Westpac Banking (WEBNF) Total Non-Current Liabilities (2009 - 2025)
Westpac Banking (WEBNF) recorded Total Non-Current Liabilities of $687.03 billion in fiscal Q4 2025 (quarter ended Sep 30, 2025), up 2.3% from $671.49 billion a year earlier.
Westpac Banking (WEBNF) Total Non-Current Liabilities (2009 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Westpac Banking reported Total Non-Current Liabilities of $676.58 billion, up 2.3% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $661.41 billion in FY2024 (+4.0%), $635.78 billion in FY2023 (-5.2%), $670.65 billion in FY2022 (+3.7%) and $646.83 billion in FY2021.
- The fiscal Q4 2025 figure is the highest quarterly Total Non-Current Liabilities since fiscal Q4 2017.
- On a year-over-year basis, Total Non-Current Liabilities rose in three of the last four quarters, with growth averaging 2.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 7.4% in fiscal Q4 2024, against a decline of 2.8% in fiscal Q4 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | - |
| 10 | Westpac Banking | 82.12 Bn | -50.47 Bn | - | 687.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 687.03 Bn |
| Mar 31, 2025 | 642.65 Bn |
| Sep 30, 2024 | 671.49 Bn |
| Mar 31, 2024 | 643.55 Bn |
| Sep 30, 2023 | 625.23 Bn |
| Mar 31, 2023 | 645.58 Bn |
| Sep 30, 2022 | 643.24 Bn |
| Mar 31, 2022 | 645.40 Bn |
| Sep 30, 2021 | 632.46 Bn |
| Mar 31, 2021 | 628.77 Bn |
| Dec 31, 2020 | 672.00 Bn |
| Sep 30, 2020 | 599.29 Bn |
| Mar 31, 2020 | 590.64 Bn |
| Dec 31, 2019 | 602.57 Bn |
| Sep 30, 2019 | 575.30 Bn |
| Mar 31, 2019 | 587.84 Bn |
| Sep 30, 2018 | 595.21 Bn |
| Mar 31, 2018 | 627.58 Bn |
| Dec 31, 2017 | 824.92 Bn |
| Sep 30, 2017 | 617.32 Bn |
Westpac Banking Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=WEBNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=WEBNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();