Banzai International (PARA) Enterprise Value (2021 - 2026)
Banzai International (PARA) recorded Enterprise Value of $10.08 million in Q2 2026, down 62.6% from $26.94 million a year earlier and down 38.4% from the prior quarter.
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Analysis
Banzai International (PARA) Enterprise Value (2021 - 2026) Analysis & Trends
On a TTM basis, Banzai International's Enterprise Value came in at $8.83 million as of Jun 30, 2026, down 57.6% year-over-year; for FY2025, it was $16.34 million, down 93.5% from FY2024.
- Annual Enterprise Value has declined for four straight years, with a four-year compound annual growth rate of -91.3% (FY2021 to FY2025).
- Across earlier years, Enterprise Value came in at $249.68 million in FY2024 (-99.2%), $30.11 billion in FY2023 (-74.0%), $115.93 billion in FY2022 (-58.7%) and $280.83 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 four consecutive quarters, with an average decline of 77.9% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 27.1% 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 $16.36 million (Q1 2026), $16.34 million (Q4 2025) and $34.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Banzai International | 2.49 Mn | 592,316.66 | 1.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.08 Mn |
| Mar 31, 2026 | 16.36 Mn |
| Dec 31, 2025 | 16.34 Mn |
| Sep 30, 2025 | 34.28 Mn |
| Jun 30, 2025 | 26.94 Mn |
| Mar 31, 2025 | 328.20 Mn |
| Dec 31, 2024 | 249.68 Mn |
| Sep 30, 2024 | 423.50 Mn |
| Jun 30, 2024 | 23.39 Mn |
| Mar 31, 2024 | 12.35 Bn |
| Dec 31, 2023 | 30.11 Bn |
| Sep 30, 2023 | 48.02 Bn |
| Jun 30, 2023 | 113.12 Bn |
| Mar 31, 2023 | 111.35 Bn |
| Dec 31, 2022 | 115.93 Bn |
| Sep 30, 2022 | 285.72 Bn |
| Jun 30, 2022 | 283.13 Bn |
| Mar 31, 2022 | 281.98 Bn |
| Dec 31, 2021 | 280.83 Bn |
| Sep 30, 2021 | 279.97 Bn |
API Access
Banzai International 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_KEYimport 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();