Cim (CMRF) Non Operating Interest Expenses (2012 - 2022)
Cim (CMRF) recorded Non Operating Interest Expenses of $58.09 million in Q4 2022, up 114.8% from $27.04 million a year earlier and up 47.6% from the prior quarter.
Cim (CMRF) Non Operating Interest Expenses (2012 - 2022) Analysis & Trends
For FY2022, Cim reported Non Operating Interest Expenses of $156.54 million, up 86.6% from FY2021.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 11.8% (FY2017 to FY2022).
- Across earlier years, Non Operating Interest Expenses came in at $83.9 million in FY2021 (+30.9%), $64.12 million in FY2020 (-35.2%), $98.93 million in FY2019 (+1.1%) and $97.87 million in FY2018 (+9.0%).
- The Q4 2022 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q2 2012.
- On a year-over-year basis, Non Operating Interest Expenses has increased for eight consecutive quarters, with growth averaging 61.7% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 114.8% in Q4 2022, against a decline of 39.1% in Q1 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.37 million (Q3 2022), $34.46 million (Q2 2022) and $31.04 million (Q1 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 374.00 Mn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 281.69 Mn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 93.62 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 118.51 Mn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 10.01 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 1.32 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 214.00 Mn |
| 10 | Cim | 1.03 Bn | 1.86 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 58.09 Mn |
| Sep 30, 2022 | 39.37 Mn |
| Jun 30, 2022 | 34.46 Mn |
| Mar 31, 2022 | 31.04 Mn |
| Dec 31, 2021 | 27.04 Mn |
| Sep 30, 2021 | 20.38 Mn |
| Jun 30, 2021 | 16.46 Mn |
| Mar 31, 2021 | 20.02 Mn |
| Dec 31, 2020 | 16.88 Mn |
| Sep 30, 2020 | 15.96 Mn |
| Jun 30, 2020 | 15.52 Mn |
| Mar 31, 2020 | 15.77 Mn |
| Dec 31, 2019 | 22.98 Mn |
| Sep 30, 2019 | 24.62 Mn |
| Jun 30, 2019 | 25.45 Mn |
| Mar 31, 2019 | 25.89 Mn |
| Dec 31, 2018 | 26.21 Mn |
| Sep 30, 2018 | 24.69 Mn |
| Jun 30, 2018 | 23.33 Mn |
| Mar 31, 2018 | 23.65 Mn |
Cim 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=CMRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CMRF", "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=CMRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();