Landmark Bancorp (LARK) Profit After Tax (2010 - 2026)
Landmark Bancorp's Profit 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.
Landmark Bancorp (LARK) Profit After Tax (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Landmark Bancorp reported Profit 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.
- Profit 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, Profit 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 Profit After Tax since Q1 2021.
- Year-over-year, Profit 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 Profit 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 Profit 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | 330.90 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 6.65 Bn |
| 10 | Landmark Bancorp | 190.95 Mn | 190.95 Mn | - | - |
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 |
Landmark Bancorp Profit 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_KEY
import 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();