Hsbc Holdings (HSBC) Subordinated Debt (2009 - 2015)
Hsbc Holdings' Subordinated Debt came in at $39.1 billion for Q4 2012, down 2.7% from $40.2 billion a year earlier.
Analysis
Hsbc Holdings (HSBC) Subordinated Debt (2009 - 2015) Analysis & Trends
Going back to Q4 2009, Hsbc Holdings' Subordinated Debt data covers 4 quarters.
- Subordinated Debt carries a three-year compound annual growth rate of -1.1% (FY2009 to FY2012).
- Going back by year, Subordinated Debt was $40.2 billion in FY2011 (-7.4%), $43.4 billion in FY2010 (+7.4%) and $40.4 billion in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Subordinated Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 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 | - | 9.69 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | -626.05 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | - |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 33.98 Bn |
| Dec 31, 2014 | 35.66 Bn |
| Jun 30, 2014 | 36.69 Bn |
| Dec 31, 2012 | 39.10 Bn |
| Dec 31, 2011 | 40.20 Bn |
| Dec 31, 2010 | 739.30 Mn |
| Sep 30, 2010 | 727.85 Mn |
| Jun 30, 2010 | 698.29 Mn |
| Mar 31, 2010 | 724.69 Mn |
| Dec 31, 2009 | 792.62 Mn |
| Sep 30, 2009 | 780.53 Mn |
| Jun 30, 2009 | 710.78 Mn |
| Mar 31, 2009 | 629.95 Mn |
API Access
Hsbc Holdings Subordinated Debt 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=subordinated-debt&ticker=HSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "subordinated-debt", "ticker": "HSBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=subordinated-debt&ticker=HSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();