Banzai International (PARA) Return on Assets [ROA] (2021 - 2026)
Banzai International's Return on Assets [ROA] came in at -77.42% for Q2 2026, up 24.51 percentage points from -101.94% a year earlier and up 8.99 percentage points from the prior quarter.
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Analysis
Banzai International (PARA) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025, Banzai International's Return on Assets [ROA] was -78.50%, up 125.06 percentage points from FY2024.
- Return on Assets [ROA] carries a four-year change of -83.52 percentage points (FY2021 to FY2025).
- Going back by year, Return on Assets [ROA] was -203.56% in FY2024 (+64.02 pp), -267.58% in FY2023 (-254.50 pp), -13.08% in FY2022 (-18.10 pp) and 5.02% in FY2021.
- The five-year range for quarterly Return on Assets [ROA] is -538.75% (Q3 2024) to 6.24% (Q2 2022).
- Year-over-year, Return on Assets [ROA] has increased for six consecutive quarters, with an average year-over-year change of +64.49 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q3 2025 (a gain of 463.92 percentage points), and the weakest in Q3 2024 (a drop of 463.41 percentage points).
- Business Quant data shows PARA's Return on Assets [ROA] at -86.41% (Q1 2026), -69.61% (Q4 2025) and -74.82% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 27.71% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 6.70% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 10.87% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 8.95% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 5.96% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 6.91% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 12.00% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -56.94% |
| 10 | Banzai International | 1.85 Mn | -46,856.35 | 1.82 Mn | -77.42% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -77.42% |
| Mar 31, 2026 | -86.41% |
| Dec 31, 2025 | -69.61% |
| Sep 30, 2025 | -74.82% |
| Jun 30, 2025 | -101.94% |
| Mar 31, 2025 | -104.01% |
| Dec 31, 2024 | -191.07% |
| Sep 30, 2024 | -538.75% |
| Jun 30, 2024 | -372.18% |
| Mar 31, 2024 | -307.00% |
| Dec 31, 2023 | -69.71% |
| Sep 30, 2023 | -75.34% |
| Jun 30, 2023 | -59.78% |
| Mar 31, 2023 | -87.70% |
| Dec 31, 2022 | -13.06% |
| Sep 30, 2022 | 4.08% |
| Jun 30, 2022 | 6.24% |
| Mar 31, 2022 | 3.14% |
| Dec 31, 2021 | 0.07% |
API Access
Banzai International Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=PARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();