Parabolic Technologies (PARA) Accumulated Expenses (2020 - 2026)
Banzai International (PARA) reported Accumulated Expenses of $3.48 million for Q2 2026, down 21.0% from $4.41 million a year earlier and down 14.4% from the prior quarter.
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Analysis
Parabolic Technologies (PARA) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Banzai International posted Accumulated Expenses of $4.35 million, up 11.9% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 128.4% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $3.89 million in FY2024 (-25.1%), $5.19 million in FY2023 (+596.9%), $745,373 in FY2022 (-25.7%) and $1 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q3 2023.
- Year over year, Accumulated Expenses gained in six of the last eight quarters, with growth averaging 2.5%.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2023 (growth of 596.9%); the low point was Q3 2022 (a decline of 28.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.07 million (Q1 2026), $4.35 million (Q4 2025) and $4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn |
| 10 | Parabolic Technologies | 28,407.68 | -1.86 Mn | 1.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.48 Mn |
| Mar 31, 2026 | 4.07 Mn |
| Dec 31, 2025 | 4.35 Mn |
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 4.41 Mn |
| Mar 31, 2025 | 4.03 Mn |
| Dec 31, 2024 | 3.89 Mn |
| Sep 30, 2024 | 3.80 Mn |
| Jun 30, 2024 | 4.26 Mn |
| Mar 31, 2024 | 3.86 Mn |
| Dec 31, 2023 | 5.19 Mn |
| Sep 30, 2023 | 2.71 Mn |
| Jun 30, 2023 | 2.68 Mn |
| Mar 31, 2023 | 2.17 Mn |
| Dec 31, 2022 | 745,373.00 |
| Sep 30, 2022 | 713,696.00 |
| Jun 30, 2022 | 977,865.00 |
| Mar 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Sep 30, 2021 | 994,770.00 |
API Access
Parabolic Technologies Accumulated 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=accumulated-expenses&ticker=PARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();