Cullen (CFR) Provisions (2009 - 2026)
Cullen (CFR) posted Provisions of $14.05 million for Q2 2026, down 47.8% from $26.93 million a year earlier and down 32.9% from the prior quarter.
Cullen (CFR) Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provisions at Cullen was $67.22 million, down 49.0% year-over-year; for FY2025, it came in at $89.24 million, down 31.2% from FY2024.
- Annual Provisions shows a five-year compound annual growth rate of -28.4% (FY2020 to FY2025).
- In prior years, Cullen's Provisions was $129.66 million in FY2024 (+22.6%), $105.72 million in FY2023, -$10.56 million in FY2022 and -$12.19 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Provisions since Q4 2022.
- On a year-over-year basis, Provisions has declined in each of the last five quarters, with an average decline of 24.8% over the last eight quarters.
- The strongest year-over-year quarter for Provisions in the past five years was Q1 2023, with growth of 183.9%; the weakest was Q4 2025, with a decline of 66.1%.
- According to Business Quant data, Provisions for the three prior quarters was $20.92 million (Q1 2026), $14.23 million (Q4 2025) and $18.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 914.00 Mn |
| 10 | Cullen | 9.49 Bn | -21.09 Bn | - | 14.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.05 Mn |
| Mar 31, 2026 | 20.92 Mn |
| Dec 31, 2025 | 14.23 Mn |
| Sep 30, 2025 | 18.01 Mn |
| Jun 30, 2025 | 26.93 Mn |
| Mar 31, 2025 | 30.06 Mn |
| Dec 31, 2024 | 41.97 Mn |
| Sep 30, 2024 | 32.92 Mn |
| Jun 30, 2024 | 31.47 Mn |
| Mar 31, 2024 | 23.30 Mn |
| Dec 31, 2023 | 75.53 Mn |
| Sep 30, 2023 | 27.22 Mn |
| Jun 30, 2023 | 23.87 Mn |
| Mar 31, 2023 | 25.35 Mn |
| Dec 31, 2022 | -10.56 Mn |
| Sep 30, 2022 | -4.93 Mn |
| Jun 30, 2022 | -8.79 Mn |
| Mar 31, 2022 | 8.93 Mn |
| Sep 30, 2021 | -6.05 Mn |
| Jun 30, 2021 | -8.76 Mn |
Cullen Provisions 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=provisions&ticker=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();