Wilson Bank Holding Co (WBHC) Interest Expense - Others (2010 - 2026)
Analysis
Wilson Bank Holding Co (WBHC) Interest Expense - Others (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.18 Mn |
| Mar 31, 2026 | 10.35 Mn |
| Dec 31, 2025 | 12.08 Mn |
| Sep 30, 2025 | 12.60 Mn |
| Jun 30, 2025 | 11.02 Mn |
| Mar 31, 2025 | 9.93 Mn |
| Dec 31, 2024 | 10.97 Mn |
| Sep 30, 2024 | 10.42 Mn |
| Jun 30, 2024 | 9.90 Mn |
| Mar 31, 2024 | 9.01 Mn |
| Dec 31, 2023 | 8.04 Mn |
| Sep 30, 2023 | 7.49 Mn |
| Jun 30, 2023 | 6.71 Mn |
| Mar 31, 2023 | 5.23 Mn |
| Dec 31, 2022 | 3.98 Mn |
| Sep 30, 2022 | 1.96 Mn |
| Jun 30, 2022 | 693,000.00 |
| Mar 31, 2022 | 458,000.00 |
| Dec 31, 2021 | 441,000.00 |
| Sep 30, 2021 | 481,000.00 |
API Access
Wilson Bank Holding Co Interest Expense - Others 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-expense-others&ticker=WBHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-others", "ticker": "WBHC", "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-expense-others&ticker=WBHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();