Landmark Bancorp Inc (LARK) Operating Expenses (2010 - 2026)
Landmark Bancorp (LARK) recorded Operating Expenses of $11.9 million in Q1 2026, up 10.6% from $10.76 million a year earlier but down 3.0% from the prior quarter.
Landmark Bancorp Inc (LARK) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Landmark Bancorp's Operating Expenses came in at $46.37 million as of Mar 31, 2026, up 4.7% year-over-year; for FY2025, it was $45.23 million, up 2.6% from FY2024.
- Annual Operating Expenses has increased for seven straight years, with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $44.08 million in FY2024 (+5.0%), $41.98 million in FY2023 (+1.7%), $41.27 million in FY2022 (+10.8%) and $37.26 million in FY2021 (+2.7%).
- Quarterly Operating Expenses has ranged from $8.84 million in Q1 2022 to $13.95 million in Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 46.1% in Q4 2022, against a decline of 24.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.26 million (Q4 2025), $11.25 million (Q3 2025) and $10.96 million (Q2 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.90 Mn |
| Dec 31, 2025 | 12.26 Mn |
| Sep 30, 2025 | 11.25 Mn |
| Jun 30, 2025 | 10.96 Mn |
| Mar 31, 2025 | 10.76 Mn |
| Dec 31, 2024 | 11.87 Mn |
| Sep 30, 2024 | 10.56 Mn |
| Jun 30, 2024 | 11.10 Mn |
| Mar 31, 2024 | 10.55 Mn |
| Dec 31, 2023 | 10.56 Mn |
| Sep 30, 2023 | 10.73 Mn |
| Jun 30, 2023 | 10.35 Mn |
| Mar 31, 2023 | 10.34 Mn |
| Dec 31, 2022 | 13.95 Mn |
| Sep 30, 2022 | 9.46 Mn |
| Jun 30, 2022 | 9.02 Mn |
| Mar 31, 2022 | 8.84 Mn |
| Dec 31, 2021 | 9.55 Mn |
| Sep 30, 2021 | 9.44 Mn |
| Jun 30, 2021 | 9.19 Mn |
Landmark Bancorp Inc 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=operating-expenses&ticker=LARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();