Barclays (BCS) Subordinated Debt (2009 - 2020)
Barclays' Subordinated Debt came in at $1.96 billion for Q4 2020, up 10.6% from $1.77 billion a year earlier.
Analysis
Barclays (BCS) Subordinated Debt (2009 - 2020) Analysis & Trends
Going back to Q4 2009, Barclays' Subordinated Debt data covers 11 quarters.
- Subordinated Debt carries a five-year compound annual growth rate of 3.1% (FY2015 to FY2020).
- Going back by year, Subordinated Debt was $1.77 billion in FY2019 (+532.0%), $280.53 million in FY2018 (-93.1%) and $4.09 billion in FY2017.
- The Q4 2020 figure represents the highest quarterly Subordinated Debt since Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Subordinated Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.86 Bn | 918.86 Bn | - | - |
| 2 | Bank Of America | 355.02 Bn | -2,021.04 Bn | - | - |
| 3 | Hsbc Holdings | 299.60 Bn | -1,803.99 Bn | - | - |
| 4 | Morgan Stanley | 288.82 Bn | 288.82 Bn | - | - |
| 5 | Royal Bank Of Canada | 288.46 Bn | -541.58 Bn | - | 9.69 Bn |
| 6 | Goldman Sachs | 269.80 Bn | 269.80 Bn | - | - |
| 7 | Wells Fargo & Company | 258.84 Bn | 258.84 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 244.75 Bn | -96.64 Bn | 10.89 Bn | - |
| 9 | American Express | 221.16 Bn | 20.64 Bn | - | - |
| 10 | Barclays | 79.79 Bn | -1,629.13 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 1.96 Bn |
| Dec 31, 2019 | 1.77 Bn |
| Dec 31, 2018 | 280.53 Mn |
| Dec 31, 2017 | 4.09 Bn |
| Dec 31, 2015 | 1.69 Bn |
| Dec 31, 2014 | 1.71 Bn |
| Dec 31, 2013 | 2.35 Bn |
| Dec 31, 2012 | -4.33 Bn |
| Dec 31, 2011 | -6.17 Bn |
| Dec 31, 2010 | 3.29 Bn |
| Dec 31, 2009 | -7.09 Bn |
API Access
Barclays 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=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "subordinated-debt", "ticker": "BCS", "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=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();