Rapid Line (RPDL) Change in Accured Expenses (2022 - 2026)
Rapid Line (RPDL) reported Change in Accured Expenses of -$12,480 for fiscal Q4 2026 (quarter ended Jan 31, 2026), compared with $4,100 a year earlier.
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Analysis
Rapid Line (RPDL) Change in Accured Expenses (2022 - 2026) Analysis & Trends
Dating back to fiscal Q1 2023, Rapid Line's Change in Accured Expenses record includes 14 quarters.
- By fiscal year, Change in Accured Expenses came in at $4,100 in FY2025 (unchanged), $4,100 in FY2024 (unchanged), $4,100 in FY2023 and $180.00 in FY2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$12,480 in fiscal Q2 2026 and a high of $12,480 in fiscal Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | - |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 105.67 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 100.83 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | -86.93 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | -67.67 Mn |
| 10 | Rapid Line | 690,222.49 | 644,964.49 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -12,480.00 |
| Oct 31, 2025 | 12,480.00 |
| Jul 31, 2025 | -12,480.00 |
| Jan 31, 2025 | 4,100.00 |
| Jul 31, 2024 | -1,025.00 |
| Apr 30, 2024 | 1,025.00 |
| Jan 31, 2024 | 1,025.00 |
| Oct 31, 2023 | 1,025.00 |
| Jul 31, 2023 | 1,025.00 |
| Apr 30, 2023 | 1,025.00 |
| Jan 31, 2023 | 1,025.00 |
| Oct 31, 2022 | 1,025.00 |
| Jul 31, 2022 | 1,025.00 |
| Apr 30, 2022 | 1,025.00 |
API Access
Rapid Line Change in Accured 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=change-in-accured-expenses&ticker=RPDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=RPDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();