Westpac Banking (WEBNF) Operating Expenses (2009 - 2025)
Westpac Banking (WEBNF) posted Operating Expenses of -$7.68 billion for FY2025 (year ended Sep 30, 2025).
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Analysis
Westpac Banking (WEBNF) Operating Expenses (2009 - 2025) Analysis & Trends
Since FY2009, Westpac Banking has reported Operating Expenses for 17 fiscal years.
- The FY2025 figure stands as the lowest annual Operating Expenses since FY2021.
- Business Quant data shows WEBNF's Operating Expenses at -$7.16 billion in FY2024, -$6.96 billion in FY2023, -$7.1 billion in FY2022 and -$9.7 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Westpac Banking | 82.12 Bn | -50.47 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 3.77 Mn |
| Mar 31, 2024 | 5.27 Mn |
| Sep 30, 2021 | 9.79 Bn |
| Dec 31, 2020 | 9.31 Bn |
| Dec 31, 2019 | 6.90 Bn |
| Sep 30, 2014 | 8.55 Bn |
| Dec 31, 2013 | 7.98 Bn |
| Mar 31, 2013 | 3.00 Mn |
| Dec 31, 2012 | 7.96 Bn |
| Sep 30, 2010 | 2.71 Mn |
| Mar 31, 2010 | 904,570.72 |
| Mar 31, 2009 | 2.28 Bn |
API Access
Westpac Banking Operating Expenses 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=operating-expenses&ticker=WEBNF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WEBNF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=WEBNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();