Parabolic Technologies (PARA) Shares Outstanding (Diluted) (2021 - 2026)
Banzai International (PARA) recorded Weighted Average Shares Outstanding (Diluted) of 162,700 in Q2 2026, compared with 9,556 a year earlier and up 126.0% from the prior quarter.
Parabolic Technologies (PARA) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Banzai International reported Weighted Average Shares Outstanding (Diluted) of 18,915, down 15.1% from FY2024.
- Annual Weighted Average 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, Weighted Average Shares Outstanding (Diluted) came in at 22,291 in FY2024 (-35.0%), 34,269 in FY2023 (-70.1%), 114,509 in FY2022 (-0.4%) and 115,000 in FY2021.
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q3 2022.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) rose in three of the last seven quarters, with growth averaging 68.2%.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 581.1% 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 72,000 (Q1 2026), 18,915 (Q4 2025) and 17,956 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 2.57 Bn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 3.00 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 1.18 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 821.00 Mn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 397.60 Mn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 1.04 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | 1.84 Bn |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 428.05 Mn |
| 10 | Parabolic Technologies | 28,407.68 | -1.86 Mn | 1.82 Mn | 162,700.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162,700.00 |
| Mar 31, 2026 | 72,000.00 |
| Dec 31, 2025 | 18,915.00 |
| Sep 30, 2025 | 17,956.00 |
| Jun 30, 2025 | 9,556.00 |
| Mar 31, 2025 | 119,816.00 |
| Dec 31, 2024 | 22,291.00 |
| Sep 30, 2024 | 15,815.00 |
| Jun 30, 2024 | 1,403.00 |
| Mar 31, 2024 | 86,778.00 |
| Dec 31, 2023 | 34,269.00 |
| Sep 30, 2023 | 45,398.00 |
| Jun 30, 2023 | 53,750.00 |
| Mar 31, 2023 | 54,134.00 |
| Dec 31, 2022 | 114,509.00 |
| Sep 30, 2022 | 230,000.00 |
| Jun 30, 2022 | 110,331.00 |
| Mar 31, 2022 | 115,000.00 |
| Dec 31, 2021 | 115,000.00 |
| Sep 30, 2021 | 230,000.00 |
Parabolic Technologies 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();