American Express (AXP) Professional Fees (2009 - 2019)
American Express' Professional Fees came in at $494 million for Q1 2019, up 8.1% from $457 million a year earlier but down 26.4% from the prior quarter.
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Analysis
American Express (AXP) Professional Fees (2009 - 2019) Analysis & Trends
Over the trailing twelve months to Mar 31, 2019, American Express reported Professional Fees of $2.16 billion, up 8.3% year-over-year; for FY2018, it was $2.13 billion, up 4.2% from FY2017.
- Professional Fees carries a three-year compound annual growth rate of -8.2% (FY2015 to FY2018).
- Going back by year, Professional Fees was $2.04 billion in FY2017 (-18.7%), $2.51 billion in FY2016 (-8.8%) and $2.75 billion in FY2015.
- The five-year range for quarterly Professional Fees is $457 million (Q1 2018) to $671 million (Q4 2018).
- Year-over-year, Professional Fees increased in two of the last four quarters, with growth averaging 8.0%.
- Business Quant data shows AXP's Professional Fees at $671 million (Q4 2018), $489 million (Q3 2018) and $508 million (Q2 2018) in the three quarters before Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 424.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.17 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 494.00 Mn |
| Dec 31, 2018 | 671.00 Mn |
| Sep 30, 2018 | 489.00 Mn |
| Jun 30, 2018 | 508.00 Mn |
| Mar 31, 2018 | 457.00 Mn |
| Dec 31, 2017 | 534.00 Mn |
| Sep 30, 2017 | 494.00 Mn |
| Jun 30, 2017 | 511.00 Mn |
| Jun 30, 2012 | 711.00 Mn |
| Mar 31, 2012 | 691.00 Mn |
| Dec 31, 2011 | 853.00 Mn |
| Sep 30, 2011 | 690.00 Mn |
| Jun 30, 2011 | 745.00 Mn |
| Mar 31, 2011 | 663.00 Mn |
| Dec 31, 2010 | 908.00 Mn |
| Sep 30, 2010 | 701.00 Mn |
| Jun 30, 2010 | 636.00 Mn |
| Mar 31, 2010 | 561.00 Mn |
| Dec 31, 2009 | 715.00 Mn |
| Sep 30, 2009 | 575.00 Mn |
API Access
American Express 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=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "AXP", "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=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();