Banzai International (PARA) Change in Accured Expenses (2021 - 2026)
Banzai International's Change in Accured Expenses was $79,000 in Q2 2026, down 78.9% from $375,000 a year earlier.
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Analysis
Banzai International (PARA) Change in Accured Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Banzai International's Change in Accured Expenses was -$258,579 through Jun 30, 2026; for FY2025, it was $110,421, down 77.8% from FY2024.
- Change in Accured Expenses shows a four-year compound annual growth rate of -41.4% (FY2021 to FY2025).
- In earlier years, Change in Accured Expenses was $498,051 in FY2024 (-88.8%), $4.45 million in FY2023, $384,641 in FY2022 (-58.8%) and $933,760 in FY2021.
- Quarterly Change in Accured Expenses has moved between -$524,713 (Q1 2024) and $4.58 million (Q4 2023) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q4 2023 (growth of 656.9%); the worst was Q2 2022 (a decline of 91.0%).
- Per Business Quant data, PARA's Change in Accured Expenses in the three quarters before Q2 2026 was -$286,000 (Q1 2026), $358,455 (Q4 2025) and -$410,034 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Banzai International | 1.85 Mn | -46,856.35 | 1.82 Mn | 79,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79,000.00 |
| Mar 31, 2026 | -286,000.00 |
| Dec 31, 2025 | 358,455.00 |
| Sep 30, 2025 | -410,034.00 |
| Jun 30, 2025 | 375,000.00 |
| Mar 31, 2025 | -213,000.00 |
| Dec 31, 2024 | 513,781.00 |
| Sep 30, 2024 | 107,669.00 |
| Jun 30, 2024 | 401,314.00 |
| Mar 31, 2024 | -524,713.00 |
| Dec 31, 2023 | 4.58 Mn |
| Sep 30, 2023 | 208,305.00 |
| Jun 30, 2023 | -136,108.00 |
| Mar 31, 2023 | -200,224.00 |
| Dec 31, 2022 | 604,705.00 |
| Sep 30, 2022 | -378,441.00 |
| Jun 30, 2022 | 75,067.00 |
| Mar 31, 2022 | 83,310.00 |
| Dec 31, 2021 | 8,990.00 |
| Sep 30, 2021 | -9,000.00 |
API Access
Banzai International Change in Accured 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=change-in-accured-expenses&ticker=PARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();