Parabolic Technologies (PARA) Change in Receivables (2023 - 2026)
Banzai International's Change in Receivables was -$289,000 in Q2 2026, compared with -$159,000 a year earlier.
Parabolic Technologies (PARA) Change in Receivables (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Banzai International's Change in Receivables was -$477,987 through Jun 30, 2026; for FY2025, it came in at -$209,987.
- In earlier years, Change in Receivables was -$15,828 in FY2024, -$65,479 in FY2023 and $86,308 in FY2022.
- The Q2 2026 figure marks the lowest quarterly Change in Receivables in data going back to Q1 2023.
- Per Business Quant data, PARA's Change in Receivables in the three quarters before Q2 2026 was -$56,000 (Q1 2026), -$159,007 (Q4 2025) and $26,020 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 409.64 Mn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 1.01 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 1.40 Bn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 21.50 Mn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 29.00 Mn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | -208.00 Mn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 4.81 Mn |
| 10 | Parabolic Technologies | 11,405.27 | -1.88 Mn | 1.82 Mn | -289,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -289,000.00 |
| Mar 31, 2026 | -56,000.00 |
| Dec 31, 2025 | -159,007.00 |
| Sep 30, 2025 | 26,020.00 |
| Jun 30, 2025 | -159,000.00 |
| Mar 31, 2025 | 82,000.00 |
| Dec 31, 2024 | 51,781.00 |
| Sep 30, 2024 | 13,470.00 |
| Jun 30, 2024 | -8,509.00 |
| Mar 31, 2024 | -72,570.00 |
| Dec 31, 2023 | -95,340.00 |
| Sep 30, 2023 | 57,029.00 |
| Jun 30, 2023 | 47,778.00 |
| Mar 31, 2023 | -74,946.00 |
Parabolic Technologies Change in Receivables 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=change-in-receivables&ticker=PARA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();