Cullen (CFR) Wages, Salaries and Other (2009 - 2026)
Cullen's Wages, Salaries and Other came in at $182.18 million for Q3 2026, up 7.7% from $169.16 million a year earlier and up 5.3% from the prior quarter.
Cullen (CFR) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Cullen reported Wages, Salaries and Other of $703.81 million, up 7.0% year-over-year; for FY2025, it was $674.65 million, up 8.6% from FY2024.
- Wages, Salaries and Other has increased in each of the last 16 years, with a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- Going back by year, Wages, Salaries and Other was $621.39 million in FY2024 (+13.5%), $547.72 million in FY2023 (+11.3%), $492.1 million in FY2022 (+24.4%) and $395.5 million in FY2021 (+2.1%).
- The five-year range for quarterly Wages, Salaries and Other is $105.54 million (Q4 2021) to $182.49 million (Q4 2025).
- Year-over-year, Wages, Salaries and Other has increased for 22 consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Wages, Salaries and Other ran from 0.7% in Q4 2021 to 29.5% in Q4 2022.
- Business Quant data shows CFR's Wages, Salaries and Other at $172.96 million (Q2 2026), $166.19 million (Q1 2026) and $182.49 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 14.77 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 10.97 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.00 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.51 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.12 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 8.75 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Cullen | 9.84 Bn | -19.92 Bn | - | 182.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 182.18 Mn |
| Jun 30, 2026 | 172.96 Mn |
| Mar 31, 2026 | 166.19 Mn |
| Dec 31, 2025 | 182.49 Mn |
| Sep 30, 2025 | 169.16 Mn |
| Jun 30, 2025 | 162.15 Mn |
| Mar 31, 2025 | 160.86 Mn |
| Dec 31, 2024 | 165.52 Mn |
| Sep 30, 2024 | 156.64 Mn |
| Jun 30, 2024 | 151.24 Mn |
| Mar 31, 2024 | 148.00 Mn |
| Dec 31, 2023 | 146.62 Mn |
| Sep 30, 2023 | 137.56 Mn |
| Jun 30, 2023 | 133.20 Mn |
| Mar 31, 2023 | 130.35 Mn |
| Dec 31, 2022 | 136.70 Mn |
| Sep 30, 2022 | 127.19 Mn |
| Jun 30, 2022 | 116.88 Mn |
| Mar 31, 2022 | 111.33 Mn |
| Dec 31, 2021 | 105.54 Mn |
Cullen Wages, Salaries and Other 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=wages-salaries-and-other&ticker=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();