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 167.14 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 81.24 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 163.06 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | AvePoint | 2.98 Bn | 1.16 Bn | 91.01 Mn | 211.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 211.43 Mn |
| Mar 31, 2026 | 211.85 Mn |
| Dec 31, 2025 | 215.08 Mn |
| Sep 30, 2025 | 212.59 Mn |
| Jun 30, 2025 | 211.14 Mn |
| Mar 31, 2025 | 203.03 Mn |
| Dec 31, 2024 | 194.07 Mn |
| Sep 30, 2024 | 187.43 Mn |
| Jun 30, 2024 | 186.66 Mn |
| Mar 31, 2024 | 185.22 Mn |
| Dec 31, 2023 | 184.65 Mn |
| Sep 30, 2023 | 184.00 Mn |
| Jun 30, 2023 | 185.72 Mn |
| Mar 31, 2023 | 186.79 Mn |
| Dec 31, 2022 | 185.28 Mn |
| Sep 30, 2022 | 184.46 Mn |
| Jun 30, 2022 | 181.33 Mn |
| Mar 31, 2022 | 182.49 Mn |
| Dec 31, 2021 | 141.60 Mn |
| Sep 30, 2021 | 181.01 Mn |
AvePoint Shares Outstanding (Entity) 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-entity&ticker=AVPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "AVPT", "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-entity&ticker=AVPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();