Cullen (CFR) Change in Net Loans (2009 - 2026)
Cullen (CFR) reported Change in Net Loans of $687.13 million for Q3 2026, up 246.6% from $198.27 million a year earlier and up 24.0% from the prior quarter.
Powered by 
Analysis
Cullen (CFR) Change in Net Loans (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Cullen's Change in Net Loans came in at $2.22 billion, up 55.1% year-over-year; for FY2025, it came in at $1.16 billion, down 41.1% from FY2024.
- Change in Net Loans has a five-year compound annual growth rate of -16.5% (FY2020 to FY2025).
- By year, Change in Net Loans came in at $1.97 billion in FY2024 (+15.5%), $1.7 billion in FY2023 (+106.5%), $824.02 million in FY2022 and -$1.15 billion in FY2021.
- The Q3 2026 figure ranks as the highest quarterly Change in Net Loans since Q4 2024.
- Year over year, Change in Net Loans has now increased in each of the last three quarters, with growth averaging 83.3% over the last eight quarters.
- The high point for year-over-year Change in Net Loans in five years was Q1 2026 (growth of 254.2%); the low point was Q3 2024 (a decline of 90.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $554.05 million (Q2 2026), $536.68 million (Q1 2026) and $446.05 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 56.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 20.45 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Cullen | 9.84 Bn | -19.92 Bn | - | 687.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 687.13 Mn |
| Jun 30, 2026 | 554.05 Mn |
| Mar 31, 2026 | 536.68 Mn |
| Dec 31, 2025 | 446.05 Mn |
| Sep 30, 2025 | 198.27 Mn |
| Jun 30, 2025 | 362.60 Mn |
| Mar 31, 2025 | 151.52 Mn |
| Dec 31, 2024 | 721.23 Mn |
| Sep 30, 2024 | 65.36 Mn |
| Jun 30, 2024 | 612.89 Mn |
| Mar 31, 2024 | 566.64 Mn |
| Dec 31, 2023 | 444.86 Mn |
| Sep 30, 2023 | 654.13 Mn |
| Jun 30, 2023 | 268.19 Mn |
| Mar 31, 2023 | 334.71 Mn |
| Dec 31, 2022 | 206.04 Mn |
| Sep 30, 2022 | 213.47 Mn |
| Jun 30, 2022 | 195.03 Mn |
| Mar 31, 2022 | 209.49 Mn |
| Dec 31, 2021 | 503.51 Mn |
API Access
Cullen 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=CFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "CFR", "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=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();