AvePoint (AVPT) Shares Outstanding (Diluted) (2019 - 2026)
AvePoint (AVPT) reported Shares Outstanding (Diluted) of 220.86 million for Q2 2026, down 3.6% from 229.18 million a year earlier and down 2.3% from the prior quarter.
AvePoint (AVPT) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, AvePoint posted Shares Outstanding (Diluted) of 229.29 million, up 24.8% from FY2024.
- Shares Outstanding (Diluted) has increased for six consecutive years, with a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 183.72 million in FY2024 (+0.8%), 182.26 million in FY2023 (+0.2%), 181.96 million in FY2022 (+28.5%) and 141.6 million in FY2021 (+58.0%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q4 2024.
- Year over year, Shares Outstanding (Diluted) gained in seven of the last eight quarters, with growth averaging 12.3%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2022 (growth of 422.4%); the low point was Q2 2026 (a decline of 3.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 226.11 million (Q1 2026), 229.29 million (Q4 2025) and 232.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 42.88 Mn |
| 10 | AvePoint | 2.98 Bn | 1.16 Bn | 91.01 Mn | 220.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 220.86 Mn |
| Mar 31, 2026 | 226.11 Mn |
| Dec 31, 2025 | 229.29 Mn |
| Sep 30, 2025 | 232.90 Mn |
| Jun 30, 2025 | 229.18 Mn |
| Mar 31, 2025 | 224.57 Mn |
| Dec 31, 2024 | 183.72 Mn |
| Sep 30, 2024 | 203.86 Mn |
| Jun 30, 2024 | 182.80 Mn |
| Mar 31, 2024 | 181.50 Mn |
| Dec 31, 2023 | 182.26 Mn |
| Sep 30, 2023 | 181.77 Mn |
| Jun 30, 2023 | 183.32 Mn |
| Mar 31, 2023 | 182.82 Mn |
| Dec 31, 2022 | 181.96 Mn |
| Sep 30, 2022 | 180.73 Mn |
| Jun 30, 2022 | 182.49 Mn |
| Mar 31, 2022 | 182.83 Mn |
| Dec 31, 2021 | 141.60 Mn |
| Sep 30, 2021 | 176.62 Mn |
AvePoint Shares Outstanding (Diluted) 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-diluted&ticker=AVPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=AVPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();