Rapid Line (RPDL) Operating Expenses (2022 - 2026)
Rapid Line's Operating Expenses came in at $42,900 for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 52.1% from $28,197 a year earlier but down 13.0% from the prior quarter.
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Analysis
Rapid Line (RPDL) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Rapid Line reported Operating Expenses of $192,651, up 282.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $145,097, up 426.4% from FY2025.
- Operating Expenses carries a four-year compound annual growth rate of 275.3% (FY2022 to FY2026).
- Going back by fiscal year, Operating Expenses was $27,565 in FY2025 (-42.6%), $48,047 in FY2024 (+68.6%), $28,490 in FY2023 and $731.00 in FY2022.
- The five-year range for quarterly Operating Expenses is $2,254 (fiscal Q2 2025) to $59,999 (fiscal Q3 2026).
- Year-over-year, Operating Expenses increased in two of the last five quarters, with growth averaging 25.7%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2024 (growth of 303.4%), and the weakest in fiscal Q2 2025 (a decline of 91.3%).
- Business Quant data shows RPDL's Operating Expenses at $49,299 (Q1 2027), $40,453 (Q4 2026) and $59,999 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 822.22 Mn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 12.44 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 747.88 Mn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 634.01 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 722.71 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Rapid Line | 690,222.49 | 644,964.49 | - | 42,900.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 42,900.00 |
| Apr 30, 2026 | 49,299.00 |
| Jan 31, 2026 | 40,453.00 |
| Oct 31, 2025 | 59,999.00 |
| Jul 31, 2025 | 28,197.00 |
| Apr 30, 2025 | 16,448.00 |
| Jan 31, 2025 | 2,883.00 |
| Oct 31, 2024 | 2,806.00 |
| Jul 31, 2024 | 2,254.00 |
| Apr 30, 2024 | 19,622.00 |
| Jan 31, 2024 | 4,973.00 |
| Oct 31, 2023 | 8,062.00 |
| Jul 31, 2023 | 25,847.00 |
| Apr 30, 2023 | 9,165.00 |
| Jan 31, 2023 | 5,562.00 |
| Oct 31, 2022 | 5,575.00 |
| Jul 31, 2022 | 6,407.00 |
| Apr 30, 2022 | 10,947.00 |
API Access
Rapid Line Operating Expenses 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=operating-expenses&ticker=RPDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RPDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();