Cim (CMRF) Operating Expenses (2012 - 2026)
Cim (CMRF) reported Operating Expenses of $85.94 million for Q2 2026, down 8.2% from $93.59 million a year earlier but up 34.0% from the prior quarter.
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Analysis
Cim (CMRF) Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cim's Operating Expenses came in at $309.72 million, down 35.2% year-over-year; for FY2025, it was $394.96 million, down 49.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $778.42 million in FY2024 (+35.1%), $576.34 million in FY2023 (+38.5%), $416.04 million in FY2022 (+16.6%) and $356.74 million in FY2021 (+28.1%).
- Five-year quarterly Operating Expenses spans a low of $57.95 million in Q3 2021 and a high of $372.12 million in Q2 2024.
- Year over year, Operating Expenses has now declined in each of the last eight quarters, with an average decline of 33.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2024 (growth of 157.9%); the low point was Q2 2025 (a decline of 74.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $64.12 million (Q1 2026), $74.76 million (Q4 2025) and $84.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 2.50 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | Cim | 1.03 Bn | 1.86 Bn | - | 85.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.94 Mn |
| Mar 31, 2026 | 64.12 Mn |
| Dec 31, 2025 | 74.76 Mn |
| Sep 30, 2025 | 84.91 Mn |
| Jun 30, 2025 | 93.59 Mn |
| Mar 31, 2025 | 146.75 Mn |
| Dec 31, 2024 | 116.64 Mn |
| Sep 30, 2024 | 121.25 Mn |
| Jun 30, 2024 | 372.12 Mn |
| Mar 31, 2024 | 168.41 Mn |
| Dec 31, 2023 | 160.61 Mn |
| Sep 30, 2023 | 161.00 Mn |
| Jun 30, 2023 | 144.27 Mn |
| Mar 31, 2023 | 110.46 Mn |
| Dec 31, 2022 | 131.65 Mn |
| Sep 30, 2022 | 92.15 Mn |
| Jun 30, 2022 | 100.15 Mn |
| Mar 31, 2022 | 92.10 Mn |
| Dec 31, 2021 | 164.67 Mn |
| Sep 30, 2021 | 57.95 Mn |
API Access
Cim Operating 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=operating-expenses&ticker=CMRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CMRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();