Cullen (CFR) Loans - Loss Allowance (2009 - 2026)
Cullen's Loans - Loss Allowance came in at $283.71 million for Q2 2026, up 2.1% from $277.8 million a year earlier but down 0.9% from the prior quarter.
Cullen (CFR) Loans - Loss Allowance (2009 - 2026) Analysis & Trends
At the end of FY2025, Cullen's Loans - Loss Allowance was $281.5 million, up 4.2% from FY2024.
- Loans - Loss Allowance has increased in each of the last three years, with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Going back by year, Loans - Loss Allowance was $270.15 million in FY2024 (+9.8%), $246 million in FY2023 (+8.1%), $227.62 million in FY2022 (-8.5%) and $248.67 million in FY2021 (-5.5%).
- The five-year range for quarterly Loans - Loss Allowance is $227.62 million (Q4 2022) to $286.22 million (Q1 2026).
- Year-over-year, Loans - Loss Allowance has increased for 12 consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- The fastest year-over-year change in Loans - Loss Allowance over five years came in Q1 2025 (growth of 10.1%), and the weakest in Q4 2022 (a decline of 8.5%).
- Business Quant data shows CFR's Loans - Loss Allowance at $286.22 million (Q1 2026), $281.5 million (Q4 2025) and $280.22 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | Cullen | 9.49 Bn | -21.09 Bn | - | 283.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 283.71 Mn |
| Mar 31, 2026 | 286.22 Mn |
| Dec 31, 2025 | 281.50 Mn |
| Sep 30, 2025 | 280.22 Mn |
| Jun 30, 2025 | 277.80 Mn |
| Mar 31, 2025 | 275.49 Mn |
| Dec 31, 2024 | 270.15 Mn |
| Sep 30, 2024 | 263.13 Mn |
| Jun 30, 2024 | 256.31 Mn |
| Mar 31, 2024 | 250.30 Mn |
| Dec 31, 2023 | 246.00 Mn |
| Sep 30, 2023 | 242.24 Mn |
| Jun 30, 2023 | 233.62 Mn |
| Mar 31, 2023 | 231.51 Mn |
| Dec 31, 2022 | 227.62 Mn |
| Sep 30, 2022 | 234.32 Mn |
| Jun 30, 2022 | 239.63 Mn |
| Mar 31, 2022 | 246.84 Mn |
| Dec 31, 2021 | 248.67 Mn |
| Sep 30, 2021 | 250.15 Mn |
Cullen Loans - Loss Allowance 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=loans-loss-allowance&ticker=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();