American Express (AXP) Loans - Gross (2009 - 2019)
American Express (AXP) recorded Loans - Gross of $56.84 billion in Q1 2019, up 4.8% from $54.24 billion a year earlier and up 1.7% from the prior quarter.
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Analysis
American Express (AXP) Loans - Gross (2009 - 2019) Analysis & Trends
At the end of FY2018, American Express reported Loans - Gross of $55.89 billion, up 3.4% from FY2017.
- Annual Loans - Gross has increased for three straight years, with a five-year compound annual growth rate of 4.8% (FY2013 to FY2018).
- Across earlier years, Loans - Gross came in at $54.05 billion in FY2017 (+14.2%), $47.31 billion in FY2016 (+7.2%), $44.13 billion in FY2015 (-1.6%) and $44.85 billion in FY2014 (+1.6%).
- The Q1 2019 figure is the highest quarterly Loans - Gross in data going back to Q4 2009.
- On a year-over-year basis, Loans - Gross has increased for 13 consecutive quarters, with growth averaging 9.8% over the last eight quarters.
- Peak year-over-year performance for Loans - Gross in the last five years was growth of 14.2% in Q4 2017, against a decline of 2.1% in Q1 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at $55.89 billion (Q4 2018), $55.52 billion (Q3 2018) and $54.98 billion (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Gross (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 1,542.46 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 1,217.62 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 | - | 800.51 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 | - | 1,031.12 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 56.84 Bn |
| Dec 31, 2018 | 55.89 Bn |
| Sep 30, 2018 | 55.52 Bn |
| Jun 30, 2018 | 54.98 Bn |
| Mar 31, 2018 | 54.24 Bn |
| Dec 31, 2017 | 54.05 Bn |
| Sep 30, 2017 | 51.51 Bn |
| Jun 30, 2017 | 49.41 Bn |
| Mar 31, 2017 | 47.65 Bn |
| Dec 31, 2016 | 47.31 Bn |
| Sep 30, 2016 | 45.26 Bn |
| Jun 30, 2016 | 45.22 Bn |
| Mar 31, 2016 | 44.47 Bn |
| Dec 31, 2015 | 44.13 Bn |
| Sep 30, 2015 | 44.33 Bn |
| Jun 30, 2015 | 44.88 Bn |
| Mar 31, 2015 | 43.70 Bn |
| Dec 31, 2014 | 44.85 Bn |
| Sep 30, 2014 | 45.12 Bn |
| Jun 30, 2014 | 45.31 Bn |
API Access
American Express Loans - Gross 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=loans-gross&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-gross", "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=loans-gross&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();