Landmark Bancorp (LARK) Property, Plant & Equipment (Net) (2011 - 2026)
Landmark Bancorp (LARK) posted Property, Plant & Equipment (Net) of $19.12 million for Q1 2026, down 3.9% from $19.89 million a year earlier and down 1.1% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Landmark Bancorp's Property, Plant & Equipment (Net) came in at $19.33 million, down 4.4% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In prior years, Landmark Bancorp's Property, Plant & Equipment (Net) was $20.22 million in FY2024 (+2.6%), $19.71 million in FY2023 (-19.0%), $24.33 million in FY2022 (+16.9%) and $20.8 million in FY2021 (+1.5%).
- The Q1 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2013.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last five quarters, with an average decline of 6.0% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q4 2022, with growth of 16.9%; the weakest was Q4 2023, with a decline of 19.0%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $19.33 million (Q4 2025), $19.45 million (Q3 2025) and $19.65 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 37.70 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 12.79 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 4.96 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 8.82 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 11.63 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 7.28 Bn |
| 10 | Landmark Bancorp | 199.06 Mn | 199.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 19.12 Mn |
| Dec 31, 2025 | 19.33 Mn |
| Sep 30, 2025 | 19.45 Mn |
| Jun 30, 2025 | 19.65 Mn |
| Mar 31, 2025 | 19.89 Mn |
| Dec 31, 2024 | 20.22 Mn |
| Sep 30, 2024 | 20.98 Mn |
| Jun 30, 2024 | 20.99 Mn |
| Mar 31, 2024 | 20.70 Mn |
| Dec 31, 2023 | 19.71 Mn |
| Sep 30, 2023 | 23.91 Mn |
| Jun 30, 2023 | 24.03 Mn |
| Mar 31, 2023 | 24.24 Mn |
| Dec 31, 2022 | 24.33 Mn |
| Sep 30, 2022 | 20.63 Mn |
| Jun 30, 2022 | 20.68 Mn |
| Mar 31, 2022 | 20.92 Mn |
| Dec 31, 2021 | 20.80 Mn |
| Sep 30, 2021 | 20.36 Mn |
| Jun 30, 2021 | 20.14 Mn |
API Access
Landmark Bancorp Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();