Rapid Line (RPDL) Enterprise Value (2024 - 2026)
Rapid Line's Enterprise Value came in at $608,876 for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 109.5% from $290,620 a year earlier and up 23.7% from the prior quarter.
Rapid Line (RPDL) Enterprise Value (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Rapid Line reported Enterprise Value of $572,310, up 97.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $671,141, down 63.8% from FY2025.
- Going back by fiscal year, Enterprise Value was $1.85 million in FY2025.
- The five-year range for quarterly Enterprise Value is $289,522 (fiscal Q3 2026) to $2.36 million (fiscal Q1 2026).
- Year-over-year, Enterprise Value increased in two of the last six quarters, with an average decline of 29.1%.
- Business Quant data shows RPDL's Enterprise Value at $492,198 (Q1 2027), $671,141 (Q4 2026) and $289,522 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn |
| 10 | Rapid Line | 490,421.27 | 445,163.27 | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 608,875.51 |
| Apr 30, 2026 | 492,198.00 |
| Jan 31, 2026 | 671,141.49 |
| Oct 31, 2025 | 289,521.99 |
| Jul 31, 2025 | 290,619.99 |
| Apr 30, 2025 | 2.36 Mn |
| Jan 31, 2025 | 1.85 Mn |
| Oct 31, 2024 | 1.85 Mn |
| Jul 31, 2024 | 1.85 Mn |
| Apr 30, 2024 | 1.85 Mn |
Rapid Line Enterprise Value 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=enterprise-value&ticker=RPDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=RPDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();