Landmark Bancorp (LARK) Net Income (2010 - 2026)
Landmark Bancorp (LARK) posted Net Income of $5.07 million for Q1 2026, up 7.8% from $4.7 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) Net Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Net Income at Landmark Bancorp was $19.14 million, up 28.2% year-over-year; for FY2025, it came in at $18.78 million, up 44.4% from FY2024.
- Annual Net Income has increased for three consecutive years, though with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In prior years, Landmark Bancorp's Net Income was $13 million in FY2024 (+6.3%), $12.24 million in FY2023 (+23.9%), $9.88 million in FY2022 (-45.2%) and $18.01 million in FY2021 (-7.6%).
- The Q1 2026 figure stands as the highest quarterly Net Income since Q1 2021.
- On a year-over-year basis, Net Income has increased in each of the last seven quarters, with growth averaging 30.4% over the last eight quarters.
- The strongest year-over-year quarter for Net Income in the past five years was Q4 2023, with growth of 117.7%; the weakest was Q4 2022, with a decline of 61.5%.
- According to Business Quant data, Net Income for the three prior quarters was $4.74 million (Q4 2025), $4.93 million (Q3 2025) and $4.4 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.65 Bn |
| 10 | Landmark Bancorp | 189.06 Mn | 189.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.07 Mn |
| Dec 31, 2025 | 4.74 Mn |
| Sep 30, 2025 | 4.93 Mn |
| Jun 30, 2025 | 4.40 Mn |
| Mar 31, 2025 | 4.70 Mn |
| Dec 31, 2024 | 3.28 Mn |
| Sep 30, 2024 | 3.93 Mn |
| Jun 30, 2024 | 3.01 Mn |
| Mar 31, 2024 | 2.78 Mn |
| Dec 31, 2023 | 2.64 Mn |
| Sep 30, 2023 | 2.88 Mn |
| Jun 30, 2023 | 3.36 Mn |
| Mar 31, 2023 | 3.36 Mn |
| Dec 31, 2022 | 1.21 Mn |
| Sep 30, 2022 | 2.50 Mn |
| Jun 30, 2022 | 3.03 Mn |
| Mar 31, 2022 | 3.13 Mn |
| Dec 31, 2021 | 3.15 Mn |
| Sep 30, 2021 | 4.52 Mn |
| Jun 30, 2021 | 4.98 Mn |
API Access
Landmark Bancorp Net Income 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=net-income&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();