Hills Bancorporation (HBIA) Interest Expenses (2010 - 2026)
Hills Bancorporation's Interest Expenses came in at $18.69 million for Q2 2026, down 10.7% from $20.94 million a year earlier but up 0.5% from the prior quarter.
Hills Bancorporation (HBIA) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hills Bancorporation reported Interest Expenses of $78.9 million, down 9.2% year-over-year; for FY2025, it came in at $83.59 million, down 4.6% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 25.4% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $87.62 million in FY2024 (+53.6%), $57.03 million in FY2023 (+254.6%), $16.09 million in FY2022 (-8.7%) and $17.63 million in FY2021 (-34.6%).
- The five-year range for quarterly Interest Expenses is $3.06 million (Q1 2022) to $22.44 million (Q4 2024).
- Year-over-year, Interest Expenses has declined for five consecutive quarters, with growth averaging 2.6% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2023 (growth of 316.0%), and the weakest in Q1 2022 (a decline of 37.6%).
- Business Quant data shows HBIA's Interest Expenses at $18.59 million (Q1 2026), $20.28 million (Q4 2025) and $21.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 10.97 Bn |
| 10 | Hills Bancorporation | 815.34 Mn | 627.84 Mn | - | 18.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.69 Mn |
| Mar 31, 2026 | 18.59 Mn |
| Dec 31, 2025 | 20.28 Mn |
| Sep 30, 2025 | 21.33 Mn |
| Jun 30, 2025 | 20.94 Mn |
| Mar 31, 2025 | 21.04 Mn |
| Dec 31, 2024 | 22.44 Mn |
| Sep 30, 2024 | 22.42 Mn |
| Jun 30, 2024 | 21.71 Mn |
| Mar 31, 2024 | 21.05 Mn |
| Dec 31, 2023 | 18.68 Mn |
| Sep 30, 2023 | 15.90 Mn |
| Jun 30, 2023 | 12.87 Mn |
| Mar 31, 2023 | 9.59 Mn |
| Dec 31, 2022 | 5.83 Mn |
| Sep 30, 2022 | 4.10 Mn |
| Jun 30, 2022 | 3.09 Mn |
| Mar 31, 2022 | 3.06 Mn |
| Dec 31, 2021 | 3.96 Mn |
| Sep 30, 2021 | 4.17 Mn |
Hills Bancorporation 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=HBIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "HBIA", "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=HBIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();