Landmark Bancorp (LARK) Long-Term Debt Issuances (2009 - 2026)
Landmark Bancorp (LARK) reported Long-Term Debt Issuances of $185.42 million for Q1 2026, down 9.4% from $204.6 million a year earlier but up 29.7% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) Long-Term Debt Issuances (2009 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Landmark Bancorp's Long-Term Debt Issuances came in at $820.64 million, up 5.3% year-over-year; for FY2025, it came in at $839.82 million, up 7.8% from FY2024.
- Long-Term Debt Issuances has increased for three consecutive years, with a five-year compound annual growth rate of 38.9% (FY2020 to FY2025).
- By year, Long-Term Debt Issuances came in at $779.09 million in FY2024 (+7.1%), $727.63 million in FY2023 (+115.6%), $337.43 million in FY2022 and $1.03 million in FY2021 (-99.4%).
- Five-year quarterly Long-Term Debt Issuances spans a low of $7,000 in Q2 2022 and a high of $317.18 million in Q2 2025.
- Year over year, Long-Term Debt Issuances gained in four of the last eight quarters, with growth averaging 5.8%.
- The high point for year-over-year Long-Term Debt Issuances in five years was Q2 2025 (growth of 40.3%); the low point was Q4 2025 (a decline of 22.0%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $142.93 million (Q4 2025), $175.11 million (Q3 2025) and $317.18 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 33.78 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.74 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 39.51 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 38.92 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 11.04 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Landmark Bancorp | 195.20 Mn | 84.43 Mn | - | 818.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 818.91 Mn |
| Jun 30, 2026 | -186.09 Mn |
| Mar 31, 2026 | 185.42 Mn |
| Dec 31, 2025 | 142.93 Mn |
| Sep 30, 2025 | 175.11 Mn |
| Jun 30, 2025 | 317.18 Mn |
| Mar 31, 2025 | 204.60 Mn |
| Dec 31, 2024 | 183.26 Mn |
| Sep 30, 2024 | 165.16 Mn |
| Jun 30, 2024 | 226.04 Mn |
| Mar 31, 2024 | 204.63 Mn |
| Dec 31, 2023 | 167.08 Mn |
| Sep 30, 2023 | 168.33 Mn |
| Jun 30, 2023 | 182.54 Mn |
| Mar 31, 2023 | 209.67 Mn |
| Dec 31, 2022 | 149.29 Mn |
| Sep 30, 2022 | 189.32 Mn |
| Jun 30, 2022 | -2.06 Mn |
| Mar 31, 2022 | 881,000.00 |
| Dec 31, 2021 | 1.18 Mn |
API Access
Landmark Bancorp Long-Term Debt Issuances 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-issuances&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();