Landmark Bancorp (LARK) Long-Term Debt Repayments (2012 - 2026)
Landmark Bancorp's Long-Term Debt Repayments was $128.59 million in Q1 2026, down 38.3% from $208.55 million a year earlier and down 41.9% 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 $799.82 million through Mar 31, 2026, down 0.3% year-over-year; for FY2025, it was $879.77 million, up 11.7% from FY2024.
- Long-Term Debt Repayments has now increased for three consecutive years, with a five-year compound annual growth rate of 39.9% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $787.89 million in FY2024 (+16.2%), $677.82 million in FY2023 (+107.8%) and $326.16 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 66.5%); 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 $221.31 million (Q4 2025), $239.41 million (Q3 2025) and $210.51 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | Landmark Bancorp | 189.06 Mn | 189.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 128.59 Mn |
| Dec 31, 2025 | 221.31 Mn |
| Sep 30, 2025 | 239.41 Mn |
| Jun 30, 2025 | 210.51 Mn |
| Mar 31, 2025 | 208.55 Mn |
| Dec 31, 2024 | 220.82 Mn |
| Sep 30, 2024 | 204.11 Mn |
| Jun 30, 2024 | 168.96 Mn |
| Mar 31, 2024 | 194.01 Mn |
| Dec 31, 2023 | 183.64 Mn |
| Sep 30, 2023 | 169.95 Mn |
| Jun 30, 2023 | 144.16 Mn |
| Mar 31, 2023 | 180.07 Mn |
| Dec 31, 2022 | 222.92 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();