American Express (AXP) Receivables - Net (2009 - 2020)
American Express (AXP) recorded Receivables - Net of $40.39 billion in Q3 2020, down 27.9% from $56.01 billion a year earlier but up 9.1% from the prior quarter.
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Analysis
American Express (AXP) Receivables - Net (2009 - 2020) Analysis & Trends
At the end of FY2019, American Express reported Receivables - Net of $56.79 billion, up 2.7% from FY2018.
- Annual Receivables - Net has increased for four straight years, with a five-year compound annual growth rate of 5.1% (FY2014 to FY2019).
- Across earlier years, Receivables - Net came in at $55.32 billion in FY2018 (+3.4%), $53.53 billion in FY2017 (+14.3%), $46.84 billion in FY2016 (+7.3%) and $43.67 billion in FY2015 (-1.6%).
- Quarterly Receivables - Net has ranged from $37.03 billion in Q2 2020 to $58.09 billion in Q2 2019 over the past five years.
- On a year-over-year basis, Receivables - Net has declined for three consecutive quarters, with an average decline of 8.3% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 14.3% in Q4 2017, against a decline of 36.2% 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) |
|---|---|---|---|---|
| 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
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 | 56.01 Bn |
| Jun 30, 2019 | 58.09 Bn |
| Mar 31, 2019 | 56.23 Bn |
| Dec 31, 2018 | 55.32 Bn |
| Sep 30, 2018 | 54.97 Bn |
| Jun 30, 2018 | 54.42 Bn |
| Mar 31, 2018 | 53.68 Bn |
| Dec 31, 2017 | 53.53 Bn |
| Sep 30, 2017 | 51.00 Bn |
| Jun 30, 2017 | 48.93 Bn |
| Mar 31, 2017 | 47.15 Bn |
| Dec 31, 2016 | 46.84 Bn |
| Sep 30, 2016 | 44.82 Bn |
| Jun 30, 2016 | 44.80 Bn |
| Mar 31, 2016 | 44.03 Bn |
| Dec 31, 2015 | 43.67 Bn |
API Access
American Express Receivables - Net 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-net&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();