Banner (BANR) Interest Expenses (2010 - 2026)
Banner (BANR) reported Interest Expenses of $48.95 million for Q2 2026, down 12.4% from $55.86 million a year earlier but up 2.7% from the prior quarter.
Banner (BANR) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Banner's Interest Expenses came in at $204.99 million, down 8.8% year-over-year; for FY2025, it came in at $217.04 million, down 3.3% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 41.8% (FY2020 to FY2025).
- By year, Interest Expenses came in at $224.39 million in FY2024 (+78.7%), $125.57 million in FY2023 (+547.6%), $19.39 million in FY2022 (-17.9%) and $23.61 million in FY2021 (-37.6%).
- Five-year quarterly Interest Expenses spans a low of $3.99 million in Q2 2022 and a high of $60.17 million in Q3 2024.
- Year over year, Interest Expenses has now declined in each of the last five quarters, with growth averaging 6.3% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q3 2023 (growth of 697.6%); the low point was Q1 2022 (a decline of 38.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $47.65 million (Q1 2026), $52.53 million (Q4 2025) and $55.86 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 | Banner | 2.28 Bn | 306.79 Mn | - | 48.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.95 Mn |
| Mar 31, 2026 | 47.65 Mn |
| Dec 31, 2025 | 52.53 Mn |
| Sep 30, 2025 | 55.86 Mn |
| Jun 30, 2025 | 55.86 Mn |
| Mar 31, 2025 | 52.79 Mn |
| Dec 31, 2024 | 55.90 Mn |
| Sep 30, 2024 | 60.17 Mn |
| Jun 30, 2024 | 56.59 Mn |
| Mar 31, 2024 | 51.73 Mn |
| Dec 31, 2023 | 45.33 Mn |
| Sep 30, 2023 | 37.30 Mn |
| Jun 30, 2023 | 29.29 Mn |
| Mar 31, 2023 | 13.65 Mn |
| Dec 31, 2022 | 6.49 Mn |
| Sep 30, 2022 | 4.68 Mn |
| Jun 30, 2022 | 3.99 Mn |
| Mar 31, 2022 | 4.24 Mn |
| Dec 31, 2021 | 5.02 Mn |
| Sep 30, 2021 | 5.72 Mn |
Banner 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=BANR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "BANR", "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=BANR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();