Resources Connection (RGP) Non Operating Interest Expenses (2016 - 2023)
Resources Connection (RGP) reported Non Operating Interest Expenses of -$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) Non Operating Interest Expenses (2016 - 2023) Analysis & Trends
For FY2023 (ended May 27, 2023), Resources Connection posted Non Operating Interest Expenses of $552,000, down 48.1% from FY2022.
- Non Operating Interest Expenses has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -20.5% (FY2018 to FY2023).
- By fiscal year, Non Operating Interest Expenses came in at $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 ranks as the lowest quarterly Non Operating Interest Expenses in data going back to fiscal Q2 2017.
- Year over year, Non Operating Interest Expenses gained in two of the last seven quarters, with an average decline of 18.0%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q1 2019 (growth of 56.1%); the low point was fiscal Q1 2022 (a decline of 56.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2023 came in at $147,000 (Q3 2023), $199,000 (Q2 2023) and $316,000 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Resources Connection | 129.49 Mn | -202.97 Mn | 39.93 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 Non Operating 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=non-operating-interest-expenses&ticker=RGP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=RGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();