Cullen (CFR) Operating Expenses (2009 - 2026)
Cullen's Operating Expenses came in at $361.7 million for Q2 2026, up 4.2% from $347.13 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Cullen (CFR) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cullen reported Operating Expenses of $1.45 billion, up 7.1% year-over-year; for FY2025, it came in at $1.42 billion, up 8.9% from FY2024.
- Operating Expenses has increased in each of the last 16 years, with a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.3 billion in FY2024 (+6.0%), $1.23 billion in FY2023 (+20.0%), $1.02 billion in FY2022 (+16.1%) and $881.99 million in FY2021 (+3.9%).
- The five-year range for quarterly Operating Expenses is $218 million (Q3 2021) to $371.67 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 5.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 29.8%), and the weakest in Q4 2024 (a decline of 8.0%).
- Business Quant data shows CFR's Operating Expenses at $365.69 million (Q1 2026), $371.67 million (Q4 2025) and $352.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Cullen | 9.49 Bn | -21.09 Bn | - | 361.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 361.70 Mn |
| Mar 31, 2026 | 365.69 Mn |
| Dec 31, 2025 | 371.67 Mn |
| Sep 30, 2025 | 352.48 Mn |
| Jun 30, 2025 | 347.13 Mn |
| Mar 31, 2025 | 348.07 Mn |
| Dec 31, 2024 | 336.17 Mn |
| Sep 30, 2024 | 323.41 Mn |
| Jun 30, 2024 | 316.96 Mn |
| Mar 31, 2024 | 326.22 Mn |
| Dec 31, 2023 | 365.22 Mn |
| Sep 30, 2023 | 293.26 Mn |
| Jun 30, 2023 | 285.04 Mn |
| Mar 31, 2023 | 285.14 Mn |
| Dec 31, 2022 | 281.30 Mn |
| Sep 30, 2022 | 257.90 Mn |
| Jun 30, 2022 | 246.35 Mn |
| Mar 31, 2022 | 238.73 Mn |
| Dec 31, 2021 | 238.60 Mn |
| Sep 30, 2021 | 218.00 Mn |
API Access
Cullen Operating Expenses 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=operating-expenses&ticker=CFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();