Hsbc Holdings (HSBC) Occupancy Expense (2009 - 2021)
Hsbc Holdings (HSBC) recorded Occupancy Expense of $675 million in Q3 2022.
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Analysis
Hsbc Holdings (HSBC) Occupancy Expense (2009 - 2021) Analysis & Trends
On a TTM basis, Hsbc Holdings' Occupancy Expense came in at $3.1 billion as of Sep 30, 2022; for FY2021, it was $2.47 billion, down 20.1% from FY2020.
- Across earlier years, Occupancy Expense came in at $3.1 billion in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 | - |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 1.20 Bn |
| Sep 30, 2021 | 404.00 Mn |
| Jun 30, 2021 | 535.00 Mn |
| Dec 31, 2020 | 1.54 Bn |
| Sep 30, 2020 | 639.00 Mn |
| Mar 31, 2020 | 172.00 Mn |
| Dec 31, 2019 | 9.61 Bn |
| Mar 31, 2019 | 156.00 Mn |
| Dec 31, 2018 | 1.64 Bn |
| Dec 31, 2017 | 3.74 Bn |
| Sep 30, 2017 | 770.00 Mn |
| Jun 30, 2017 | 719.00 Mn |
| Mar 31, 2017 | 1.13 Bn |
| Dec 31, 2016 | 9.39 Bn |
| Sep 30, 2016 | 1.47 Bn |
| Mar 31, 2016 | 974.00 Mn |
| Dec 31, 2015 | 5.95 Bn |
| Sep 30, 2015 | 1.09 Bn |
| Sep 30, 2011 | 73.00 Mn |
| Jun 30, 2011 | -82.67 Mn |
API Access
Hsbc Holdings Occupancy Expense 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=occupancy-expense&ticker=HSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=HSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();