Banzai International (PARA) Operating Expenses (2021 - 2026)
Banzai International (PARA) posted Operating Expenses of $6.21 million for Q2 2026, down 16.2% from $7.41 million a year earlier and down 21.9% from the prior quarter.
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Analysis
Banzai International (PARA) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Banzai International was $27.51 million, up 17.3% year-over-year; for FY2025, it came in at $28.44 million, up 71.6% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 263.3% (FY2020 to FY2025).
- In prior years, Banzai International's Operating Expenses was $16.57 million in FY2024 (+28.4%), $12.91 million in FY2023 (+34.7%), $9.59 million in FY2022 (+286.6%) and $2.48 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 41.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 834.1%; the weakest was Q2 2022, with a decline of 82.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $7.96 million (Q1 2026), $6.59 million (Q4 2025) and $6.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Banzai International | 2.49 Mn | 592,316.66 | 1.82 Mn | 6.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.21 Mn |
| Mar 31, 2026 | 7.96 Mn |
| Dec 31, 2025 | 6.59 Mn |
| Sep 30, 2025 | 6.76 Mn |
| Jun 30, 2025 | 7.41 Mn |
| Mar 31, 2025 | 7.68 Mn |
| Dec 31, 2024 | 4.85 Mn |
| Sep 30, 2024 | 3.51 Mn |
| Jun 30, 2024 | 4.11 Mn |
| Mar 31, 2024 | 4.10 Mn |
| Dec 31, 2023 | 3.97 Mn |
| Sep 30, 2023 | 2.84 Mn |
| Jun 30, 2023 | 2.93 Mn |
| Mar 31, 2023 | 3.17 Mn |
| Dec 31, 2022 | 7.58 Mn |
| Sep 30, 2022 | 1.12 Mn |
| Jun 30, 2022 | 233,847.00 |
| Mar 31, 2022 | 339,632.00 |
| Dec 31, 2021 | 559,195.00 |
| Sep 30, 2021 | 197,594.00 |
API Access
Banzai International Operating Expenses 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=operating-expenses&ticker=PARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();