Horizon Bancorp Inc /In/ (HBNC) Professional Fees (2010 - 2026)
Analysis
Horizon Bancorp Inc /In/ (HBNC) Professional Fees (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -63,000.00 |
| Mar 31, 2026 | 929,000.00 |
| Dec 31, 2025 | 1.08 Mn |
| Sep 30, 2025 | 808,000.00 |
| Jun 30, 2025 | 735,000.00 |
| Mar 31, 2025 | 826,000.00 |
| Dec 31, 2024 | 736,000.00 |
| Sep 30, 2024 | 676,000.00 |
| Jun 30, 2024 | 714,000.00 |
| Mar 31, 2024 | 607,000.00 |
| Dec 31, 2023 | 772,000.00 |
| Sep 30, 2023 | 707,000.00 |
| Jun 30, 2023 | 633,000.00 |
| Mar 31, 2023 | 533,000.00 |
| Dec 31, 2022 | 694,000.00 |
| Sep 30, 2022 | 552,000.00 |
| Jun 30, 2022 | 283,000.00 |
| Mar 31, 2022 | 314,000.00 |
| Dec 31, 2021 | 562,000.00 |
| Sep 30, 2021 | 522,000.00 |
API Access
Horizon Bancorp Inc /In/ Professional Fees 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=professional-fees&ticker=HBNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "HBNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=HBNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();