Banzai International (PARA) Cash & Equivalents (2020 - 2026)
Banzai International's Cash & Equivalents was $646,000 in Q2 2026, down 71.3% from $2.25 million a year earlier but up 371.5% from the prior quarter.
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Analysis
Banzai International (PARA) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Banzai International came in at $259,000, down 76.2% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -31.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $1.09 million in FY2024 (-48.1%), $2.09 million in FY2023 (+104.6%), $1.02 million in FY2022 (+43.8%) and $711,652 in FY2021 (-58.7%).
- Quarterly Cash & Equivalents has moved between $137,000 (Q1 2026) and $4.26 million (Q3 2024) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for four straight quarters, with growth averaging 120.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2024 (growth of 967.2%); the worst was Q1 2026 (a decline of 82.5%).
- Per Business Quant data, PARA's Cash & Equivalents in the three quarters before Q2 2026 was $137,000 (Q1 2026), $259,000 (Q4 2025) and $851,356 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 2.03 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 36.37 Bn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 12.22 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 8.31 Bn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 2.50 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 4.23 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | 295.17 Mn |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | 1.71 Bn |
| 10 | Banzai International | 2.06 Mn | 166,201.32 | 1.82 Mn | 646,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 646,000.00 |
| Mar 31, 2026 | 137,000.00 |
| Dec 31, 2025 | 259,000.00 |
| Sep 30, 2025 | 851,356.00 |
| Jun 30, 2025 | 2.25 Mn |
| Mar 31, 2025 | 780,764.00 |
| Dec 31, 2024 | 1.09 Mn |
| Sep 30, 2024 | 4.26 Mn |
| Jun 30, 2024 | 471,747.00 |
| Mar 31, 2024 | 1.03 Mn |
| Dec 31, 2023 | 2.09 Mn |
| Sep 30, 2023 | 399,511.00 |
| Jun 30, 2023 | 592,590.00 |
| Mar 31, 2023 | 805,181.00 |
| Dec 31, 2022 | 1.02 Mn |
| Sep 30, 2022 | 322,926.00 |
| Jun 30, 2022 | 236,154.00 |
| Mar 31, 2022 | 478,518.00 |
| Dec 31, 2021 | 711,652.00 |
| Sep 30, 2021 | 858,135.00 |
API Access
Banzai International Cash & Equivalents 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=cash-and-equivalents&ticker=PARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();