First Financial Corp /In/ (THFF) Equipment Expense (2010 - 2026)
Analysis
First Financial Corp /In/ (THFF) Equipment Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.30 Mn |
| Mar 31, 2026 | 5.34 Mn |
| Dec 31, 2025 | 5.10 Mn |
| Sep 30, 2025 | 4.81 Mn |
| Jun 30, 2025 | 4.59 Mn |
| Mar 31, 2025 | 4.51 Mn |
| Dec 31, 2024 | 4.88 Mn |
| Sep 30, 2024 | 4.28 Mn |
| Jun 30, 2024 | 4.31 Mn |
| Mar 31, 2024 | 4.14 Mn |
| Dec 31, 2023 | 3.62 Mn |
| Sep 30, 2023 | 3.58 Mn |
| Jun 30, 2023 | 3.53 Mn |
| Mar 31, 2023 | 3.30 Mn |
| Dec 31, 2022 | 3.21 Mn |
| Sep 30, 2022 | 3.31 Mn |
| Jun 30, 2022 | 2.96 Mn |
| Mar 31, 2022 | 2.91 Mn |
| Dec 31, 2021 | 2.98 Mn |
| Sep 30, 2021 | 2.18 Mn |
API Access
First Financial Corp /In/ Equipment Expense 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=equipment-expense&ticker=THFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-expense", "ticker": "THFF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=equipment-expense&ticker=THFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();