Hsbc Holdings (HSBC) Real Estate - Net (2009 - 2023)
Hsbc Holdings' Real Estate - Net came in at $1.13 million for Q4 2023, up 10.2% from $1.02 million a year earlier.
Analysis
Hsbc Holdings (HSBC) Real Estate - Net (2009 - 2023) Analysis & Trends
Going back to Q1 2009, Hsbc Holdings' Real Estate - Net data covers 23 quarters.
- Real Estate - Net carries a five-year compound annual growth rate of 1.7% (FY2018 to FY2023).
- Going back by year, Real Estate - Net was $1.02 million in FY2022 (-100.0%), $2.63 billion in FY2021, $1.11 million in FY2020 (+8.9%) and $1.02 million in FY2019 (-1.6%).
- The Q4 2023 figure represents the highest quarterly Real Estate - Net since Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.13 Mn |
| Dec 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | 1.12 Mn |
| Dec 31, 2020 | 1.11 Mn |
| Dec 31, 2019 | 1.02 Mn |
| Sep 30, 2019 | 8.21 Mn |
| Jun 30, 2019 | 8.35 Mn |
| Dec 31, 2018 | 1.04 Mn |
| Dec 31, 2017 | 1.07 Mn |
| Jun 30, 2015 | 9.11 Mn |
| Dec 31, 2014 | 9.28 Mn |
| Jun 30, 2014 | 9.64 Mn |
| Sep 30, 2011 | 371.00 Mn |
| Jun 30, 2011 | 8.59 Mn |
| Mar 31, 2011 | 847.00 Mn |
| Dec 31, 2010 | 418.82 Mn |
| Sep 30, 2010 | 908.00 Mn |
| Jun 30, 2010 | 7.35 Mn |
| Mar 31, 2010 | 661.00 Mn |
| Dec 31, 2009 | 370.55 Mn |
API Access
Hsbc Holdings Real Estate - 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=real-estate-net&ticker=HSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-net", "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=real-estate-net&ticker=HSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();