Westpac Banking (WEBNF) Receivables (2012 - 2025)
Westpac Banking (WEBNF) posted Receivables of $32.24 billion for fiscal Q4 2025 (quarter ended Sep 30, 2025), down 8.6% from $35.27 billion a year earlier.
Westpac Banking (WEBNF) Receivables (2012 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Westpac Banking's Receivables came in at $31.74 billion, down 8.6% from FY2024.
- Annual Receivables has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -23.8% (FY2020 to FY2025).
- In prior fiscal years, Westpac Banking's Receivables was $34.75 billion in FY2024 (-3.4%), $35.95 billion in FY2023 (-8.0%), $39.07 billion in FY2022 (+8.6%) and $35.97 billion in FY2021 (-70.9%).
- The fiscal Q4 2025 figure stands as the lowest quarterly Receivables since fiscal Q4 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 27.33 Bn |
| 10 | Westpac Banking | 82.12 Bn | -50.47 Bn | - | 32.24 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 32.24 Bn |
| Sep 30, 2024 | 35.27 Bn |
| Sep 30, 2023 | 35.36 Bn |
| Sep 30, 2022 | 37.47 Bn |
| Sep 30, 2021 | 35.18 Bn |
| Sep 30, 2020 | 130.06 Bn |
| Sep 30, 2019 | 98.73 Bn |
| Sep 30, 2018 | 983.47 Mn |
| Sep 30, 2017 | 3.14 Bn |
| Dec 31, 2012 | 92.76 Bn |
Westpac Banking Receivables 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=receivables&ticker=WEBNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=WEBNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();