Peoples Bancorp (PEBO) FDIC Insurance (2009 - 2026)
Peoples Bancorp's FDIC Insurance was $1.26 million in Q3 2026, down 1.9% from $1.28 million a year earlier and down 8.0% from the prior quarter.
Peoples Bancorp (PEBO) FDIC Insurance (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Peoples Bancorp's FDIC Insurance was $5.39 million through Sep 30, 2026, up 7.0% year-over-year; for FY2025, it was $5.14 million, up 4.2% from FY2024.
- FDIC Insurance has now increased for six consecutive years, with a five-year compound annual growth rate of 31.6% (FY2020 to FY2025).
- In earlier years, FDIC Insurance was $4.93 million in FY2024 (+3.0%), $4.79 million in FY2023 (+29.3%), $3.7 million in FY2022 (+87.3%) and $1.98 million in FY2021 (+51.8%).
- The Q3 2026 figure marks the lowest quarterly FDIC Insurance since Q2 2025.
- Compared with a year earlier, FDIC Insurance was higher in five of the last eight quarters, with growth averaging 4.6%.
- The best year-over-year quarter for FDIC Insurance over five years was Q2 2022 (growth of 212.3%); the worst was Q4 2021 (a decline of 35.0%).
- Per Business Quant data, PEBO's FDIC Insurance in the three quarters before Q3 2026 was $1.37 million (Q2 2026), $1.41 million (Q1 2026) and $1.35 million (Q4 2025).
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 | Peoples Bancorp | 1.39 Bn | 444.61 Mn | - | 1.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.26 Mn |
| Jun 30, 2026 | 1.37 Mn |
| Mar 31, 2026 | 1.41 Mn |
| Dec 31, 2025 | 1.35 Mn |
| Sep 30, 2025 | 1.28 Mn |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 1.25 Mn |
| Dec 31, 2024 | 1.25 Mn |
| Sep 30, 2024 | 1.24 Mn |
| Jun 30, 2024 | 1.25 Mn |
| Mar 31, 2024 | 1.19 Mn |
| Dec 31, 2023 | 1.26 Mn |
| Sep 30, 2023 | 1.26 Mn |
| Jun 30, 2023 | 1.46 Mn |
| Mar 31, 2023 | 801,000.00 |
| Dec 31, 2022 | 781,000.00 |
| Sep 30, 2022 | 709,000.00 |
| Jun 30, 2022 | 1.02 Mn |
| Mar 31, 2022 | 1.19 Mn |
| Dec 31, 2021 | 380,000.00 |
Peoples 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=PEBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "ticker": "PEBO", "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=PEBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();