Resources Connection (RGP) Return on Sales [ROS] (2009 - 2026)
Resources Connection (RGP) reported Return on Sales [ROS] of -14.85% for 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) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Resources Connection posted Return on Sales [ROS] of -8.47%, up 27.22 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -12.11 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at -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).
- Five-year quarterly Return on Sales [ROS] spans a low of -52.69% in fiscal Q2 2025 and a high of 12.96% in fiscal Q4 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last four quarters, with an average year-over-year change of -6.62 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q2 2026 (a gain of 42.36 percentage points); the low point was fiscal Q2 2025 (a drop of 57.81 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Resources Connection | 133.97 Mn | -198.49 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RGP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();