Landmark Bancorp (LARK) Cash from Operations (2012 - 2026)
Landmark Bancorp (LARK) recorded Cash from Operations of $6.83 million in Q1 2026, down 14.9% from $8.02 million a year earlier but up 138.1% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) Cash from Operations (2012 - 2026) Analysis & Trends
On a TTM basis, Landmark Bancorp's Cash from Operations came in at $20.44 million as of Mar 31, 2026, up 5.3% year-over-year; for FY2025, it came in at $21.63 million, up 52.0% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $14.24 million in FY2024 (+12.9%), $12.6 million in FY2023 (-49.1%), $24.78 million in FY2022 (-20.5%) and $31.16 million in FY2021 (+110.4%).
- Quarterly Cash from Operations has ranged from -$1.09 million in Q4 2024 to $11.49 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash from Operations rose in four of the last six quarters, with growth averaging 46.8%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 181.2% in Q1 2025, against a decline of 90.0% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.87 million (Q4 2025), $10.31 million (Q3 2025) and $439,000 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Landmark Bancorp | 189.06 Mn | 189.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 6.83 Mn |
| Dec 31, 2025 | 2.87 Mn |
| Sep 30, 2025 | 10.31 Mn |
| Jun 30, 2025 | 439,000.00 |
| Mar 31, 2025 | 8.02 Mn |
| Dec 31, 2024 | -1.09 Mn |
| Sep 30, 2024 | 8.10 Mn |
| Jun 30, 2024 | 4.38 Mn |
| Mar 31, 2024 | 2.85 Mn |
| Dec 31, 2023 | 1.23 Mn |
| Sep 30, 2023 | 6.13 Mn |
| Jun 30, 2023 | 1.79 Mn |
| Mar 31, 2023 | 3.45 Mn |
| Dec 31, 2022 | 10.28 Mn |
| Sep 30, 2022 | 8.97 Mn |
| Jun 30, 2022 | 2.94 Mn |
| Mar 31, 2022 | 2.59 Mn |
| Dec 31, 2021 | 5.18 Mn |
| Sep 30, 2021 | 11.49 Mn |
| Jun 30, 2021 | 7.58 Mn |
API Access
Landmark Bancorp Cash from Operations 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=cash-from-operations&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();