Resources Connection (RGP) Operating Margin (2009 - 2026)
Resources Connection's Operating Margin was -14.85% in fiscal Q4 2026 (quarter ended May 30, 2026), up 32.15 percentage points from -47.01% a year earlier but down 7.12 percentage points from the prior quarter.
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Analysis
Resources Connection (RGP) Operating Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Operating Margin at Resources Connection came in at -8.47%, up 27.22 percentage points from FY2025.
- Operating Margin shows a five-year change of -12.11 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Operating Margin was -35.69% in FY2025 (-40.24 pp), 4.55% in FY2024 (-4.84 pp), 9.38% in FY2023 (-0.98 pp) and 10.36% in FY2022 (+6.72 pp).
- Quarterly Operating Margin has moved between -52.69% (fiscal Q2 2025) and 12.96% (fiscal Q4 2022) over five years.
- Compared with a year earlier, Operating Margin has increased for four straight quarters, with an average year-over-year change of -6.62 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q2 2026 (a gain of 42.36 percentage points); the worst was fiscal Q2 2025 (a drop of 57.81 percentage points).
- Per Business Quant data, RGP's Operating Margin in the three fiscal quarters before Q4 2026 was -7.73% (Q3 2026), -10.34% (Q2 2026) and -1.65% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 18.67% |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.26% |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Resources Connection | 129.49 Mn | -202.97 Mn | 39.93 Mn | -14.85% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | -14.85% |
| Feb 28, 2026 | -7.73% |
| Nov 29, 2025 | -10.34% |
| Aug 30, 2025 | -1.65% |
| May 31, 2025 | -47.01% |
| Feb 22, 2025 | -38.42% |
| Nov 23, 2024 | -52.69% |
| Aug 24, 2024 | -3.51% |
| May 25, 2024 | 7.61% |
| Feb 24, 2024 | 2.82% |
| Nov 25, 2023 | 5.12% |
| Aug 26, 2023 | 2.87% |
| May 27, 2023 | 9.24% |
| Feb 25, 2023 | 3.81% |
| Nov 26, 2022 | 11.72% |
| Aug 27, 2022 | 12.32% |
| May 28, 2022 | 12.96% |
| Feb 26, 2022 | 8.55% |
| Nov 27, 2021 | 9.88% |
| Aug 28, 2021 | 9.84% |
API Access
Resources Connection Operating Margin 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-margin&ticker=RGP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();