Banzai International (PARA) Total Current Liabilities (2020 - 2026)
Banzai International's Total Current Liabilities came in at $18.01 million for Q2 2026, down 40.4% from $30.24 million a year earlier and down 18.9% from the prior quarter.
Banzai International (PARA) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Banzai International's Total Current Liabilities was $22.37 million, down 20.8% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 174.3% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $28.26 million in FY2024 (-23.8%), $37.09 million in FY2023 (+26.7%), $29.28 million in FY2022 and $1.52 million in FY2021 (+955.7%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities since Q3 2023.
- Year-over-year, Total Current Liabilities has declined for seven consecutive quarters, with growth averaging 14.5% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2021 (growth of 955.7%), and the weakest in Q2 2026 (a decline of 40.4%).
- Business Quant data shows PARA's Total Current Liabilities at $22.22 million (Q1 2026), $22.37 million (Q4 2025) and $26.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.54 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 47.51 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.94 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 26.34 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 12.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 50.02 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.16 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 8.81 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 495.11 Mn |
| 10 | Banzai International | 2.49 Mn | 592,316.66 | 1.82 Mn | 18.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.01 Mn |
| Mar 31, 2026 | 22.22 Mn |
| Dec 31, 2025 | 22.37 Mn |
| Sep 30, 2025 | 26.05 Mn |
| Jun 30, 2025 | 30.24 Mn |
| Mar 31, 2025 | 29.27 Mn |
| Dec 31, 2024 | 28.26 Mn |
| Sep 30, 2024 | 30.08 Mn |
| Jun 30, 2024 | 35.61 Mn |
| Mar 31, 2024 | 35.21 Mn |
| Dec 31, 2023 | 37.09 Mn |
| Sep 30, 2023 | 8.11 Mn |
| Jun 30, 2023 | 25.69 Mn |
| Mar 31, 2023 | 6.03 Mn |
| Dec 31, 2022 | 29.28 Mn |
| Sep 30, 2022 | 2.64 Mn |
| Jun 30, 2022 | 1.65 Mn |
| Mar 31, 2022 | 1.67 Mn |
| Dec 31, 2021 | 1.52 Mn |
| Sep 30, 2021 | 1.15 Mn |
Banzai International Total Current 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-current-liabilities&ticker=PARA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();