Parabolic Technologies (PARA) Exchange Rate Effect (2025 - 2026)
Banzai International (PARA) reported Exchange Rate Effect of -$1,000 for Q2 2026.
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Analysis
Parabolic Technologies (PARA) Exchange Rate Effect (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Banzai International's Exchange Rate Effect came in at -$45,216; for FY2025, it was -$76,216.
- Five-year quarterly Exchange Rate Effect spans a low of -$70,761 in Q3 2025 and a high of $32,000 in Q1 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at $32,000 (Q1 2026), -$5,455 (Q4 2025) and -$70,761 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 2.09 Mn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 11.00 Mn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | -75.00 Mn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 6.60 Mn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 1.00 Mn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | -1.26 Mn |
| 10 | Parabolic Technologies | 11,405.27 | -1.88 Mn | 1.82 Mn | -1,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,000.00 |
| Mar 31, 2026 | 32,000.00 |
| Dec 31, 2025 | -5,455.00 |
| Sep 30, 2025 | -70,761.00 |
API Access
Parabolic Technologies Exchange Rate Effect 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=exchange-rate-effect&ticker=PARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();