Resources Connection (RGP) Capital Expenditures (2009 - 2026)
Resources Connection (RGP) posted Capital Expenditures of $265,000 for fiscal Q4 2026 (quarter ended May 30, 2026), down 7.3% from $286,000 a year earlier but up 162.4% from the prior quarter.
Resources Connection (RGP) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Resources Connection's Capital Expenditures came in at $808,000, down 70.2% from FY2025.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -26.8% (FY2021 to FY2026).
- In prior fiscal years, Resources Connection's Capital Expenditures was $2.71 million in FY2025 (+137.2%), $1.14 million in FY2024 (-43.2%), $2.01 million in FY2023 (-32.0%) and $2.96 million in FY2022 (-23.0%).
- Quarterly Capital Expenditures has run from a low of $101,000 in fiscal Q3 2026 to a high of $1.74 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, Capital Expenditures has declined in each of the last four quarters, with growth averaging 61.1% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q2 2025, with growth of 415.7%; the weakest was fiscal Q2 2026, with a decline of 81.5%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $101,000 (Q3 2026), $321,000 (Q2 2026) and $121,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 186.22 Mn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 96.00 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 588.19 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 31.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 6.43 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 112.37 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 69.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 19.92 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Resources Connection | 129.84 Mn | -202.63 Mn | 39.93 Mn | 265,000.00 |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 265,000.00 |
| Feb 28, 2026 | 101,000.00 |
| Nov 29, 2025 | 321,000.00 |
| Aug 30, 2025 | 121,000.00 |
| May 31, 2025 | 286,000.00 |
| Feb 22, 2025 | 421,000.00 |
| Nov 23, 2024 | 1.74 Mn |
| Aug 24, 2024 | 266,000.00 |
| May 25, 2024 | 122,000.00 |
| Feb 24, 2024 | 136,000.00 |
| Nov 25, 2023 | 337,000.00 |
| Aug 26, 2023 | 548,000.00 |
| May 27, 2023 | 571,000.00 |
| Feb 25, 2023 | 277,000.00 |
| Nov 26, 2022 | 455,000.00 |
| Aug 27, 2022 | 709,000.00 |
| May 28, 2022 | 342,000.00 |
| Feb 26, 2022 | 324,000.00 |
| Nov 27, 2021 | 1.27 Mn |
| Aug 28, 2021 | 1.02 Mn |
Resources Connection Capital Expenditures 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=capital-expenditures&ticker=RGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();