Landmark Bancorp (LARK) Gains from Sales and Divestitures (2016 - 2026)
Landmark Bancorp's Gains from Sales and Divestitures came in at $32,000 for Q1 2026, up 88.2% from the prior quarter.
Landmark Bancorp (LARK) Gains from Sales and Divestitures (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Landmark Bancorp reported Gains from Sales and Divestitures of $384,000; for FY2025, it was $81,000, down 75.2% from FY2024.
- Going back by year, Gains from Sales and Divestitures was $326,000 in FY2024, $1,000 in FY2023 (-99.1%), $114,000 in FY2022 and -$5,000 in FY2021.
- The Q1 2026 figure represents the highest quarterly Gains from Sales and Divestitures since Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Landmark Bancorp | 191.31 Mn | 191.31 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 32,000.00 |
| Dec 31, 2025 | 17,000.00 |
| Dec 31, 2024 | 608,000.00 |
| Sep 30, 2024 | -273,000.00 |
| Mar 31, 2024 | -9,000.00 |
| Mar 31, 2022 | 114,000.00 |
| Dec 31, 2021 | -29,000.00 |
| Sep 30, 2021 | 19,000.00 |
| Mar 31, 2021 | 5,000.00 |
| Dec 31, 2020 | 9,000.00 |
| Sep 30, 2020 | 7,000.00 |
| Jun 30, 2020 | -44,000.00 |
| Mar 31, 2020 | -1,000.00 |
| Dec 31, 2019 | 50,000.00 |
| Sep 30, 2019 | -2,000.00 |
| Dec 31, 2018 | -17,000.00 |
| Sep 30, 2018 | -42,000.00 |
| Mar 31, 2018 | 1,000.00 |
| Sep 30, 2017 | 7,000.00 |
| Jun 30, 2017 | 25,000.00 |
Landmark Bancorp Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=LARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();