Resources Connection (RGP) Depreciation and Depletion (2020 - 2026)
Resources Connection (RGP) reported Depreciation and Depletion of $310,000 for fiscal Q4 2026 (quarter ended May 30, 2026), down 22.9% from $402,000 a year earlier and down 5.5% from the prior quarter.
Resources Connection (RGP) Depreciation and Depletion (2020 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Resources Connection posted Depreciation and Depletion of $1.33 million, down 29.1% from FY2025.
- Depreciation and Depletion has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -19.4% (FY2021 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $1.87 million in FY2025 (-38.8%), $3.05 million in FY2024 (-13.8%), $3.54 million in FY2023 (-1.0%) and $3.58 million in FY2022 (-8.3%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Depreciation and Depletion in data going back to fiscal Q1 2021.
- Year over year, Depreciation and Depletion has now declined in each of the last 12 quarters, with an average decline of 33.6% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q4 2023 (growth of 0.7%); the low point was fiscal Q2 2025 (a decline of 43.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $328,000 (Q3 2026), $339,000 (Q2 2026) and $348,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 143.59 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 81.60 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 21.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | - |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | - |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 25.15 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Resources Connection | 133.97 Mn | -198.49 Mn | 39.93 Mn | 310,000.00 |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 310,000.00 |
| Feb 28, 2026 | 328,000.00 |
| Nov 29, 2025 | 339,000.00 |
| Aug 30, 2025 | 348,000.00 |
| May 31, 2025 | 402,000.00 |
| Feb 22, 2025 | 464,000.00 |
| Nov 23, 2024 | 462,000.00 |
| Aug 24, 2024 | 540,000.00 |
| May 25, 2024 | 618,000.00 |
| Feb 24, 2024 | 745,000.00 |
| Nov 25, 2023 | 810,000.00 |
| Aug 26, 2023 | 877,000.00 |
| May 27, 2023 | 887,000.00 |
| Feb 25, 2023 | 885,000.00 |
| Nov 26, 2022 | 880,000.00 |
| Aug 27, 2022 | 887,000.00 |
| May 28, 2022 | 881,000.00 |
| Feb 26, 2022 | 882,000.00 |
| Nov 27, 2021 | 893,000.00 |
| Aug 28, 2021 | 919,000.00 |
Resources Connection Depreciation and Depletion 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=depreciation-and-depletion&ticker=RGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();