Re (RMAX) Non Operating Interest Expenses (2012 - 2024)
Re (RMAX) posted Non Operating Interest Expenses of $9.26 million for Q1 2024, up 12.3% from $8.25 million a year earlier but down 1.2% from the prior quarter.
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Analysis
Re (RMAX) Non Operating Interest Expenses (2012 - 2024) Analysis & Trends
For the trailing twelve months through Mar 31, 2024, Non Operating Interest Expenses at Re was $36.75 million, up 44.1% year-over-year; for FY2023, it was $35.74 million, up 71.0% from FY2022.
- Annual Non Operating Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 24.3% (FY2018 to FY2023).
- In prior years, Re's Non Operating Interest Expenses was $20.9 million in FY2022 (+84.3%), $11.34 million in FY2021 (+23.0%), $9.22 million in FY2020 (-24.6%) and $12.23 million in FY2019 (+1.5%).
- Quarterly Non Operating Interest Expenses has run from a low of $2.1 million in Q1 2021 to a high of $9.36 million in Q4 2023 over five years.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last 11 quarters, with growth averaging 75.5% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2023, with growth of 125.8%; the weakest was Q2 2020, with a decline of 30.7%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $9.36 million (Q4 2023), $9.29 million (Q3 2023) and $8.84 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 41.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 59.60 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 140,000.00 |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 9.26 Mn |
| Dec 31, 2023 | 9.36 Mn |
| Sep 30, 2023 | 9.29 Mn |
| Jun 30, 2023 | 8.84 Mn |
| Mar 31, 2023 | 8.25 Mn |
| Dec 31, 2022 | 7.49 Mn |
| Sep 30, 2022 | 5.73 Mn |
| Jun 30, 2022 | 4.03 Mn |
| Mar 31, 2022 | 3.65 Mn |
| Dec 31, 2021 | 3.81 Mn |
| Sep 30, 2021 | 3.32 Mn |
| Jun 30, 2021 | 2.12 Mn |
| Mar 31, 2021 | 2.10 Mn |
| Dec 31, 2020 | 2.20 Mn |
| Sep 30, 2020 | 2.16 Mn |
| Jun 30, 2020 | 2.19 Mn |
| Mar 31, 2020 | 2.68 Mn |
| Dec 31, 2019 | 2.83 Mn |
| Sep 30, 2019 | 3.09 Mn |
| Jun 30, 2019 | 3.15 Mn |
API Access
Re 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=RMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "RMAX", "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=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();