Landmark Bancorp (LARK) Loans - Gross (2016 - 2026)
Landmark Bancorp (LARK) recorded Loans - Gross of $1.1 billion in Q1 2026, down 1.2% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) Loans - Gross (2016 - 2026) Analysis & Trends
At the end of FY2025, Landmark Bancorp reported Loans - Gross of $1.11 billion.
- Annual Loans - Gross has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- Across earlier years, Loans - Gross came in at $850.19 million in FY2022.
- The Q1 2026 figure is the lowest quarterly Loans - Gross since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Gross (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 1,542.46 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1,217.62 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 | - | 800.51 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 | - | 1,031.12 Bn |
| 10 | Landmark Bancorp | 194.30 Mn | 194.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2023 | 937.43 Mn |
| Jun 30, 2023 | 893.26 Mn |
| Dec 31, 2022 | 850.19 Mn |
| Sep 30, 2021 | 664.74 Mn |
| Jun 30, 2021 | 685.22 Mn |
| Dec 31, 2020 | 713.51 Mn |
| Mar 31, 2020 | 561.04 Mn |
| Dec 31, 2019 | 538.39 Mn |
| Sep 30, 2019 | 526.44 Mn |
| Jun 30, 2019 | 516.36 Mn |
| Mar 31, 2019 | 496.50 Mn |
| Dec 31, 2018 | 495.25 Mn |
| Dec 31, 2017 | 439.24 Mn |
| Dec 31, 2016 | 425.77 Mn |
API Access
Landmark Bancorp Loans - Gross 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=loans-gross&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-gross", "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=loans-gross&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();