Citigroup (C) Professional Fees (2024 - 2026)
Citigroup's Professional Fees came in at $434 million for Q3 2026, down 15.6% from $514 million a year earlier and down 0.9% from the prior quarter.
Citigroup (C) Professional Fees (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Citigroup reported Professional Fees of $1.96 billion, down 8.9% year-over-year; for FY2025, it came in at $2.07 billion, up 2.8% from FY2024.
- Professional Fees carries a three-year compound annual growth rate of -5.8% (FY2022 to FY2025).
- Going back by year, Professional Fees was $2.02 billion in FY2024 (-3.0%), $2.08 billion in FY2023 (-16.2%) and $2.48 billion in FY2022.
- The Q3 2026 figure represents the lowest quarterly Professional Fees since Q1 2024.
- Year-over-year, Professional Fees increased in three of the last six quarters, with an average decline of 1.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Citigroup | 205.25 Bn | -2,192.43 Bn | 23.76 Bn | 434.00 Mn |
| 2 | Bhp | 201.96 Bn | 156.98 Bn | - | - |
| 3 | Bank Of Nova Scotia | 114.44 Bn | -316.95 Bn | - | 142.72 Mn |
| 4 | Vylor | 48.40 Bn | 46.20 Bn | 313.00 Mn | - |
| 5 | Nokia | 46.28 Bn | 46.28 Bn | 2.58 Bn | - |
| 6 | Haleon | 41.09 Bn | 34.80 Bn | - | - |
| 7 | Gold Fields | 32.02 Bn | 28.94 Bn | - | - |
| 8 | Smith & Nephew | 27.46 Bn | 24.86 Bn | - | - |
| 9 | Sprott Physical Gold Trust | 13.93 Bn | 13.78 Bn | - | - |
| 10 | Magnum Ice Cream | 12.19 Bn | 10.88 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 434.00 Mn |
| Jun 30, 2026 | 438.00 Mn |
| Mar 31, 2026 | 441.00 Mn |
| Dec 31, 2025 | 573.00 Mn |
| Sep 30, 2025 | 514.00 Mn |
| Jun 30, 2025 | 510.00 Mn |
| Mar 31, 2025 | 476.00 Mn |
| Dec 31, 2024 | 650.00 Mn |
| Sep 30, 2024 | 491.00 Mn |
| Jun 30, 2024 | 449.00 Mn |
| Mar 31, 2024 | 426.00 Mn |
Citigroup Professional Fees 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=professional-fees&ticker=C&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "C", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=C&period=max&api_key=YOUR_API_KEY");
const data = await res.json();