Cullen (CFR) Other Operating Expenses (2009 - 2026)
Cullen's Other Operating Expenses was $69.5 million in Q2 2026, down 1.2% from $70.35 million a year earlier and down 2.4% from the prior quarter.
Cullen (CFR) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cullen's Other Operating Expenses was $283.04 million through Jun 30, 2026, up 9.6% year-over-year; for FY2025, it was $277.16 million, up 13.4% from FY2024.
- Other Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $244.41 million in FY2024 (+6.6%), $229.37 million in FY2023 (+17.8%), $194.7 million in FY2022 (+13.1%) and $172.15 million in FY2021 (+3.5%).
- Quarterly Other Operating Expenses has moved between $38.02 million (Q3 2021) and $77.96 million (Q4 2025) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in six of the last eight quarters, with growth averaging 7.9%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2025 (growth of 23.3%); the worst was Q4 2024 (a decline of 5.9%).
- Per Business Quant data, CFR's Other Operating Expenses in the three quarters before Q2 2026 was $71.21 million (Q1 2026), $77.96 million (Q4 2025) and $64.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Cullen | 9.49 Bn | -21.09 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.50 Mn |
| Mar 31, 2026 | 71.21 Mn |
| Dec 31, 2025 | 77.96 Mn |
| Sep 30, 2025 | 64.37 Mn |
| Jun 30, 2025 | 70.35 Mn |
| Mar 31, 2025 | 64.47 Mn |
| Dec 31, 2024 | 63.23 Mn |
| Sep 30, 2024 | 60.21 Mn |
| Jun 30, 2024 | 60.22 Mn |
| Mar 31, 2024 | 60.75 Mn |
| Dec 31, 2023 | 67.20 Mn |
| Sep 30, 2023 | 56.28 Mn |
| Jun 30, 2023 | 54.10 Mn |
| Mar 31, 2023 | 51.80 Mn |
| Dec 31, 2022 | 59.17 Mn |
| Sep 30, 2022 | 45.84 Mn |
| Jun 30, 2022 | 46.58 Mn |
| Mar 31, 2022 | 42.84 Mn |
| Dec 31, 2021 | 55.41 Mn |
| Sep 30, 2021 | 38.02 Mn |
Cullen Other 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=other-operating-expenses&ticker=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();