Landmark Bancorp (LARK) Income After Tax (2009 - 2026)
Landmark Bancorp's Income After Tax came in at $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) Income After Tax (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Landmark Bancorp reported Income After Tax of $19.14 million, up 28.2% year-over-year; for FY2025, it came in at $18.78 million, up 44.4% from FY2024.
- Income After Tax has increased in each of the last three years, though with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by year, Income After Tax 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 represents the highest quarterly Income After Tax since Q1 2021.
- Year-over-year, Income After Tax has increased for seven consecutive quarters, with growth averaging 30.4% over the last eight quarters.
- The fastest year-over-year change in Income After Tax over five years came in Q4 2023 (growth of 117.7%), and the weakest in Q4 2022 (a decline of 61.5%).
- Business Quant data shows LARK's Income After Tax at $4.74 million (Q4 2025), $4.93 million (Q3 2025) and $4.4 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 15.31 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 6.93 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 11.69 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 4.97 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.29 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 5.94 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.31 Bn |
| 10 | Landmark Bancorp | 195.20 Mn | 84.43 Mn | - | 5.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.47 Mn |
| Jun 30, 2026 | 5.39 Mn |
| 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 |
API Access
Landmark Bancorp Income After Tax 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=profit-after-tax&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();