Resources Connection (RGP) Total Liabilities (2010 - 2026)
Resources Connection's Total Liabilities came in at $70.62 million for fiscal Q1 2027 (quarter ended Aug 29, 2026), down 12.7% from $80.85 million a year earlier and down 19.4% from the prior quarter.
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Analysis
Resources Connection (RGP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 30, 2026), Resources Connection's Total Liabilities was $87.63 million, down 10.2% from FY2025.
- 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 fiscal Q1 2027 figure represents the lowest quarterly Total Liabilities since fiscal Q1 2017.
- Year-over-year, Total Liabilities has declined for five consecutive quarters, with an average decline of 9.5% 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 $87.63 million (Q4 2026), $87.43 million (Q3 2026) and $94.69 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 1.93 Bn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 1.50 Bn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Resources Connection | 85.00 Mn | -231.17 Mn | 36.67 Mn | 70.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 70.62 Mn |
| 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 |
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();