Resources Connection (RGP) Amortization - Intangibles (2009 - 2026)
Resources Connection (RGP) reported Amortization - Intangibles of $634,000 for fiscal Q1 2027 (quarter ended Aug 29, 2026), down 46.9% from $1.19 million a year earlier and down 13.0% from the prior quarter.
Resources Connection (RGP) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 29, 2026, Resources Connection's Amortization - Intangibles came in at $3.25 million, down 41.9% year-over-year; for FY2026 (ended May 30, 2026), it came in at $3.83 million, down 35.1% from FY2025.
- Amortization - Intangibles has a five-year compound annual growth rate of -6.0% (FY2021 to FY2026).
- By fiscal year, Amortization - Intangibles came in at $5.9 million in FY2025 (+9.3%), $5.4 million in FY2024 (+7.6%), $5.02 million in FY2023 (+2.2%) and $4.91 million in FY2022 (-6.1%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Amortization - Intangibles since fiscal Q2 2018.
- Year over year, Amortization - Intangibles has now declined in each of the last five quarters, with an average decline of 20.8% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was fiscal Q2 2025 (growth of 21.1%); the low point was fiscal Q4 2026 (a decline of 47.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $729,000 (Q4 2026), $746,000 (Q3 2026) and $1.14 million (Q2 2026).
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
| Date | Value |
|---|---|
| Aug 29, 2026 | 634,000.00 |
| May 30, 2026 | 729,000.00 |
| Feb 28, 2026 | 746,000.00 |
| Nov 29, 2025 | 1.14 Mn |
| Aug 30, 2025 | 1.19 Mn |
| May 31, 2025 | 1.40 Mn |
| Feb 22, 2025 | 1.41 Mn |
| Nov 23, 2024 | 1.60 Mn |
| Aug 24, 2024 | 1.50 Mn |
| May 25, 2024 | 1.35 Mn |
| Feb 24, 2024 | 1.41 Mn |
| Nov 25, 2023 | 1.32 Mn |
| Aug 26, 2023 | 1.31 Mn |
| May 27, 2023 | 1.28 Mn |
| Feb 25, 2023 | 1.30 Mn |
| Nov 26, 2022 | 1.22 Mn |
| Aug 27, 2022 | 1.30 Mn |
| May 28, 2022 | 1.30 Mn |
| Feb 26, 2022 | 1.32 Mn |
| Nov 27, 2021 | 1.20 Mn |
Resources Connection Amortization - 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=amortization-intangibles&ticker=RGP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();