Banzai International (PARA) Non Operating Interest Expenses (2023 - 2026)
Banzai International (PARA) reported Non Operating Interest Expenses of $272,000 for Q2 2026, down 49.3% from $537,000 a year earlier and down 8.4% from the prior quarter.
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Analysis
Banzai International (PARA) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Banzai International's Non Operating Interest Expenses came in at $4.1 million; for FY2025, it came in at $4.23 million, up 396.7% from FY2024.
- Non Operating Interest Expenses has a three-year compound annual growth rate of 21.1% (FY2022 to FY2025).
- By year, Non Operating Interest Expenses came in at $851,000 in FY2024 (-84.7%), $5.55 million in FY2023 (+133.4%) and $2.38 million in FY2022.
- The Q2 2026 figure ranks as the lowest quarterly Non Operating Interest Expenses since Q4 2024.
- Year over year, Non Operating Interest Expenses gained in 1 of the last six quarters, with an average decline of 11.4%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2025 (growth of 96.7%); the low point was Q2 2026 (a decline of 49.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $297,000 (Q1 2026), $1.46 million (Q4 2025) and $2.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | - |
| 10 | Banzai International | 2.31 Mn | 414,768.57 | 1.82 Mn | 272,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 272,000.00 |
| Mar 31, 2026 | 297,000.00 |
| Dec 31, 2025 | 1.46 Mn |
| Sep 30, 2025 | 2.07 Mn |
| Jun 30, 2025 | 537,000.00 |
| Mar 31, 2025 | 487,000.00 |
| Dec 31, 2024 | -2.01 Mn |
| Sep 30, 2024 | 1.05 Mn |
| Jun 30, 2024 | 781,493.00 |
| Mar 31, 2024 | 577,513.00 |
| Dec 31, 2023 | 2.06 Mn |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | 552,403.00 |
| Mar 31, 2023 | 537,878.00 |
API Access
Banzai International Non Operating Interest 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=non-operating-interest-expenses&ticker=PARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();