Landmark Bancorp (LARK) Consolidated Net Income (2010 - 2026)
Landmark Bancorp's Consolidated Net Income was $5.07 million in Q1 2026, up 7.8% from $4.7 million a year earlier and up 6.9% from the prior quarter.
Landmark Bancorp (LARK) Consolidated Net Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Landmark Bancorp's Consolidated Net Income was $19.14 million through Mar 31, 2026, up 28.2% year-over-year; for FY2025, it was $18.78 million, up 44.4% from FY2024.
- Consolidated Net Income has now increased for three consecutive years, though with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In earlier years, Consolidated 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 marks the highest quarterly Consolidated Net Income since Q1 2021.
- Compared with a year earlier, Consolidated Net Income has increased for seven straight quarters, with growth averaging 30.4% over the last eight quarters.
- The best year-over-year quarter for Consolidated Net Income over five years was Q4 2023 (growth of 117.7%); the worst was Q4 2022 (a decline of 61.5%).
- Per Business Quant data, LARK's Consolidated Net Income in the three quarters before Q1 2026 was $4.74 million (Q4 2025), $4.93 million (Q3 2025) and $4.4 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 6.65 Bn |
| 10 | Landmark Bancorp | 191.31 Mn | 191.31 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 Consolidated 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=consolidated-net-income&ticker=LARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-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=consolidated-net-income&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();