Landmark Bancorp (LARK) Other Operating Expenses (2010 - 2026)
Landmark Bancorp (LARK) recorded Other Operating Expenses of $2.58 million in Q1 2026, up 30.6% from $1.98 million a year earlier and up 22.4% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Landmark Bancorp's Other Operating Expenses came in at $8.88 million as of Mar 31, 2026, up 24.2% year-over-year; for FY2025, it came in at $8.27 million, up 0.4% from FY2024.
- Annual Other Operating Expenses has increased for nine straight years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $8.24 million in FY2024 (+9.9%), $7.5 million in FY2023 (+0.9%), $7.43 million in FY2022 (+3.7%) and $7.17 million in FY2021 (+16.5%).
- The Q1 2026 figure is the highest quarterly Other Operating Expenses since Q4 2020.
- On a year-over-year basis, Other Operating Expenses has increased for five consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 330.2% in Q3 2021, against a decline of 63.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.11 million (Q4 2025), $2.11 million (Q3 2025) and $2.08 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Landmark Bancorp | 189.06 Mn | 189.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.58 Mn |
| Dec 31, 2025 | 2.11 Mn |
| Sep 30, 2025 | 2.11 Mn |
| Jun 30, 2025 | 2.08 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Dec 31, 2024 | 1.22 Mn |
| Sep 30, 2024 | 2.03 Mn |
| Jun 30, 2024 | 1.92 Mn |
| Mar 31, 2024 | 1.96 Mn |
| Dec 31, 2023 | 1.75 Mn |
| Sep 30, 2023 | 1.99 Mn |
| Jun 30, 2023 | 1.87 Mn |
| Mar 31, 2023 | 1.89 Mn |
| Dec 31, 2022 | 2.38 Mn |
| Sep 30, 2022 | 1.77 Mn |
| Jun 30, 2022 | 1.56 Mn |
| Mar 31, 2022 | 1.72 Mn |
| Dec 31, 2021 | 1.78 Mn |
| Sep 30, 2021 | 1.92 Mn |
| Jun 30, 2021 | 1.73 Mn |
API Access
Landmark Bancorp Other Operating Expenses 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=other-operating-expenses&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();