Cullen (CFR) EBIT (2009 - 2026)
Cullen (CFR) recorded EBIT of $378.45 million in Q3 2026, down 2.1% from $386.5 million a year earlier but up 7.6% from the prior quarter.
Cullen (CFR) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Cullen's EBIT came in at $762.47 million as of Sep 30, 2026, up 10.2% year-over-year; for FY2025, it was $1.46 billion, down 1.7% from FY2024.
- Annual EBIT has a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $1.48 billion in FY2024 (+8.1%), $1.37 billion in FY2023 (+60.7%), $853.27 million in FY2022 (+66.2%) and $513.44 million in FY2021 (+29.5%).
- Quarterly EBIT has ranged from -$401.31 million in Q4 2024 to $386.5 million in Q3 2025 over the past five years.
- On a year-over-year basis, EBIT has declined for three consecutive quarters, with an average decline of 1.8% over the last six quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 191.1% in Q1 2023, against a decline of 8.3% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $351.58 million (Q2 2026), $341.85 million (Q1 2026) and -$309.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 46.15 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 26.78 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 19.42 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 18.35 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 26.03 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 18.49 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Cullen | 9.80 Bn | -19.95 Bn | - | 378.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 378.45 Mn |
| Jun 30, 2026 | 351.58 Mn |
| Mar 31, 2026 | 341.85 Mn |
| Dec 31, 2025 | -309.41 Mn |
| Sep 30, 2025 | 386.50 Mn |
| Jun 30, 2025 | 358.97 Mn |
| Mar 31, 2025 | 347.99 Mn |
| Dec 31, 2024 | -401.31 Mn |
| Sep 30, 2024 | 379.07 Mn |
| Jun 30, 2024 | 374.72 Mn |
| Mar 31, 2024 | 357.01 Mn |
| Dec 31, 2023 | 311.63 Mn |
| Sep 30, 2023 | 362.67 Mn |
| Jun 30, 2023 | 350.91 Mn |
| Mar 31, 2023 | 346.21 Mn |
| Dec 31, 2022 | 325.91 Mn |
| Sep 30, 2022 | 250.25 Mn |
| Jun 30, 2022 | 158.18 Mn |
| Mar 31, 2022 | 118.92 Mn |
| Dec 31, 2021 | 117.35 Mn |
Cullen EBIT 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=ebit&ticker=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();