Banzai International (PARA) Total Liabilities (2020 - 2026)
Banzai International's Total Liabilities came in at $19.07 million for Q2 2026, down 39.7% from $31.65 million a year earlier and down 18.4% from the prior quarter.
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Analysis
Banzai International (PARA) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Banzai International's Total Liabilities was $23.58 million, down 17.1% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -38.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $28.44 million in FY2024 (-23.5%), $37.16 million in FY2023 (+25.6%), $29.59 million in FY2022 (-88.0%) and $246.74 million in FY2021 (-6.6%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities in data going back to Q4 2020.
- Year-over-year, Total Liabilities has declined for ten consecutive quarters, with an average decline of 24.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2023 (growth of 25.6%), and the weakest in Q4 2022 (a decline of 88.0%).
- Business Quant data shows PARA's Total Liabilities at $23.38 million (Q1 2026), $23.58 million (Q4 2025) and $27.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Banzai International | 2.49 Mn | 592,316.66 | 1.82 Mn | 19.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.07 Mn |
| Mar 31, 2026 | 23.38 Mn |
| Dec 31, 2025 | 23.58 Mn |
| Sep 30, 2025 | 27.55 Mn |
| Jun 30, 2025 | 31.65 Mn |
| Mar 31, 2025 | 30.74 Mn |
| Dec 31, 2024 | 28.44 Mn |
| Sep 30, 2024 | 30.16 Mn |
| Jun 30, 2024 | 35.69 Mn |
| Mar 31, 2024 | 35.28 Mn |
| Dec 31, 2023 | 37.16 Mn |
| Sep 30, 2023 | 67.35 Mn |
| Jun 30, 2023 | 85.01 Mn |
| Mar 31, 2023 | 81.07 Mn |
| Dec 31, 2022 | 29.59 Mn |
| Sep 30, 2022 | 241.75 Mn |
| Jun 30, 2022 | 241.39 Mn |
| Mar 31, 2022 | 244.24 Mn |
| Dec 31, 2021 | 246.74 Mn |
| Sep 30, 2021 | 250.28 Mn |
API Access
Banzai International Total Liabilities 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=total-liabilities&ticker=PARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();