Mid Penn Bancorp (MPB) FDIC Insurance (2009 - 2026)
Mid Penn Bancorp's FDIC Insurance came in at $314,000 for Q2 2019, up 237.6% from $93,000 a year earlier but down 12.5% from the prior quarter.
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Analysis
Mid Penn Bancorp (MPB) FDIC Insurance (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2019, Mid Penn Bancorp reported FDIC Insurance of $1.12 million, up 55.0% year-over-year; for FY2018, it was $772,000, down 2.5% from FY2017.
- FDIC Insurance carries a five-year compound annual growth rate of 9.7% (FY2013 to FY2018).
- Going back by year, FDIC Insurance was $792,000 in FY2017 (+15.1%), $688,000 in FY2016 (+12.2%), $613,000 in FY2015 (+13.1%) and $542,000 in FY2014 (+11.5%).
- The five-year range for quarterly FDIC Insurance is $93,000 (Q2 2018) to $359,000 (Q1 2019).
- Year-over-year, FDIC Insurance has increased for three consecutive quarters, with growth averaging 38.9% over the last eight quarters.
- The fastest year-over-year change in FDIC Insurance over five years came in Q2 2019 (growth of 237.6%), and the weakest in Q2 2018 (a decline of 52.1%).
- Business Quant data shows MPB's FDIC Insurance at $359,000 (Q1 2019), $264,000 (Q4 2018) and $187,000 (Q3 2018) in the three quarters before Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FDIC Insurance (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 | - | 3.57 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 | - | 785,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 785,000.00 |
| Jun 30, 2026 | 663,000.00 |
| Mar 31, 2026 | 800,000.00 |
| Dec 31, 2025 | 1.05 Mn |
| Sep 30, 2025 | 422,000.00 |
| Jun 30, 2025 | 994,000.00 |
| Mar 31, 2025 | 990,000.00 |
| Dec 31, 2024 | 843,000.00 |
| Sep 30, 2024 | 1.15 Mn |
| Jun 30, 2024 | 1.23 Mn |
| Mar 31, 2024 | 945,000.00 |
| Dec 31, 2023 | 730,000.00 |
| Sep 30, 2023 | 1.75 Mn |
| Jun 30, 2023 | 684,000.00 |
| Mar 31, 2023 | 340,000.00 |
| Dec 31, 2022 | 243,000.00 |
| Sep 30, 2022 | 254,000.00 |
| Jun 30, 2022 | 506,000.00 |
| Mar 31, 2022 | 591,000.00 |
| Dec 31, 2021 | 524,000.00 |
API Access
Mid Penn Bancorp FDIC Insurance 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=fdic-insurance&ticker=MPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "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=fdic-insurance&ticker=MPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();