Landmark Bancorp (LARK) Tax Provisions (2010 - 2026)
Landmark Bancorp's Tax Provisions came in at $1.25 million for Q1 2026, up 23.4% from $1.02 million a year earlier and up 5.5% from the prior quarter.
Landmark Bancorp (LARK) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Landmark Bancorp reported Tax Provisions of $4.52 million, up 185.3% year-over-year; for FY2025, it came in at $4.28 million, up 293.9% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $1.09 million in FY2024 (-44.4%), $1.95 million in FY2023 (+36.5%), $1.43 million in FY2022 (-70.3%) and $4.81 million in FY2021 (+0.6%).
- The Q1 2026 figure represents the highest quarterly Tax Provisions since Q2 2021.
- Year-over-year, Tax Provisions increased in five of the last six quarters, with growth averaging 37.3%.
- The fastest year-over-year change in Tax Provisions over five years came in Q1 2025 (growth of 95.9%), and the weakest in Q3 2022 (a decline of 53.3%).
- Business Quant data shows LARK's Tax Provisions at $1.19 million (Q4 2025), $1.13 million (Q3 2025) and $944,000 (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Landmark Bancorp | 189.06 Mn | 189.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.25 Mn |
| Dec 31, 2025 | 1.19 Mn |
| Sep 30, 2025 | 1.13 Mn |
| Jun 30, 2025 | 944,000.00 |
| Mar 31, 2025 | 1.02 Mn |
| Dec 31, 2024 | -886,000.00 |
| Sep 30, 2024 | 867,000.00 |
| Jun 30, 2024 | 587,000.00 |
| Mar 31, 2024 | 518,000.00 |
| Dec 31, 2023 | -111,000.00 |
| Sep 30, 2023 | 671,000.00 |
| Jun 30, 2023 | 701,000.00 |
| Mar 31, 2023 | 693,000.00 |
| Dec 31, 2022 | -466,000.00 |
| Sep 30, 2022 | 522,000.00 |
| Jun 30, 2022 | 639,000.00 |
| Mar 31, 2022 | 737,000.00 |
| Dec 31, 2021 | 1.04 Mn |
| Sep 30, 2021 | 1.12 Mn |
| Jun 30, 2021 | 1.28 Mn |
Landmark Bancorp Tax Provisions 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=tax-provisions&ticker=LARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();