Peoples Bancorp (PEBO) Other Operating Expenses (2010 - 2026)
Peoples Bancorp's Other Operating Expenses came in at $7.85 million for Q2 2026, up 6.7% from $7.36 million a year earlier and up 4.2% from the prior quarter.
Peoples Bancorp (PEBO) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Peoples Bancorp reported Other Operating Expenses of $30.14 million, up 11.4% year-over-year; for FY2025, it was $29.12 million, up 15.5% from FY2024.
- Other Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $25.22 million in FY2024 (+16.7%), $21.61 million in FY2023 (+51.7%), $14.24 million in FY2022 (-34.0%) and $21.57 million in FY2021 (+126.0%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q3 2023.
- Year-over-year, Other Operating Expenses has increased for seven consecutive quarters, with growth averaging 39.6% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2024 (growth of 277.5%), and the weakest in Q4 2021 (a decline of 88.2%).
- Business Quant data shows PEBO's Other Operating Expenses at $7.54 million (Q1 2026), $7.4 million (Q4 2025) and $7.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Peoples Bancorp | 1.32 Bn | 565.85 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.85 Mn |
| Mar 31, 2026 | 7.54 Mn |
| Dec 31, 2025 | 7.40 Mn |
| Sep 30, 2025 | 7.36 Mn |
| Jun 30, 2025 | 7.36 Mn |
| Mar 31, 2025 | 7.01 Mn |
| Dec 31, 2024 | 6.60 Mn |
| Sep 30, 2024 | 6.11 Mn |
| Jun 30, 2024 | 6.74 Mn |
| Mar 31, 2024 | 5.77 Mn |
| Dec 31, 2023 | 1.75 Mn |
| Sep 30, 2023 | 9.82 Mn |
| Jun 30, 2023 | 7.44 Mn |
| Mar 31, 2023 | 4.57 Mn |
| Dec 31, 2022 | 3.49 Mn |
| Sep 30, 2022 | 4.01 Mn |
| Jun 30, 2022 | 3.40 Mn |
| Mar 31, 2022 | 3.67 Mn |
| Dec 31, 2021 | 3.81 Mn |
| Sep 17, 2021 | 5.10 Mn |
Peoples Bancorp Other Operating Expenses 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=other-operating-expenses&ticker=PEBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PEBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();