Lcnb (LCNB) Rent Expense (2011 - 2026)
Lcnb (LCNB) posted Rent Expense of $993,000 for Q2 2026, down 2.8% from $1.02 million a year earlier and down 2.7% from the prior quarter.
Lcnb (LCNB) Rent Expense (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent Expense at Lcnb was $3.97 million, up 4.1% year-over-year; for FY2025, it was $3.98 million, up 6.9% from FY2024.
- Annual Rent Expense has increased for five consecutive years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In prior years, Lcnb's Rent Expense was $3.73 million in FY2024 (+12.8%), $3.3 million in FY2023 (+7.6%), $3.07 million in FY2022 (+4.0%) and $2.95 million in FY2021 (+2.6%).
- Quarterly Rent Expense has run from a low of $599,000 in Q2 2023 to a high of $1.02 million in Q2 2025 over five years.
- On a year-over-year basis, Rent Expense increased in six of the last eight quarters, with growth averaging 4.3%.
- The strongest year-over-year quarter for Rent Expense in the past five years was Q2 2024, with growth of 57.6%; the weakest was Q2 2023, with a decline of 18.5%.
- According to Business Quant data, Rent Expense for the three prior quarters was $1.02 million (Q1 2026), $936,000 (Q4 2025) and $1.02 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 | Lcnb | 263.27 Mn | 151.76 Mn | - | 993,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 993,000.00 |
| Mar 31, 2026 | 1.02 Mn |
| Dec 31, 2025 | 936,000.00 |
| Sep 30, 2025 | 1.02 Mn |
| Jun 30, 2025 | 1.02 Mn |
| Mar 31, 2025 | 1.01 Mn |
| Dec 31, 2024 | 810,000.00 |
| Sep 30, 2024 | 966,000.00 |
| Jun 30, 2024 | 944,000.00 |
| Mar 31, 2024 | 1.01 Mn |
| Dec 31, 2023 | 934,000.00 |
| Sep 30, 2023 | 805,000.00 |
| Jun 30, 2023 | 599,000.00 |
| Mar 31, 2023 | 963,000.00 |
| Dec 31, 2022 | 767,000.00 |
| Sep 30, 2022 | 790,000.00 |
| Jun 30, 2022 | 735,000.00 |
| Mar 31, 2022 | 775,000.00 |
| Dec 31, 2021 | 713,000.00 |
| Sep 30, 2021 | 713,000.00 |
Lcnb 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=LCNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "ticker": "LCNB", "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=LCNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();