Landmark Bancorp (LARK) Occupancy Expense (2009 - 2026)
Landmark Bancorp (LARK) reported Occupancy Expense of $1.39 million for Q3 2026, up 1.5% from $1.36 million a year earlier.
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Analysis
Landmark Bancorp (LARK) Occupancy Expense (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Landmark Bancorp's Occupancy Expense came in at $5.49 million, up 1.5% year-over-year; for FY2025, it came in at $5.15 million, down 9.0% from FY2024.
- Occupancy Expense has a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- By year, Occupancy 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%).
- Five-year quarterly Occupancy Expense spans a low of $1.18 million in Q2 2022 and a high of $1.55 million in Q4 2024.
- Year over year, Occupancy Expense gained in three of the last seven quarters, with an average decline of 1.3%.
- The high point for year-over-year Occupancy Expense in five years was Q3 2022 (growth of 21.3%); the low point was Q4 2025 (a decline of 16.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Landmark Bancorp | 195.20 Mn | 84.43 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.39 Mn |
| Jun 30, 2026 | 1.21 Mn |
| 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 |
API Access
Landmark Bancorp Occupancy 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=occupancy-expense&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-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=occupancy-expense&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();