Parabolic Technologies (PARA) Return on Sales [ROS] (2023 - 2026)
Banzai International's Return on Sales [ROS] came in at -192.96% for Q2 2026, down 38.18 percentage points from -154.78% a year earlier but up 21.43 percentage points from the prior quarter.
Parabolic Technologies (PARA) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Banzai International reported Return on Sales [ROS] of -177.74%, up 7.27 percentage points year-over-year; for FY2025, it came in at -151.83%, up 145.61 percentage points from FY2024.
- Return on Sales [ROS] carries a three-year change of -35.35 percentage points (FY2022 to FY2025).
- Going back by year, Return on Sales [ROS] was -297.44% in FY2024 (-82.69 pp), -214.75% in FY2023 (-98.27 pp) and -116.49% in FY2022.
- The five-year range for quarterly Return on Sales [ROS] is -315.70% (Q2 2024) to -145.22% (Q1 2025).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +49.72 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2025 (a gain of 169.96 percentage points), and the weakest in Q2 2024 (a drop of 138.32 percentage points).
- Business Quant data shows PARA's Return on Sales [ROS] at -214.39% (Q1 2026), -152.52% (Q4 2025) and -155.75% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 34.78% |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 16,670.89% |
| 10 | Parabolic Technologies | 28,407.68 | -1.86 Mn | 1.82 Mn | -192.96% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -192.96% |
| Mar 31, 2026 | -214.39% |
| Dec 31, 2025 | -152.52% |
| Sep 30, 2025 | -155.75% |
| Jun 30, 2025 | -154.78% |
| Mar 31, 2025 | -145.22% |
| Dec 31, 2024 | -301.74% |
| Sep 30, 2024 | -256.50% |
| Jun 30, 2024 | -315.70% |
| Mar 31, 2024 | -315.18% |
| Dec 31, 2023 | -295.50% |
| Sep 30, 2023 | -186.97% |
| Jun 30, 2023 | -177.38% |
| Mar 31, 2023 | -204.55% |
Parabolic Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PARA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PARA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();