Parabolic Technologies (PARA) Times Interest Earned (2023 - 2026)
Banzai International's (PARA) Times Interest Earned came in at -16.13 for Q2 2026, compared with -9.01 a year earlier.
Parabolic Technologies (PARA) Times Interest Earned (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Times Interest Earned at Banzai International was -4.61; for FY2025, it was -4.37.
- In prior years, Banzai International's Times Interest Earned was -15.83 in FY2024, -1.76 in FY2023 and -2.61 in FY2022.
- Quarterly Times Interest Earned has run from a low of -19.46 in Q1 2026 to a high of -1.38 in Q3 2023 over five years.
- According to Business Quant data, Times Interest Earned for the three prior quarters was -19.46 (Q1 2026), -2.93 (Q4 2025) and -2.14 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | - |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 4.71 |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 4.93 |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | -11.15 |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 4.75 |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 6.79 |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 1,359.54 |
| 10 | Parabolic Technologies | 11,405.27 | -1.88 Mn | 1.82 Mn | -16.13 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -16.13 |
| Mar 31, 2026 | -19.46 |
| Dec 31, 2025 | -2.93 |
| Sep 30, 2025 | -2.14 |
| Jun 30, 2025 | -9.01 |
| Mar 31, 2025 | -10.08 |
| Dec 31, 2024 | -1.95 |
| Sep 30, 2024 | -2.64 |
| Jun 30, 2024 | -4.32 |
| Mar 31, 2024 | -5.89 |
| Dec 31, 2023 | -1.55 |
| Sep 30, 2023 | -1.38 |
| Jun 30, 2023 | -3.83 |
| Mar 31, 2023 | -4.48 |
Parabolic Technologies Times Interest Earned 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=times-interest-earned&ticker=PARA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();