Cullen (CFR) Income After Tax (2009 - 2026)
Cullen (CFR) recorded Income After Tax of $180.21 million in Q3 2026, up 3.3% from $174.38 million a year earlier and up 4.7% from the prior quarter.
Cullen (CFR) Income After Tax (2009 - 2026) Analysis & Trends
On a TTM basis, Cullen's Income After Tax came in at $689.51 million as of Sep 30, 2026, up 8.2% year-over-year; for FY2025, it came in at $648.56 million, up 11.3% from FY2024.
- Annual Income After Tax has a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- Across earlier years, Income After Tax came in at $582.54 million in FY2024 (-2.6%), $597.97 million in FY2023 (+3.3%), $579.15 million in FY2022 (+30.7%) and $443.08 million in FY2021 (+33.8%).
- The Q3 2026 figure is the highest quarterly Income After Tax since Q4 2022.
- On a year-over-year basis, Income After Tax has increased for eight consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- Peak year-over-year performance for Income After Tax in the last five years was growth of 89.2% in Q4 2022, against a decline of 46.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $172.06 million (Q2 2026), $170.99 million (Q1 2026) and $166.25 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 15.31 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 6.93 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 11.69 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 4.97 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.29 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 5.94 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.31 Bn |
| 10 | Cullen | 9.84 Bn | -19.92 Bn | - | 180.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 180.21 Mn |
| Jun 30, 2026 | 172.06 Mn |
| Mar 31, 2026 | 170.99 Mn |
| Dec 31, 2025 | 166.25 Mn |
| Sep 30, 2025 | 174.38 Mn |
| Jun 30, 2025 | 157.00 Mn |
| Mar 31, 2025 | 150.92 Mn |
| Dec 31, 2024 | 154.85 Mn |
| Sep 30, 2024 | 146.50 Mn |
| Jun 30, 2024 | 145.50 Mn |
| Mar 31, 2024 | 135.69 Mn |
| Dec 31, 2023 | 102.55 Mn |
| Sep 30, 2023 | 155.65 Mn |
| Jun 30, 2023 | 162.12 Mn |
| Mar 31, 2023 | 177.65 Mn |
| Dec 31, 2022 | 191.17 Mn |
| Sep 30, 2022 | 169.76 Mn |
| Jun 30, 2022 | 119.11 Mn |
| Mar 31, 2022 | 99.10 Mn |
| Dec 31, 2021 | 101.02 Mn |
Cullen Income After Tax 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=profit-after-tax&ticker=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();