Landmark Bancorp (LARK) Securities - Tradable (2011 - 2026)
Landmark Bancorp's Securities - Tradable was $342.06 million in Q1 2026, down 3.9% from $355.99 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) Securities - Tradable (2011 - 2026) Analysis & Trends
At the end of FY2025, Securities - Tradable at Landmark Bancorp came in at $348.16 million, down 6.5% from FY2024.
- Securities - Tradable has now declined for three consecutive years, though with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In earlier years, Securities - Tradable was $372.51 million in FY2024 (-17.7%), $452.77 million in FY2023 (-7.5%), $489.31 million in FY2022 (+28.5%) and $380.72 million in FY2021 (+30.5%).
- The Q1 2026 figure marks the lowest quarterly Securities - Tradable since Q1 2021.
- Compared with a year earlier, Securities - Tradable has declined for 12 straight quarters, with an average decline of 12.6% over the last eight quarters.
- The best year-over-year quarter for Securities - Tradable over five years was Q1 2022 (growth of 45.5%); the worst was Q1 2025 (a decline of 18.6%).
- Per Business Quant data, LARK's Securities - Tradable in the three quarters before Q1 2026 was $348.16 million (Q4 2025), $350.03 million (Q3 2025) and $352.44 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Landmark Bancorp | 194.30 Mn | 194.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 342.06 Mn |
| Dec 31, 2025 | 348.16 Mn |
| Sep 30, 2025 | 350.03 Mn |
| Jun 30, 2025 | 352.44 Mn |
| Mar 31, 2025 | 355.99 Mn |
| Dec 31, 2024 | 372.51 Mn |
| Sep 30, 2024 | 411.01 Mn |
| Jun 30, 2024 | 420.46 Mn |
| Mar 31, 2024 | 437.28 Mn |
| Dec 31, 2023 | 452.77 Mn |
| Sep 30, 2023 | 456.86 Mn |
| Jun 30, 2023 | 484.38 Mn |
| Mar 31, 2023 | 490.17 Mn |
| Dec 31, 2022 | 489.31 Mn |
| Sep 30, 2022 | 484.11 Mn |
| Jun 30, 2022 | 486.63 Mn |
| Mar 31, 2022 | 466.98 Mn |
| Dec 31, 2021 | 380.72 Mn |
| Sep 30, 2021 | 378.52 Mn |
| Jun 30, 2021 | 343.94 Mn |
API Access
Landmark Bancorp Securities - Tradable 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=securities-tradable&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-tradable", "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=securities-tradable&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();