Mid Penn Bancorp (MPB) Pension (2011 - 2021)
Mid Penn Bancorp's Pension came in at $2.8 million for Q4 2021, up 34.7% from $2.08 million a year earlier.
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Analysis
Mid Penn Bancorp (MPB) Pension (2011 - 2021) Analysis & Trends
Going back to Q4 2011, Mid Penn Bancorp's Pension data covers 11 quarters.
- Pension carries a five-year compound annual growth rate of 11.0% (FY2016 to FY2021).
- Going back by year, Pension was $2.08 million in FY2020 (-8.0%), $2.26 million in FY2019 (+663.2%), $296,000 in FY2018 (-81.8%) and $1.62 million in FY2017 (-2.3%).
- The Q4 2021 figure represents the highest quarterly Pension in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Mid Penn Bancorp | 881.41 Mn | 364.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 2.80 Mn |
| Dec 31, 2020 | 2.08 Mn |
| Dec 31, 2019 | 2.26 Mn |
| Dec 31, 2018 | 296,000.00 |
| Dec 31, 2017 | 1.62 Mn |
| Dec 31, 2016 | 1.66 Mn |
| Dec 31, 2015 | 1.72 Mn |
| Dec 31, 2014 | 2.05 Mn |
| Dec 31, 2013 | 1.97 Mn |
| Dec 31, 2012 | 2.03 Mn |
| Dec 31, 2011 | 1.97 Mn |
API Access
Mid Penn Bancorp Pension 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=pension&ticker=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "MPB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=pension&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();