Landmark Bancorp (LARK) EBIT (2010 - 2026)
Landmark Bancorp (LARK) recorded EBIT of $11.54 million in Q1 2026, down 3.3% from $11.94 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Landmark Bancorp's EBIT came in at $54.21 million as of Mar 31, 2026, up 23.5% year-over-year; for FY2025, it came in at $48.38 million, up 14.5% from FY2024.
- Annual EBIT has increased for three straight years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $42.26 million in FY2024 (+18.8%), $35.58 million in FY2023 (+127.3%), $15.66 million in FY2022 (-35.7%) and $24.33 million in FY2021 (-10.0%).
- The Q1 2026 figure is the lowest quarterly EBIT since Q4 2024.
- On a year-over-year basis, EBIT rose in six of the last eight quarters, with growth averaging 20.0%.
- Peak year-over-year performance for EBIT in the last five years was growth of 194.2% in Q4 2023, against a decline of 41.3% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.98 million (Q4 2025), $12.71 million (Q3 2025) and $17.99 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 19.01 Bn |
| 10 | Landmark Bancorp | 194.30 Mn | 194.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.54 Mn |
| Dec 31, 2025 | 11.98 Mn |
| Sep 30, 2025 | 12.71 Mn |
| Jun 30, 2025 | 17.99 Mn |
| Mar 31, 2025 | 11.94 Mn |
| Dec 31, 2024 | 8.95 Mn |
| Sep 30, 2024 | 12.22 Mn |
| Jun 30, 2024 | 10.81 Mn |
| Mar 31, 2024 | 10.29 Mn |
| Dec 31, 2023 | 9.13 Mn |
| Sep 30, 2023 | 9.72 Mn |
| Jun 30, 2023 | 9.06 Mn |
| Mar 31, 2023 | 7.68 Mn |
| Dec 31, 2022 | 3.10 Mn |
| Sep 30, 2022 | 4.16 Mn |
| Jun 30, 2022 | 4.20 Mn |
| Mar 31, 2022 | 4.19 Mn |
| Dec 31, 2021 | 4.53 Mn |
| Sep 30, 2021 | 6.01 Mn |
| Jun 30, 2021 | 6.65 Mn |
API Access
Landmark Bancorp EBIT 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=ebit&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();