Landmark Bancorp (LARK) Return on Assets [ROA] (2009 - 2026)
Landmark Bancorp's Return on Assets [ROA] came in at 1.19% for Q1 2026, up 0.24 percentage points from 0.95% a year earlier and up 0.03 percentage points from the prior quarter.
Landmark Bancorp (LARK) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2025, Landmark Bancorp's Return on Assets [ROA] was 1.18%, up 0.35 percentage points from FY2024.
- Return on Assets [ROA] has increased in each of the last three years, though with a five-year change of -0.60 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was 0.83% in FY2024 (+0.03 pp), 0.80% in FY2023 (+0.10 pp), 0.70% in FY2022 (-0.73 pp) and 1.43% in FY2021 (-0.35 pp).
- The Q1 2026 figure represents the highest quarterly Return on Assets [ROA] since Q1 2022.
- Year-over-year, Return on Assets [ROA] has increased for ten consecutive quarters, with an average year-over-year change of +0.19 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q2 2021 (a gain of 0.35 percentage points), and the weakest in Q3 2022 (a drop of 0.74 percentage points).
- Business Quant data shows LARK's Return on Assets [ROA] at 1.16% (Q4 2025), 1.07% (Q3 2025) and 1.02% (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 1.31% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 1,525.80% |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 0.00% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 0.82% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1.23% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 0.93% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 1.03% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 0.52% |
| 10 | Landmark Bancorp | 195.20 Mn | 84.43 Mn | - | 1.29% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.29% |
| Jun 30, 2026 | 1.25% |
| Mar 31, 2026 | 1.19% |
| Dec 31, 2025 | 1.16% |
| Sep 30, 2025 | 1.07% |
| Jun 30, 2025 | 1.02% |
| Mar 31, 2025 | 0.95% |
| Dec 31, 2024 | 0.83% |
| Sep 30, 2024 | 0.79% |
| Jun 30, 2024 | 0.73% |
| Mar 31, 2024 | 0.75% |
| Dec 31, 2023 | 0.78% |
| Sep 30, 2023 | 0.70% |
| Jun 30, 2023 | 0.68% |
| Mar 31, 2023 | 0.67% |
| Dec 31, 2022 | 0.69% |
| Sep 30, 2022 | 0.89% |
| Jun 30, 2022 | 1.06% |
| Mar 31, 2022 | 1.20% |
| Dec 31, 2021 | 1.39% |
Landmark Bancorp Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=LARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();