Landmark Bancorp (LARK) Amortizatization of Intangibles (2012 - 2026)
Landmark Bancorp's Amortizatization of Intangibles came in at $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) Amortizatization of Intangibles (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Landmark Bancorp reported Amortizatization of Intangibles of $937,000, down 5.4% year-over-year; for FY2025, it came in at $948,000, down 18.6% from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- Going back by year, Amortizatization of 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%).
- The five-year range for quarterly Amortizatization of Intangibles is $224,000 (Q4 2025) to $481,000 (Q4 2022).
- Year-over-year, Amortizatization of Intangibles has declined for ten consecutive quarters, with an average decline of 25.1% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q3 2023 (growth of 51.0%), and the weakest in Q3 2024 (a decline of 46.0%).
- Business Quant data shows LARK's Amortizatization of Intangibles at $224,000 (Q4 2025), $247,000 (Q3 2025) and $238,000 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | - | 287.60 Mn |
| 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
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 Amortizatization of 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=amortizatization-of-intangibles&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();