Landmark Bancorp Inc (LARK) EPS (Diluted) (2010 - 2026)
Landmark Bancorp (LARK) recorded EPS (Diluted) of $0.83 in Q1 2026, up 7.2% from $0.77 a year earlier and up 6.5% from the prior quarter.
Landmark Bancorp Inc (LARK) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a TTM basis, Landmark Bancorp's EPS (Diluted) came in at $3.12 as of Mar 31, 2026, up 27.5% year-over-year; for FY2025, it came in at $3.07, up 42.8% from FY2024.
- Annual EPS (Diluted) has increased for three straight years, though with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Across earlier years, EPS (Diluted) came in at $2.15 in FY2024 (+6.1%), $2.02 in FY2023 (+24.5%), $1.63 in FY2022 (-45.0%) and $2.96 in FY2021 (-7.9%).
- The Q1 2026 figure is the highest quarterly EPS (Diluted) since Q1 2021.
- On a year-over-year basis, EPS (Diluted) has increased for seven consecutive quarters, with growth averaging 29.4% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 118.8% in Q4 2023, against a decline of 61.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $0.77 (Q4 2025), $0.81 (Q3 2025) and $0.72 (Q2 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.83 |
| Dec 31, 2025 | 0.77 |
| Sep 30, 2025 | 0.81 |
| Jun 30, 2025 | 0.72 |
| Mar 31, 2025 | 0.77 |
| Dec 31, 2024 | 0.54 |
| Sep 30, 2024 | 0.65 |
| Jun 30, 2024 | 0.50 |
| Mar 31, 2024 | 0.46 |
| Dec 31, 2023 | 0.44 |
| Sep 30, 2023 | 0.48 |
| Jun 30, 2023 | 0.56 |
| Mar 31, 2023 | 0.56 |
| Dec 31, 2022 | 0.20 |
| Sep 30, 2022 | 0.41 |
| Jun 30, 2022 | 0.50 |
| Mar 31, 2022 | 0.51 |
| Dec 31, 2021 | 0.52 |
| Sep 30, 2021 | 0.74 |
| Jun 30, 2021 | 0.82 |
Landmark Bancorp Inc EPS (Diluted) 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=eps-diluted&ticker=LARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();