Cim (CMRF) Change in Net Loans (2019 - 2026)
Cim's Change in Net Loans came in at $483.84 million for Q1 2026, up 790.6% from $54.33 million a year earlier and up 119.6% from the prior quarter.
Powered by 
Analysis
Cim (CMRF) Change in Net Loans (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Cim reported Change in Net Loans of $991.53 million, up 103.5% year-over-year; for FY2025, it came in at $562.01 million, up 17.3% from FY2024.
- Change in Net Loans has increased in each of the last three years, with a five-year compound annual growth rate of 36.3% (FY2020 to FY2025).
- Going back by year, Change in Net Loans was $479.24 million in FY2024 (+143.3%), $196.98 million in FY2023 (+14.1%), $172.6 million in FY2022 (-47.1%) and $326.06 million in FY2021 (+173.0%).
- The Q1 2026 figure represents the highest quarterly Change in Net Loans in data going back to Q1 2019.
- Year-over-year, Change in Net Loans increased in six of the last seven quarters, with growth averaging 232.2%.
- The fastest year-over-year change in Change in Net Loans over five years came in Q1 2026 (growth of 790.6%), and the weakest in Q3 2022 (a decline of 84.1%).
- Business Quant data shows CMRF's Change in Net Loans at $220.3 million (Q4 2025), $80.21 million (Q3 2025) and $207.18 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 2.79 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | Cim | 1.03 Bn | 1.86 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 483.84 Mn |
| Dec 31, 2025 | 220.30 Mn |
| Sep 30, 2025 | 80.21 Mn |
| Jun 30, 2025 | 207.18 Mn |
| Mar 31, 2025 | 54.33 Mn |
| Dec 31, 2024 | 168.86 Mn |
| Sep 30, 2024 | 173.74 Mn |
| Jun 30, 2024 | 90.35 Mn |
| Mar 31, 2024 | 46.29 Mn |
| Dec 31, 2023 | 13.00 Mn |
| Sep 30, 2023 | 27.38 Mn |
| Jun 30, 2023 | 32.61 Mn |
| Mar 31, 2023 | 124.00 Mn |
| Dec 31, 2022 | 15.68 Mn |
| Sep 30, 2022 | 29.82 Mn |
| Jun 30, 2022 | 24.63 Mn |
| Mar 31, 2022 | 102.48 Mn |
| Dec 31, 2021 | 40.96 Mn |
| Sep 30, 2021 | 187.65 Mn |
| Jun 30, 2021 | 45.81 Mn |
API Access
Cim Change in Net Loans 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=change-in-net-loans&ticker=CMRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=CMRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();