Parabolic Technologies (PARA) Tax Provisions (2022 - 2026)
Banzai International's Tax Provisions was -$81,000 in Q2 2026, compared with -$231,000 a year earlier.
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Analysis
Parabolic Technologies (PARA) Tax Provisions (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Banzai International's Tax Provisions was $85,055 through Jun 30, 2026; for FY2025, it came in at $60,617.
- Quarterly Tax Provisions has moved between -$231,000 (Q2 2025) and $270,109 (Q3 2025) over five years.
- Per Business Quant data, PARA's Tax Provisions in the three quarters before Q2 2026 was -$52,000 (Q1 2026), -$52,054 (Q4 2025) and $270,109 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 13.56 Mn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 847.00 Mn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 1.03 Bn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 329.70 Mn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 93.00 Mn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 177.00 Mn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 1.41 Bn |
| 10 | Parabolic Technologies | 11,405.27 | -1.88 Mn | 1.82 Mn | -81,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -81,000.00 |
| Mar 31, 2026 | -52,000.00 |
| Dec 31, 2025 | -52,054.00 |
| Sep 30, 2025 | 270,109.00 |
| Jun 30, 2025 | -231,000.00 |
| Mar 31, 2025 | 74,000.00 |
| Dec 31, 2024 | -6,701.00 |
| Sep 30, 2024 | 1,010.00 |
| Jun 30, 2024 | 6,624.00 |
| Mar 31, 2024 | -933.00 |
| Dec 31, 2023 | -17,081.00 |
| Sep 30, 2023 | 1,332.00 |
| Jun 30, 2023 | 12,472.00 |
| Mar 31, 2023 | 3,277.00 |
| Dec 31, 2022 | -223,703.00 |
| Sep 30, 2022 | 212,639.00 |
| Jun 30, 2022 | 11,064.00 |
API Access
Parabolic Technologies Tax Provisions 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=tax-provisions&ticker=PARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();