Landmark Bancorp (LARK) EBITDA (2012 - 2026)
Landmark Bancorp (LARK) recorded EBITDA of $12.1 million in Q1 2026, down 3.2% from $12.5 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) EBITDA (2012 - 2026) Analysis & Trends
On a TTM basis, Landmark Bancorp's EBITDA came in at $56.45 million as of Mar 31, 2026, up 22.1% year-over-year; for FY2025, it was $50.63 million, up 13.1% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $44.76 million in FY2024 (+15.6%), $38.73 million in FY2023 (+112.4%), $18.24 million in FY2022 (-32.3%) and $26.93 million in FY2021 (-9.1%).
- The Q1 2026 figure is the lowest quarterly EBITDA since Q4 2024.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 17.7%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 155.8% in Q4 2023, against a decline of 38.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.55 million (Q4 2025), $13.27 million (Q3 2025) and $18.54 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Landmark Bancorp | 194.30 Mn | 194.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 12.10 Mn |
| Dec 31, 2025 | 12.55 Mn |
| Sep 30, 2025 | 13.27 Mn |
| Jun 30, 2025 | 18.54 Mn |
| Mar 31, 2025 | 12.50 Mn |
| Dec 31, 2024 | 9.54 Mn |
| Sep 30, 2024 | 12.81 Mn |
| Jun 30, 2024 | 11.39 Mn |
| Mar 31, 2024 | 11.03 Mn |
| Dec 31, 2023 | 9.93 Mn |
| Sep 30, 2023 | 10.51 Mn |
| Jun 30, 2023 | 9.84 Mn |
| Mar 31, 2023 | 8.45 Mn |
| Dec 31, 2022 | 3.88 Mn |
| Sep 30, 2022 | 4.75 Mn |
| Jun 30, 2022 | 4.82 Mn |
| Mar 31, 2022 | 4.79 Mn |
| Dec 31, 2021 | 5.16 Mn |
| Sep 30, 2021 | 6.64 Mn |
| Jun 30, 2021 | 7.30 Mn |
API Access
Landmark Bancorp EBITDA 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=ebitda&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();