Landmark Bancorp (LARK) Change in Net Loans (2012 - 2026)
Landmark Bancorp's Change in Net Loans was -$12.69 million in Q1 2026, compared with $22.32 million a year earlier.
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Analysis
Landmark Bancorp (LARK) Change in Net Loans (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Landmark Bancorp's Change in Net Loans was $26.83 million through Mar 31, 2026, down 75.7% year-over-year; for FY2025, it came in at $61.85 million, down 40.0% from FY2024.
- Change in Net Loans shows a five-year compound annual growth rate of -18.8% (FY2020 to FY2025).
- In earlier years, Change in Net Loans was $103.08 million in FY2024 (+5.9%), $97.36 million in FY2023 (+32.3%), $73.57 million in FY2022 and -$47.84 million in FY2021.
- The Q1 2026 figure marks the lowest quarterly Change in Net Loans since Q1 2022.
- Compared with a year earlier, Change in Net Loans was higher in three of the last six quarters, with growth averaging 64.8%.
- The best year-over-year quarter for Change in Net Loans over five years was Q4 2024 (growth of 343.5%); the worst was Q3 2025 (a decline of 85.1%).
- Per Business Quant data, LARK's Change in Net Loans in the three quarters before Q1 2026 was -$6.23 million (Q4 2025), $3.21 million (Q3 2025) and $42.54 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Landmark Bancorp | 189.06 Mn | 189.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -12.69 Mn |
| Dec 31, 2025 | -6.23 Mn |
| Sep 30, 2025 | 3.21 Mn |
| Jun 30, 2025 | 42.54 Mn |
| Mar 31, 2025 | 22.32 Mn |
| Dec 31, 2024 | 50.32 Mn |
| Sep 30, 2024 | 21.47 Mn |
| Jun 30, 2024 | 16.23 Mn |
| Mar 31, 2024 | 15.06 Mn |
| Dec 31, 2023 | 11.35 Mn |
| Sep 30, 2023 | 43.23 Mn |
| Jun 30, 2023 | 23.02 Mn |
| Mar 31, 2023 | 19.77 Mn |
| Dec 31, 2022 | 24.69 Mn |
| Sep 30, 2022 | 40.80 Mn |
| Jun 30, 2022 | 36.69 Mn |
| Mar 31, 2022 | -28.60 Mn |
| Dec 31, 2021 | -3.62 Mn |
| Sep 30, 2021 | -15.62 Mn |
| Jun 30, 2021 | -44.13 Mn |
API Access
Landmark Bancorp Change in Net Loans 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=change-in-net-loans&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();