Resources Connection (RGP) Goodwill & Intangibles (2010 - 2026)
Resources Connection (RGP) reported Goodwill & Intangibles of $43.27 million for fiscal Q1 2027 (quarter ended Aug 29, 2026), down 7.0% from $46.54 million a year earlier and down 1.4% from the prior quarter.
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Analysis
Resources Connection (RGP) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 30, 2026), Resources Connection posted Goodwill & Intangibles of $43.91 million, down 8.0% from FY2025.
- Goodwill & Intangibles has a five-year compound annual growth rate of -28.6% (FY2021 to FY2026).
- By fiscal year, Goodwill & Intangibles came in at $47.74 million in FY2025 (-78.9%), $226.15 million in FY2024 (+3.6%), $218.24 million in FY2023 (-3.2%) and $225.55 million in FY2022 (-4.8%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Goodwill & Intangibles in data going back to fiscal Q4 2010.
- Year over year, Goodwill & Intangibles has now declined in each of the last eight quarters, with an average decline of 48.3% over the last eight quarters.
- The high point for year-over-year Goodwill & Intangibles in five years was fiscal Q1 2025 (growth of 12.2%); the low point was fiscal Q1 2026 (a decline of 80.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $43.91 million (Q4 2026), $44.65 million (Q3 2026) and $45.4 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - |
| 10 | Resources Connection | 92.95 Mn | -223.22 Mn | 36.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 43.27 Mn |
| May 30, 2026 | 43.91 Mn |
| Feb 28, 2026 | 44.65 Mn |
| Nov 29, 2025 | 45.40 Mn |
| Aug 30, 2025 | 46.54 Mn |
| May 31, 2025 | 47.74 Mn |
| Feb 22, 2025 | 118.42 Mn |
| Nov 23, 2024 | 161.87 Mn |
| Aug 24, 2024 | 243.77 Mn |
| May 25, 2024 | 226.15 Mn |
| Feb 24, 2024 | 227.86 Mn |
| Nov 25, 2023 | 229.45 Mn |
| Aug 26, 2023 | 217.23 Mn |
| May 27, 2023 | 218.24 Mn |
| Feb 25, 2023 | 218.77 Mn |
| Nov 26, 2022 | 222.79 Mn |
| Aug 27, 2022 | 223.08 Mn |
| May 28, 2022 | 225.55 Mn |
| Feb 26, 2022 | 232.85 Mn |
| Nov 27, 2021 | 234.17 Mn |
API Access
Resources Connection Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=RGP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();