Banzai International (PARA) Shares Outstanding (Diluted) (2021 - 2026)
Banzai International (PARA) recorded Shares Outstanding (Diluted) of 1.63 million in Q2 2026, compared with 95,564 a year earlier and up 126.0% from the prior quarter.
Banzai International (PARA) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Banzai International reported Shares Outstanding (Diluted) of 189,150, down 15.1% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for four straight years, with a four-year compound annual growth rate of -36.3% (FY2021 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 222,908 in FY2024 (-35.0%), 342,687 in FY2023 (-70.1%), 1.15 million in FY2022 (-0.4%) and 1.15 million in FY2021.
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) since Q3 2022.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in three of the last seven quarters, with growth averaging 68.2%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 580.9% in Q2 2025, against a decline of 97.4% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 720,000 (Q1 2026), 189,150 (Q4 2025) and 179,561 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.00 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.84 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Banzai International | 2.31 Mn | 414,768.57 | 1.82 Mn | 1.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Mn |
| Mar 31, 2026 | 720,000.00 |
| Dec 31, 2025 | 189,150.00 |
| Sep 30, 2025 | 179,561.00 |
| Jun 30, 2025 | 95,564.00 |
| Mar 31, 2025 | 1.20 Mn |
| Dec 31, 2024 | 222,908.00 |
| Sep 30, 2024 | 158,145.00 |
| Jun 30, 2024 | 14,034.00 |
| Mar 31, 2024 | 867,780.00 |
| Dec 31, 2023 | 342,687.00 |
| Sep 30, 2023 | 453,982.00 |
| Jun 30, 2023 | 537,499.00 |
| Mar 31, 2023 | 541,339.00 |
| Dec 31, 2022 | 1.15 Mn |
| Sep 30, 2022 | 2.30 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 1.15 Mn |
| Dec 31, 2021 | 1.15 Mn |
| Sep 30, 2021 | 2.30 Mn |
Banzai International 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=PARA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PARA", "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=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();