Resources Connection (RGP) Operating Expenses (2009 - 2026)
Resources Connection (RGP) posted Operating Expenses of $54.94 million for fiscal Q4 2026 (quarter ended May 30, 2026), up 7.6% from $51.05 million a year earlier and up 19.0% from the prior quarter.
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Analysis
Resources Connection (RGP) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Resources Connection's Operating Expenses came in at $204.12 million, up 0.1% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -0.9% (FY2021 to FY2026).
- In prior fiscal years, Resources Connection's Operating Expenses was $203.92 million in FY2025 (-3.8%), $211.96 million in FY2024 (-8.8%), $232.38 million in FY2023 (+1.8%) and $228.3 million in FY2022 (+7.1%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses since fiscal Q1 2024.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 1.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2022, with growth of 16.5%; the weakest was fiscal Q1 2025, with a decline of 18.7%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $46.18 million (Q3 2026), $54.73 million (Q2 2026) and $48.26 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Resources Connection | 129.49 Mn | -202.97 Mn | 39.93 Mn | 54.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 54.94 Mn |
| Feb 28, 2026 | 46.18 Mn |
| Nov 29, 2025 | 54.73 Mn |
| Aug 30, 2025 | 48.26 Mn |
| May 31, 2025 | 51.05 Mn |
| Feb 22, 2025 | 51.65 Mn |
| Nov 23, 2024 | 51.77 Mn |
| Aug 24, 2024 | 49.45 Mn |
| May 25, 2024 | 47.02 Mn |
| Feb 24, 2024 | 50.33 Mn |
| Nov 25, 2023 | 53.80 Mn |
| Aug 26, 2023 | 60.81 Mn |
| May 27, 2023 | 57.39 Mn |
| Feb 25, 2023 | 60.26 Mn |
| Nov 26, 2022 | 57.66 Mn |
| Aug 27, 2022 | 57.07 Mn |
| May 28, 2022 | 60.24 Mn |
| Feb 26, 2022 | 57.97 Mn |
| Nov 27, 2021 | 57.77 Mn |
| Aug 28, 2021 | 52.31 Mn |
API Access
Resources Connection 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=RGP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();