Landmark Bancorp (LARK) Rent Expense (2010 - 2026)
Landmark Bancorp (LARK) reported Rent Expense of $1.45 million for Q1 2026, up 15.8% from $1.25 million a year earlier and up 12.1% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) Rent Expense (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Landmark Bancorp's Rent Expense came in at $5.35 million, down 3.1% year-over-year; for FY2025, it came in at $5.15 million, down 9.0% from FY2024.
- Rent Expense has a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- By year, Rent Expense came in at $5.66 million in FY2024 (+1.8%), $5.57 million in FY2023 (+8.7%), $5.12 million in FY2022 (+14.2%) and $4.48 million in FY2021 (+1.1%).
- The Q1 2026 figure ranks as the highest quarterly Rent Expense since Q4 2024.
- Year over year, Rent Expense gained in three of the last eight quarters, with an average decline of 1.7%.
- The high point for year-over-year Rent Expense in five years was Q3 2022 (growth of 21.3%); the low point was Q4 2025 (a decline of 16.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $1.29 million (Q4 2025), $1.36 million (Q3 2025) and $1.24 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 803.00 Mn |
| 10 | Landmark Bancorp | 194.30 Mn | 194.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.45 Mn |
| Dec 31, 2025 | 1.29 Mn |
| Sep 30, 2025 | 1.36 Mn |
| Jun 30, 2025 | 1.24 Mn |
| Mar 31, 2025 | 1.25 Mn |
| Dec 31, 2024 | 1.55 Mn |
| Sep 30, 2024 | 1.43 Mn |
| Jun 30, 2024 | 1.29 Mn |
| Mar 31, 2024 | 1.39 Mn |
| Dec 31, 2023 | 1.43 Mn |
| Sep 30, 2023 | 1.37 Mn |
| Jun 30, 2023 | 1.39 Mn |
| Mar 31, 2023 | 1.37 Mn |
| Dec 31, 2022 | 1.37 Mn |
| Sep 30, 2022 | 1.34 Mn |
| Jun 30, 2022 | 1.18 Mn |
| Mar 31, 2022 | 1.23 Mn |
| Dec 31, 2021 | 1.21 Mn |
| Sep 30, 2021 | 1.10 Mn |
| Jun 30, 2021 | 1.11 Mn |
API Access
Landmark Bancorp 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=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "ticker": "LARK", "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=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();