Landmark Bancorp (LARK) Long-Term Debt Repayments (2012 - 2026)
Landmark Bancorp's Long-Term Debt Repayments was $128.93 million in Q1 2026, down 38.3% from $208.88 million a year earlier and down 42.1% from the prior quarter.
Landmark Bancorp (LARK) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Landmark Bancorp's Long-Term Debt Repayments was $802.35 million through Mar 31, 2026, down 0.3% year-over-year; for FY2025, it was $882.3 million, up 11.6% from FY2024.
- Long-Term Debt Repayments has now increased for three consecutive years, with a five-year compound annual growth rate of 39.8% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $790.7 million in FY2024 (+16.3%), $680.17 million in FY2023 (+107.9%) and $327.23 million in FY2022.
- The Q1 2026 figure marks the lowest quarterly Long-Term Debt Repayments since Q3 2022.
- Compared with a year earlier, Long-Term Debt Repayments was higher in seven of the last eight quarters, with growth averaging 8.6%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2023 (growth of 66.8%); the worst was Q1 2022 (a decline of 81.9%).
- Per Business Quant data, LARK's Long-Term Debt Repayments in the three quarters before Q1 2026 was $222.84 million (Q4 2025), $239.74 million (Q3 2025) and $210.84 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 25.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 31.73 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 33.18 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 16.57 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 3.97 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Landmark Bancorp | 195.20 Mn | 84.43 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 128.93 Mn |
| Dec 31, 2025 | 222.84 Mn |
| Sep 30, 2025 | 239.74 Mn |
| Jun 30, 2025 | 210.84 Mn |
| Mar 31, 2025 | 208.88 Mn |
| Dec 31, 2024 | 222.27 Mn |
| Sep 30, 2024 | 204.44 Mn |
| Jun 30, 2024 | 169.42 Mn |
| Mar 31, 2024 | 194.57 Mn |
| Dec 31, 2023 | 184.99 Mn |
| Sep 30, 2023 | 170.28 Mn |
| Jun 30, 2023 | 144.50 Mn |
| Mar 31, 2023 | 180.40 Mn |
| Dec 31, 2022 | 223.99 Mn |
| Sep 30, 2022 | 102.06 Mn |
| Jun 30, 2022 | 781,000.00 |
| Mar 31, 2022 | 399,000.00 |
| Sep 30, 2021 | -1.69 Mn |
| Jun 30, 2021 | -369,000.00 |
| Mar 31, 2021 | 2.21 Mn |
Landmark Bancorp Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();