Cullen (CFR) Tax Provisions (2009 - 2026)
Cullen's Tax Provisions came in at $32.48 million for Q2 2026, up 9.7% from $29.62 million a year earlier and up 3.4% from the prior quarter.
Cullen (CFR) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cullen reported Tax Provisions of $129.26 million, up 11.7% year-over-year; for FY2025, it came in at $123.15 million, up 8.6% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 43.6% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $113.43 million in FY2024 (-0.9%), $114.4 million in FY2023 (+27.6%), $89.68 million in FY2022 (+93.0%) and $46.46 million in FY2021 (+130.3%).
- The five-year range for quarterly Tax Provisions is $10.15 million (Q4 2021) to $33.63 million (Q3 2025).
- Year-over-year, Tax Provisions has increased for four consecutive quarters, with growth averaging 13.5% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q4 2022 (growth of 182.5%), and the weakest in Q4 2023 (a decline of 36.7%).
- Business Quant data shows CFR's Tax Provisions at $31.42 million (Q1 2026), $31.73 million (Q4 2025) and $33.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Cullen | 9.49 Bn | -21.09 Bn | - | 32.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.48 Mn |
| Mar 31, 2026 | 31.42 Mn |
| Dec 31, 2025 | 31.73 Mn |
| Sep 30, 2025 | 33.63 Mn |
| Jun 30, 2025 | 29.62 Mn |
| Mar 31, 2025 | 28.17 Mn |
| Dec 31, 2024 | 29.16 Mn |
| Sep 30, 2024 | 28.74 Mn |
| Jun 30, 2024 | 29.65 Mn |
| Mar 31, 2024 | 25.87 Mn |
| Dec 31, 2023 | 18.15 Mn |
| Sep 30, 2023 | 31.33 Mn |
| Jun 30, 2023 | 31.73 Mn |
| Mar 31, 2023 | 33.19 Mn |
| Dec 31, 2022 | 28.67 Mn |
| Sep 30, 2022 | 27.71 Mn |
| Jun 30, 2022 | 20.67 Mn |
| Mar 31, 2022 | 12.63 Mn |
| Dec 31, 2021 | 10.15 Mn |
| Sep 30, 2021 | 13.33 Mn |
Cullen Tax 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=tax-provisions&ticker=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-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=tax-provisions&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();