Banzai International (PARA) EBITDA (2023 - 2026)
Banzai International (PARA) recorded EBITDA of -$4.08 million in Q2 2026, compared with -$4.54 million a year earlier.
Banzai International (PARA) EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Banzai International's EBITDA came in at -$17.67 million as of Jun 30, 2026; for FY2025, it was -$17.31 million.
- Across earlier years, EBITDA came in at -$13.44 million in FY2024, -$9.79 million in FY2023 and -$6.2 million in FY2022.
- Quarterly EBITDA has ranged from -$5.48 million in Q1 2026 to -$2.07 million in Q3 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$5.48 million (Q1 2026), -$3.98 million (Q4 2025) and -$4.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 10.13 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 384.00 Mn |
| 10 | Banzai International | 880,857.82 | -1.01 Mn | 1.82 Mn | -4.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.08 Mn |
| Mar 31, 2026 | -5.48 Mn |
| Dec 31, 2025 | -3.98 Mn |
| Sep 30, 2025 | -4.14 Mn |
| Jun 30, 2025 | -4.54 Mn |
| Mar 31, 2025 | -4.66 Mn |
| Dec 31, 2024 | -3.90 Mn |
| Sep 30, 2024 | -2.23 Mn |
| Jun 30, 2024 | -3.03 Mn |
| Mar 31, 2024 | -2.88 Mn |
| Dec 31, 2023 | -1.74 Mn |
| Sep 30, 2023 | -1.15 Mn |
| Jun 30, 2023 | -1.57 Mn |
| Mar 31, 2023 | -1.96 Mn |
Banzai International EBITDA 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=ebitda&ticker=PARA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();