Landmark Bancorp (LARK) Amortization - Intangibles (2010 - 2026)
Landmark Bancorp (LARK) posted Amortization - Intangibles of $228,000 for Q1 2026, down 4.6% from $239,000 a year earlier but up 1.8% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Amortization - Intangibles at Landmark Bancorp was $937,000, down 5.4% year-over-year; for FY2025, it was $948,000, down 18.6% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- In prior years, Landmark Bancorp's Amortization - Intangibles was $1.16 million in FY2024 (-36.9%), $1.84 million in FY2023 (+27.5%), $1.45 million in FY2022 (-9.7%) and $1.6 million in FY2021 (-0.1%).
- Quarterly Amortization - Intangibles has run from a low of $224,000 in Q4 2025 to a high of $481,000 in Q4 2022 over five years.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last ten quarters, with an average decline of 25.1% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q3 2023, with growth of 51.0%; the weakest was Q3 2024, with a decline of 46.0%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $224,000 (Q4 2025), $247,000 (Q3 2025) and $238,000 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Landmark Bancorp | 189.06 Mn | 189.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 228,000.00 |
| Dec 31, 2025 | 224,000.00 |
| Sep 30, 2025 | 247,000.00 |
| Jun 30, 2025 | 238,000.00 |
| Mar 31, 2025 | 239,000.00 |
| Dec 31, 2024 | 240,000.00 |
| Sep 30, 2024 | 256,000.00 |
| Jun 30, 2024 | 256,000.00 |
| Mar 31, 2024 | 412,000.00 |
| Dec 31, 2023 | 437,000.00 |
| Sep 30, 2023 | 474,000.00 |
| Jun 30, 2023 | 472,000.00 |
| Mar 31, 2023 | 461,000.00 |
| Dec 31, 2022 | 481,000.00 |
| Sep 30, 2022 | 314,000.00 |
| Jun 30, 2022 | 335,000.00 |
| Mar 31, 2022 | 316,000.00 |
| Dec 31, 2021 | 376,000.00 |
| Sep 30, 2021 | 376,000.00 |
| Jun 30, 2021 | 412,000.00 |
API Access
Landmark Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();