HBT Financial (HBT) Rent Expense (2018 - 2026)
HBT Financial (HBT) posted Rent Expense of $3.51 million for Q2 2026, up 42.0% from $2.47 million a year earlier and up 12.3% from the prior quarter.
HBT Financial (HBT) Rent Expense (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent Expense at HBT Financial was $12.25 million, up 16.0% year-over-year; for FY2025, it came in at $10.71 million, up 4.1% from FY2024.
- Annual Rent Expense has increased for five consecutive years, with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- In prior years, HBT Financial's Rent Expense was $10.29 million in FY2024 (+3.8%), $9.92 million in FY2023 (+29.3%), $7.67 million in FY2022 (+13.0%) and $6.79 million in FY2021 (+3.2%).
- The Q2 2026 figure stands as the highest quarterly Rent Expense in data going back to Q3 2018.
- On a year-over-year basis, Rent Expense has increased in each of the last eight quarters, with growth averaging 12.0% over the last eight quarters.
- The strongest year-over-year quarter for Rent Expense in the past five years was Q2 2023, with growth of 60.0%; the weakest was Q2 2024, with a decline of 19.5%.
- According to Business Quant data, Rent Expense for the three prior quarters was $3.12 million (Q1 2026), $2.79 million (Q4 2025) and $2.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 803.00 Mn |
| 10 | HBT Financial | 1.29 Bn | 588.95 Mn | - | 3.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.51 Mn |
| Mar 31, 2026 | 3.12 Mn |
| Dec 31, 2025 | 2.79 Mn |
| Sep 30, 2025 | 2.83 Mn |
| Jun 30, 2025 | 2.47 Mn |
| Mar 31, 2025 | 2.63 Mn |
| Dec 31, 2024 | 2.77 Mn |
| Sep 30, 2024 | 2.70 Mn |
| Jun 30, 2024 | 2.24 Mn |
| Mar 31, 2024 | 2.58 Mn |
| Dec 31, 2023 | 2.46 Mn |
| Sep 30, 2023 | 2.57 Mn |
| Jun 30, 2023 | 2.79 Mn |
| Mar 31, 2023 | 2.10 Mn |
| Dec 31, 2022 | 1.89 Mn |
| Sep 30, 2022 | 1.98 Mn |
| Jun 30, 2022 | 1.74 Mn |
| Mar 31, 2022 | 2.06 Mn |
| Dec 31, 2021 | 1.78 Mn |
| Sep 30, 2021 | 1.61 Mn |
HBT Financial Rent 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=rent-expense&ticker=HBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "ticker": "HBT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=rent-expense&ticker=HBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();