Resources Connection (RGP) Interest Expenses (2016 - 2023)
Resources Connection's Interest Expenses came in at -$110,000 for fiscal Q4 2023 (quarter ended May 27, 2023), compared with $320,000 a year earlier.
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Analysis
Resources Connection (RGP) Interest Expenses (2016 - 2023) Analysis & Trends
For FY2023 (ended May 27, 2023), Resources Connection's Interest Expenses was $552,000, down 48.1% from FY2022.
- Interest Expenses has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -20.5% (FY2018 to FY2023).
- Going back by fiscal year, Interest Expenses was $1.06 million in FY2022 (-33.5%), $1.6 million in FY2021 (-22.4%), $2.06 million in FY2020 (-5.9%) and $2.19 million in FY2019 (+26.2%).
- The fiscal Q4 2023 figure represents the lowest quarterly Interest Expenses in data going back to fiscal Q2 2017.
- Year-over-year, Interest Expenses increased in two of the last seven quarters, with an average decline of 18.0%.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q1 2019 (growth of 56.1%), and the weakest in fiscal Q1 2022 (a decline of 56.6%).
- Business Quant data shows RGP's Interest Expenses at $147,000 (Q3 2023), $199,000 (Q2 2023) and $316,000 (Q1 2023) in the three fiscal quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 103.82 Mn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | - |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 10.67 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 45.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 6.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | - |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 23.64 Mn |
| 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 |
|---|---|
| May 27, 2023 | -110,000.00 |
| Feb 25, 2023 | 147,000.00 |
| Nov 26, 2022 | 199,000.00 |
| Aug 27, 2022 | 316,000.00 |
| May 28, 2022 | 320,000.00 |
| Feb 26, 2022 | 307,000.00 |
| Nov 27, 2021 | 222,000.00 |
| Aug 28, 2021 | 215,000.00 |
| May 29, 2021 | 284,000.00 |
| Feb 27, 2021 | 361,000.00 |
| Nov 28, 2020 | 460,000.00 |
| Aug 29, 2020 | 495,000.00 |
| May 30, 2020 | 535,000.00 |
| Feb 22, 2020 | 493,000.00 |
| Nov 23, 2019 | 551,000.00 |
| Aug 24, 2019 | 482,000.00 |
| May 25, 2019 | 461,000.00 |
| Feb 23, 2019 | 595,000.00 |
| Nov 24, 2018 | 608,000.00 |
| Aug 25, 2018 | 526,000.00 |
API Access
Resources Connection Interest Expenses 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=interest-expenses&ticker=RGP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();