Parabolic Technologies (PARA) Enterprise Value (2021 - 2026)
Banzai International (PARA) recorded Enterprise Value of $426,390 in Q2 2026, down 36.0% from $665,888 a year earlier and down 71.8% from the prior quarter.
Parabolic Technologies (PARA) Enterprise Value (2021 - 2026) Analysis & Trends
On a TTM basis, Banzai International's Enterprise Value came in at -$820,966 as of Jun 30, 2026; for FY2025, it was $1.4 million, down 94.2% from FY2024.
- Annual Enterprise Value has declined for four straight years, with a four-year compound annual growth rate of -91.6% (FY2021 to FY2025).
- Across earlier years, Enterprise Value came in at $23.99 million in FY2024 (-99.2%), $3.01 billion in FY2023 (-74.1%), $11.64 billion in FY2022 (-58.9%) and $28.29 billion in FY2021.
- The Q2 2026 figure is the lowest quarterly Enterprise Value in data going back to Q1 2021.
- On a year-over-year basis, Enterprise Value has declined for 15 consecutive quarters, with an average decline of 84.9% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 27.0% in Q2 2022, against a decline of 100.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.51 million (Q1 2026), $1.4 million (Q4 2025) and $2.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn |
| 10 | Parabolic Technologies | 11,405.27 | -1.88 Mn | 1.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 426,389.91 |
| Mar 31, 2026 | 1.51 Mn |
| Dec 31, 2025 | 1.40 Mn |
| Sep 30, 2025 | 2.66 Mn |
| Jun 30, 2025 | 665,887.88 |
| Mar 31, 2025 | 32.12 Mn |
| Dec 31, 2024 | 23.99 Mn |
| Sep 30, 2024 | 38.51 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 1.23 Bn |
| Dec 31, 2023 | 3.01 Bn |
| Sep 30, 2023 | 4.83 Bn |
| Jun 30, 2023 | 11.34 Bn |
| Mar 31, 2023 | 11.18 Bn |
| Dec 31, 2022 | 11.64 Bn |
| Sep 30, 2022 | 28.78 Bn |
| Jun 30, 2022 | 28.52 Bn |
| Mar 31, 2022 | 28.40 Bn |
| Dec 31, 2021 | 28.29 Bn |
| Sep 30, 2021 | 28.20 Bn |
Parabolic Technologies Enterprise Value 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=enterprise-value&ticker=PARA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();