American Express (AXP) Deposits - Non-Interest-Bearing (2009 - 2019)
American Express' Deposits - Non-Interest-Bearing came in at $368 million for Q1 2019, up 4.2% from $353 million a year earlier but down 10.7% from the prior quarter.
American Express (AXP) Deposits - Non-Interest-Bearing (2009 - 2019) Analysis & Trends
At the end of FY2018, American Express' Deposits - Non-Interest-Bearing was $412 million, up 4.3% from FY2017.
- Deposits - Non-Interest-Bearing carries a five-year compound annual growth rate of 2.7% (FY2013 to FY2018).
- Going back by year, Deposits - Non-Interest-Bearing was $395 million in FY2017 (+7.6%), $367 million in FY2016 (-23.2%), $478 million in FY2015 (+14.4%) and $418 million in FY2014 (+16.1%).
- The five-year range for quarterly Deposits - Non-Interest-Bearing is $322 million (Q1 2017) to $478 million (Q4 2015).
- Year-over-year, Deposits - Non-Interest-Bearing has increased for eight consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- The fastest year-over-year change in Deposits - Non-Interest-Bearing over five years came in Q3 2014 (growth of 88.8%), and the weakest in Q4 2016 (a decline of 23.2%).
- Business Quant data shows AXP's Deposits - Non-Interest-Bearing at $412 million (Q4 2018), $355 million (Q3 2018) and $358 million (Q2 2018) in the three quarters before Q1 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Int. Deposits (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 655.10 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 534.13 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 365.67 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 368.00 Mn |
| Dec 31, 2018 | 412.00 Mn |
| Sep 30, 2018 | 355.00 Mn |
| Jun 30, 2018 | 358.00 Mn |
| Mar 31, 2018 | 353.00 Mn |
| Dec 31, 2017 | 395.00 Mn |
| Sep 30, 2017 | 337.00 Mn |
| Jun 30, 2017 | 348.00 Mn |
| Mar 31, 2017 | 322.00 Mn |
| Dec 31, 2016 | 367.00 Mn |
| Sep 30, 2016 | 333.00 Mn |
| Jun 30, 2016 | 343.00 Mn |
| Mar 31, 2016 | 405.00 Mn |
| Dec 31, 2015 | 478.00 Mn |
| Sep 30, 2015 | 356.00 Mn |
| Jun 30, 2015 | 354.00 Mn |
| Mar 31, 2015 | 356.00 Mn |
| Dec 31, 2014 | 418.00 Mn |
| Sep 30, 2014 | 336.00 Mn |
| Jun 30, 2014 | 336.00 Mn |
American Express Deposits - Non-Interest-Bearing 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=deposits-non-interest-bearing&ticker=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "deposits-non-interest-bearing", "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=deposits-non-interest-bearing&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();