American Express (AXP) Financial Services Fees (2009 - 2018)
American Express (AXP) reported Financial Services Fees of $798 million for Q3 2018, up 5.7% from $755 million a year earlier and up 1.5% from the prior quarter.
American Express (AXP) Financial Services Fees (2009 - 2018) Analysis & Trends
Over the twelve months ended Sep 30, 2018, American Express' Financial Services Fees came in at $3.18 billion, up 9.9% year-over-year; for FY2017, it came in at $3.02 billion, up 9.8% from FY2016.
- Financial Services Fees has a five-year compound annual growth rate of 5.5% (FY2012 to FY2017).
- By year, Financial Services Fees came in at $2.75 billion in FY2016 (-3.9%), $2.87 billion in FY2015 (-21.0%), $3.63 billion in FY2014 (+50.2%) and $2.41 billion in FY2013 (+4.2%).
- Five-year quarterly Financial Services Fees spans a low of $618 million in Q1 2014 and a high of $1.74 billion in Q4 2014.
- Year over year, Financial Services Fees has now increased in each of the last seven quarters, with growth averaging 7.0% over the last eight quarters.
- The high point for year-over-year Financial Services Fees in five years was Q4 2014 (growth of 178.3%); the low point was Q4 2015 (a decline of 59.6%).
- Per Business Quant data, the three quarters before Q3 2018 came in at $786 million (Q2 2018), $781 million (Q1 2018) and $810 million (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 798.00 Mn |
| Jun 30, 2018 | 786.00 Mn |
| Mar 31, 2018 | 781.00 Mn |
| Dec 31, 2017 | 810.00 Mn |
| Sep 30, 2017 | 755.00 Mn |
| Jun 30, 2017 | 746.00 Mn |
| Mar 31, 2017 | 711.00 Mn |
| Dec 31, 2016 | 677.00 Mn |
| Sep 30, 2016 | 694.00 Mn |
| Jun 30, 2016 | 702.00 Mn |
| Mar 31, 2016 | 680.00 Mn |
| Dec 31, 2015 | 704.00 Mn |
| Sep 30, 2015 | 727.00 Mn |
| Jun 30, 2015 | 727.00 Mn |
| Mar 31, 2015 | 708.00 Mn |
| Dec 31, 2014 | 1.74 Bn |
| Sep 30, 2014 | 642.00 Mn |
| Jun 30, 2014 | 624.00 Mn |
| Mar 31, 2014 | 618.00 Mn |
| Dec 31, 2013 | 626.00 Mn |
American Express Financial Services 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=financial-services-fees&ticker=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-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=financial-services-fees&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();