Woori Financial (WF) Interest Expenses (2009 - 2026)
Woori Financial's Interest Expenses was -$2.13 billion in Q2 2026, compared with -$2.04 billion a year earlier.
Woori Financial (WF) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Woori Financial's Interest Expenses was $3.58 billion through Jun 30, 2026, down 32.0% year-over-year; for FY2025, it was $8.42 trillion, down 5.2% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 381.7% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $8.88 trillion in FY2024 (-3.6%), $9.22 trillion in FY2023 (+95.0%), $4.73 trillion in FY2022 (+93.2%) and $2.45 trillion in FY2021.
- Quarterly Interest Expenses has moved between -$2.46 billion (Q1 2024) and $9.4 billion (Q4 2024) over five years.
- Compared with a year earlier, Interest Expenses was higher in three of the last four quarters, with growth averaging 14.5%.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2023 (growth of 106.0%); the worst was Q4 2021 (a decline of 22.2%).
- Per Business Quant data, WF's Interest Expenses in the three quarters before Q2 2026 was -$2.15 billion (Q1 2026), $7.85 billion (Q4 2025) and $13.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Woori Financial | 18.41 Bn | -300.13 Bn | - | -2.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.13 Bn |
| Mar 31, 2026 | -2.15 Bn |
| Dec 31, 2025 | 7.85 Bn |
| Sep 30, 2025 | 13.54 Mn |
| Jun 30, 2025 | -2.04 Bn |
| Mar 31, 2025 | -2.11 Bn |
| Dec 31, 2024 | 9.40 Bn |
| Sep 30, 2024 | 9.84 Mn |
| Jun 30, 2024 | -2.35 Bn |
| Mar 31, 2024 | -2.46 Bn |
| Dec 31, 2023 | 9.01 Bn |
| Sep 30, 2023 | 7.42 Mn |
| Jun 30, 2023 | -2.17 Bn |
| Mar 31, 2023 | -2.13 Bn |
| Dec 31, 2022 | 4.37 Bn |
| Sep 30, 2022 | 6.00 Mn |
| Jun 30, 2022 | -920.06 Mn |
| Mar 31, 2022 | -791.42 Mn |
| Dec 31, 2021 | 2.44 Bn |
| Sep 30, 2021 | -619.33 Mn |
Woori Financial Interest 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=interest-expenses&ticker=WF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "WF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=WF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();