Cullen (CFR) EBITDA (2010 - 2026)
Cullen (CFR) recorded EBITDA of $374.01 million in Q2 2026, down 1.8% from $380.81 million a year earlier but up 2.7% from the prior quarter.
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Analysis
Cullen (CFR) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Cullen's EBITDA came in at $859.21 million as of Jun 30, 2026, up 11.5% year-over-year; for FY2025, it was $1.54 billion, down 1.3% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $1.56 billion in FY2024 (+8.1%), $1.45 billion in FY2023 (+56.6%), $924.61 million in FY2022 (+58.7%) and $582.73 million in FY2021 (+26.5%).
- Quarterly EBITDA has ranged from -$379.9 million in Q4 2024 to $408.73 million in Q3 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in two of the last six quarters, with an average decline of 0.3%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 167.2% in Q1 2023, against a decline of 6.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $364.07 million (Q1 2026), -$287.6 million (Q4 2025) and $408.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Cullen | 9.49 Bn | -21.09 Bn | - | 374.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 374.01 Mn |
| Mar 31, 2026 | 364.07 Mn |
| Dec 31, 2025 | -287.60 Mn |
| Sep 30, 2025 | 408.73 Mn |
| Jun 30, 2025 | 380.81 Mn |
| Mar 31, 2025 | 369.89 Mn |
| Dec 31, 2024 | -379.90 Mn |
| Sep 30, 2024 | 399.79 Mn |
| Jun 30, 2024 | 395.18 Mn |
| Mar 31, 2024 | 377.25 Mn |
| Dec 31, 2023 | 331.81 Mn |
| Sep 30, 2023 | 381.85 Mn |
| Jun 30, 2023 | 369.52 Mn |
| Mar 31, 2023 | 364.69 Mn |
| Dec 31, 2022 | 343.95 Mn |
| Sep 30, 2022 | 268.15 Mn |
| Jun 30, 2022 | 176.04 Mn |
| Mar 31, 2022 | 136.47 Mn |
| Dec 31, 2021 | 135.09 Mn |
| Sep 30, 2021 | 144.91 Mn |
API Access
Cullen EBITDA 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=ebitda&ticker=CFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();