Rapid Line (RPDL) Return on Sales [ROS] (2023 - 2024)
Rapid Line's Return on Sales [ROS] was -606.07% in fiscal Q3 2025 (quarter ended Oct 31, 2024), down 482.13 percentage points from -123.94% a year earlier and down 258.49 percentage points from the prior quarter.
Rapid Line (RPDL) Return on Sales [ROS] (2023 - 2024) Analysis & Trends
For FY2024 (ended Jan 31, 2024), Return on Sales [ROS] at Rapid Line came in at -515.99%, down 163.76 percentage points from FY2023.
- In earlier fiscal years, Return on Sales [ROS] was -352.22% in FY2023.
- Quarterly Return on Sales [ROS] has moved between -650.05% (fiscal Q1 2025) and 11.71% (fiscal Q4 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in 1 of the last four quarters, with an average year-over-year change of -138.35 percentage points.
- Per Business Quant data, RPDL's Return on Sales [ROS] in the three fiscal quarters before Q3 2025 was -347.58% (Q2 2025), -650.05% (Q1 2025) and -18.40% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 21.12% |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 15.95% |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 2.98% |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 6.52% |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 15.85% |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 3.78% |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 2.79% |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 1.62% |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 10.76% |
| 10 | Rapid Line | 690,222.49 | 644,964.49 | - | - |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2024 | -606.07% |
| Jul 31, 2024 | -347.58% |
| Apr 30, 2024 | -650.05% |
| Jan 31, 2024 | -18.40% |
| Oct 31, 2023 | -123.94% |
| Jul 31, 2023 | -632.52% |
| Apr 30, 2023 | -323.95% |
| Jan 31, 2023 | 11.71% |
Rapid Line 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=RPDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RPDL", "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=RPDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();