Landmark Bancorp (LARK) Cash & Equivalents (2010 - 2021)
Landmark Bancorp's Cash & Equivalents was $117.31 million in Q3 2021, up 641.6% from $15.82 million a year earlier but down 10.5% from the prior quarter.
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Analysis
Landmark Bancorp (LARK) Cash & Equivalents (2010 - 2021) Analysis & Trends
At the end of FY2020, Cash & Equivalents at Landmark Bancorp came in at $84.82 million, up 519.4% from FY2019.
- Cash & Equivalents shows a five-year compound annual growth rate of 44.3% (FY2015 to FY2020).
- In earlier years, Cash & Equivalents was $13.69 million in FY2019 (-28.4%), $19.11 million in FY2018 (+15.3%), $16.58 million in FY2017 (-17.1%) and $20 million in FY2016 (+47.4%).
- Quarterly Cash & Equivalents has moved between $10.59 million (Q2 2017) and $131.02 million (Q2 2021) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with growth averaging 266.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 641.6%); the worst was Q1 2018 (a decline of 35.0%).
- Per Business Quant data, LARK's Cash & Equivalents in the three quarters before Q3 2021 was $131.02 million (Q2 2021), $109.15 million (Q1 2021) and $84.82 million (Q4 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Landmark Bancorp | 191.31 Mn | 191.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 117.31 Mn |
| Jun 30, 2021 | 131.02 Mn |
| Mar 31, 2021 | 109.15 Mn |
| Dec 31, 2020 | 84.82 Mn |
| Sep 30, 2020 | 15.82 Mn |
| Jun 30, 2020 | 18.19 Mn |
| Mar 31, 2020 | 28.78 Mn |
| Dec 31, 2019 | 13.69 Mn |
| Sep 30, 2019 | 21.74 Mn |
| Jun 30, 2019 | 14.30 Mn |
| Mar 31, 2019 | 14.33 Mn |
| Dec 31, 2018 | 19.11 Mn |
| Sep 30, 2018 | 16.29 Mn |
| Jun 30, 2018 | 19.88 Mn |
| Mar 31, 2018 | 13.04 Mn |
| Dec 31, 2017 | 16.58 Mn |
| Sep 30, 2017 | 18.77 Mn |
| Jun 30, 2017 | 10.59 Mn |
| Mar 31, 2017 | 20.06 Mn |
| Dec 31, 2016 | 20.00 Mn |
API Access
Landmark Bancorp Cash & Equivalents 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-and-equivalents&ticker=LARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=LARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();