Resources Connection (RGP) Receivables (2010 - 2026)
Resources Connection (RGP) reported Receivables of $71.92 million for fiscal Q4 2026 (quarter ended May 30, 2026), down 27.5% from $99.21 million a year earlier and down 9.3% from the prior quarter.
Resources Connection (RGP) Receivables (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Resources Connection's Receivables record includes 65 quarters.
- Receivables has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -9.2% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $99.21 million in FY2025 (-8.6%), $108.52 million in FY2024 (-21.0%), $137.36 million in FY2023 (-10.3%) and $153.15 million in FY2022 (+31.5%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Receivables in data going back to fiscal Q4 2010.
- Year over year, Receivables has now declined in each of the last 14 quarters, with an average decline of 16.9% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q3 2022 (growth of 38.8%); the low point was fiscal Q4 2026 (a decline of 27.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $79.33 million (Q3 2026), $86.49 million (Q2 2026) and $93.56 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 1.56 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 238.99 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 2.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 710.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | 1.26 Bn |
| 10 | Resources Connection | 129.49 Mn | -202.97 Mn | 39.93 Mn | 71.92 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 71.92 Mn |
| Feb 28, 2026 | 79.33 Mn |
| Nov 29, 2025 | 86.49 Mn |
| Aug 30, 2025 | 93.56 Mn |
| May 31, 2025 | 99.21 Mn |
| Feb 22, 2025 | 101.14 Mn |
| Nov 23, 2024 | 106.89 Mn |
| Aug 24, 2024 | 106.47 Mn |
| May 25, 2024 | 108.52 Mn |
| Feb 24, 2024 | 112.11 Mn |
| Nov 25, 2023 | 129.95 Mn |
| Aug 26, 2023 | 131.63 Mn |
| May 27, 2023 | 137.36 Mn |
| Feb 25, 2023 | 143.58 Mn |
| Nov 26, 2022 | 153.76 Mn |
| Aug 27, 2022 | 157.21 Mn |
| May 28, 2022 | 153.15 Mn |
| Feb 26, 2022 | 150.52 Mn |
| Nov 27, 2021 | 143.36 Mn |
| Aug 28, 2021 | 129.07 Mn |
Resources Connection Receivables 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=receivables&ticker=RGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "RGP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();