Landmark Bancorp (LARK) Retained Earnings (2011 - 2026)
Landmark Bancorp's Retained Earnings was $67.45 million in Q1 2026, up 11.6% from $60.42 million a year earlier and up 6.0% from the prior quarter.
Powered by 
Analysis
Landmark Bancorp (LARK) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Landmark Bancorp came in at $63.66 million, up 11.8% from FY2024.
- Retained Earnings has now increased for three consecutive years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $56.93 million in FY2024 (+4.9%), $54.28 million in FY2023 (+4.0%), $52.17 million in FY2022 (-0.8%) and $52.59 million in FY2021 (+17.0%).
- The Q1 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2011.
- Compared with a year earlier, Retained Earnings has increased for ten straight quarters, with growth averaging 8.4% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was Q2 2021 (growth of 30.4%); the worst was Q1 2023 (a decline of 2.6%).
- Per Business Quant data, LARK's Retained Earnings in the three quarters before Q1 2026 was $63.66 million (Q4 2025), $67.33 million (Q3 2025) and $63.61 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | Landmark Bancorp | 194.30 Mn | 194.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 67.45 Mn |
| Dec 31, 2025 | 63.66 Mn |
| Sep 30, 2025 | 67.33 Mn |
| Jun 30, 2025 | 63.61 Mn |
| Mar 31, 2025 | 60.42 Mn |
| Dec 31, 2024 | 56.93 Mn |
| Sep 30, 2024 | 60.55 Mn |
| Jun 30, 2024 | 57.77 Mn |
| Mar 31, 2024 | 55.91 Mn |
| Dec 31, 2023 | 54.28 Mn |
| Sep 30, 2023 | 57.28 Mn |
| Jun 30, 2023 | 55.50 Mn |
| Mar 31, 2023 | 53.23 Mn |
| Dec 31, 2022 | 52.17 Mn |
| Sep 30, 2022 | 58.11 Mn |
| Jun 30, 2022 | 56.66 Mn |
| Mar 31, 2022 | 54.68 Mn |
| Dec 31, 2021 | 52.59 Mn |
| Sep 30, 2021 | 56.96 Mn |
| Jun 30, 2021 | 53.39 Mn |
API Access
Landmark Bancorp Retained Earnings 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=retained-earnings&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();