American Express (AXP) Receivables (2009 - 2020)
American Express (AXP) recorded Receivables of $40.39 billion in Q3 2020, down 31.4% from $58.86 billion a year earlier but up 9.1% from the prior quarter.
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Analysis
American Express (AXP) Receivables (2009 - 2020) Analysis & Trends
At the end of FY2019, American Express reported Receivables of $56.79 billion, down 2.5% from FY2018.
- Annual Receivables has a five-year compound annual growth rate of 3.9% (FY2014 to FY2019).
- Across earlier years, Receivables came in at $58.23 billion in FY2018 (+2.6%), $56.74 billion in FY2017 (+13.3%), $50.07 billion in FY2016 (+7.2%) and $46.7 billion in FY2015 (-0.6%).
- Quarterly Receivables has ranged from $37.03 billion in Q2 2020 to $61.27 billion in Q2 2019 over the past five years.
- On a year-over-year basis, Receivables has declined for four consecutive quarters, with an average decline of 10.5% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 13.8% in Q1 2018, against a decline of 39.6% in Q2 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $37.03 billion (Q2 2020), $44.27 billion (Q1 2020) and $56.79 billion (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 898.32 Bn | 898.32 Bn | - | - |
| 2 | Bank Of America | 385.74 Bn | -1,990.33 Bn | - | - |
| 3 | Hsbc Holdings | 330.24 Bn | -1,498.92 Bn | - | - |
| 4 | Morgan Stanley | 290.86 Bn | -218.23 Bn | - | - |
| 5 | Royal Bank Of Canada | 274.61 Bn | -555.43 Bn | - | - |
| 6 | Goldman Sachs | 268.62 Bn | -3,288.50 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 255.58 Bn | -39.36 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 248.76 Bn | 248.76 Bn | - | 27.33 Bn |
| 9 | American Express | 209.08 Bn | 906.64 Mn | - | - |
| 10 | Toronto Dominion Bank | 203.06 Bn | -472.81 Bn | - | 5.81 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 40.39 Bn |
| Jun 30, 2020 | 37.03 Bn |
| Mar 31, 2020 | 44.27 Bn |
| Dec 31, 2019 | 56.79 Bn |
| Sep 30, 2019 | 58.86 Bn |
| Jun 30, 2019 | 61.27 Bn |
| Mar 31, 2019 | 59.36 Bn |
| Dec 31, 2018 | 58.23 Bn |
| Sep 30, 2018 | 58.13 Bn |
| Jun 30, 2018 | 57.67 Bn |
| Mar 31, 2018 | 56.87 Bn |
| Dec 31, 2017 | 56.74 Bn |
| Sep 30, 2017 | 53.70 Bn |
| Jun 30, 2017 | 51.76 Bn |
| Mar 31, 2017 | 49.97 Bn |
| Dec 31, 2016 | 50.07 Bn |
| Sep 30, 2016 | 47.33 Bn |
| Jun 30, 2016 | 47.50 Bn |
| Mar 31, 2016 | 46.66 Bn |
| Dec 31, 2015 | 46.70 Bn |
API Access
American Express Receivables 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=receivables&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();