Peoples Bancorp (PEBO) Operating Income (2010 - 2026)
Peoples Bancorp's Operating Income came in at $35.64 million for Q2 2026, up 29.8% from $27.45 million a year earlier but down 4.6% from the prior quarter.
Peoples Bancorp (PEBO) Operating Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Peoples Bancorp reported Operating Income of $148.96 million, up 10.7% year-over-year; for FY2025, it was $134.81 million, down 9.8% from FY2024.
- Operating Income carries a five-year compound annual growth rate of 25.9% (FY2020 to FY2025).
- Going back by year, Operating Income was $149.46 million in FY2024 (+3.0%), $145.13 million in FY2023 (+12.8%), $128.64 million in FY2022 (+125.8%) and $56.97 million in FY2021 (+33.6%).
- The five-year range for quarterly Operating Income is $27.26 million (Q2 2023) to $43.53 million (Q4 2023).
- Year-over-year, Operating Income has increased for three consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- The fastest year-over-year change in Operating Income over five years came in Q2 2022 (growth of 154.0%), and the weakest in Q2 2025 (a decline of 23.5%).
- Business Quant data shows PEBO's Operating Income at $37.35 million (Q1 2026), $37.98 million (Q4 2025) and $38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,140.26 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 | 5.11 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 | - | 35.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.64 Mn |
| Mar 31, 2026 | 37.35 Mn |
| Dec 31, 2025 | 37.98 Mn |
| Sep 30, 2025 | 38.00 Mn |
| Jun 30, 2025 | 27.45 Mn |
| Mar 31, 2025 | 31.38 Mn |
| Dec 31, 2024 | 34.86 Mn |
| Sep 30, 2024 | 40.88 Mn |
| Jun 30, 2024 | 35.88 Mn |
| Mar 31, 2024 | 37.85 Mn |
| Dec 31, 2023 | 43.53 Mn |
| Sep 30, 2023 | 40.73 Mn |
| Jun 30, 2023 | 27.26 Mn |
| Mar 31, 2023 | 33.61 Mn |
| Dec 31, 2022 | 33.98 Mn |
| Sep 30, 2022 | 33.39 Mn |
| Jun 30, 2022 | 31.74 Mn |
| Mar 31, 2022 | 29.54 Mn |
| Dec 31, 2021 | 33.16 Mn |
| Jun 30, 2021 | 12.49 Mn |
Peoples Bancorp Operating Income 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=operating-income&ticker=PEBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=PEBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();