Resources Connection (RGP) Total Liabilities (2010 - 2026)
Resources Connection's Total Liabilities came in at $87.63 million for fiscal Q4 2026 (quarter ended May 30, 2026), down 10.2% from $97.61 million a year earlier but up 0.2% from the prior quarter.
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Analysis
Resources Connection (RGP) Total Liabilities (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Resources Connection's Total Liabilities data covers 65 quarters.
- Total Liabilities carries a five-year compound annual growth rate of -14.4% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $97.61 million in FY2025 (+5.9%), $92.15 million in FY2024 (-21.6%), $117.48 million in FY2023 (-43.8%) and $209.02 million in FY2022 (+9.4%).
- The five-year range for quarterly Total Liabilities is $80.85 million (fiscal Q1 2026) to $209.02 million (fiscal Q4 2022).
- Year-over-year, Total Liabilities has declined for four consecutive quarters, with an average decline of 7.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2022 (growth of 9.4%), and the weakest in fiscal Q4 2023 (a decline of 43.8%).
- Business Quant data shows RGP's Total Liabilities at $87.43 million (Q3 2026), $94.69 million (Q2 2026) and $80.85 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Resources Connection | 129.49 Mn | -202.97 Mn | 39.93 Mn | 87.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 87.63 Mn |
| Feb 28, 2026 | 87.43 Mn |
| Nov 29, 2025 | 94.69 Mn |
| Aug 30, 2025 | 80.85 Mn |
| May 31, 2025 | 97.61 Mn |
| Feb 22, 2025 | 97.80 Mn |
| Nov 23, 2024 | 99.20 Mn |
| Aug 24, 2024 | 105.65 Mn |
| May 25, 2024 | 92.15 Mn |
| Feb 24, 2024 | 108.30 Mn |
| Nov 25, 2023 | 111.26 Mn |
| Aug 26, 2023 | 103.55 Mn |
| May 27, 2023 | 117.48 Mn |
| Feb 25, 2023 | 125.49 Mn |
| Nov 26, 2022 | 148.37 Mn |
| Aug 27, 2022 | 142.07 Mn |
| May 28, 2022 | 209.02 Mn |
| Feb 26, 2022 | 202.71 Mn |
| Nov 27, 2021 | 184.61 Mn |
| Aug 28, 2021 | 173.79 Mn |
API Access
Resources Connection Total Liabilities 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=total-liabilities&ticker=RGP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();